Data Engineer (AI) at Toss Securities | Seoul

Join Our Dynamic TeamThe Data Engineer (AI) position is part of the AI Data Platform Team at Toss Securities.The AI Data Platform Team comprises Data Engineers, Machine Learning Engineers, Server Engineers, and Product Operation Managers, fostering collaboration across various roles.Our mission is to develop a unique data moat for Toss Securities through the integration of diverse securities domain data and AI technologies, providing essential insights for investors.We utilize external LLMs and conduct training and evaluation of our internally developed models while leveraging various data platform technologies.Your ResponsibilitiesProactively identify and lead projects to solve business challenges at Toss Securities, overseeing the entire process from data architecture design to development and operation.Build and manage a securities data platform that integrates, processes, and serves global market data.Establish and maintain a knowledge graph platform for real-time domain data.Create and operate data pipelines that underpin AI service products.Develop and manage a feature store for personalized recommendation services in real-time.Ensure data integrity by designing, developing, and operating data quality verification and monitoring systems.We Seek Candidates WhoHave over 5 years of experience in data engineering.Can comprehend requirements and analyze technical trade-offs to determine the optimal data architecture in a given environment.Possess a solid understanding and experience in large-scale distributed processing and data platforms.Have experience sharing knowledge with peers and junior engineers, contributing to the technical growth of the entire team.Are interested in leveraging AI beyond mere tools, understanding its principles to innovate engineering productivity.Can coordinate with colleagues across various functions and provide constructive feedback.Are eager to take on new challenges and proactively learn and grow.Preferred ExperiencesExperience with Kafka-based stream processing and large-scale distributed data processing (Hadoop/ClickHouse/ElasticSearch).Experience building and operating data pipelines using Airflow, Docker, and Kubernetes.Experience in monitoring and managing data integrity and quality.Stay up-to-date with the latest trends in AI/data technologies and have an interest in automation and productivity enhancement.

About the Team You Will Join The Data Engineer (Search) at Toss Securities is part of the AI Tribe within the AI Intelligence Silo. This Silo is a collaborative team consisting of Data Engineers, Machine Learning Engineers, Server Engineers, Frontend Engineers, Product Owners, and Product Designers, all working towards creating AI-driven information services leveraging securities domain data. Our focus is not just on presenting information but on rapidly experimenting with how to process and present data in a way that assists investors effectively. Search acts as the primary entry point connecting various securities data and AI services, with the Data Engineer (Search) being responsible for search/indexing functionalities that can be utilized across AI-based data services. The role centers around designing and operating the data and indexing aspects that constitute our search services, concentrating on stably designing and managing the data flow and infrastructure for search indexing rather than just enhancing algorithms or ranking models as seen in larger portals or e-commerce. Key Responsibilities Design and manage the indexing pipeline for Toss Securities search services, including stocks, autocomplete, news, and community features. Architect and reliably operate real-time/big data pipelines for search indexing. Gain insights into Elasticsearch-based search indexes and enhance the indexing structure and performance from a data perspective. Collaborate on data integrity management and re-indexing strategies to ensure stable data delivery for search. Gradually expand your responsibilities into areas beyond search, such as Graph search and ingestion of new data sources. Who We Are Looking For A candidate with over 3 years of experience in Data Engineering. Strong programming skills are preferred. Experience in designing or operating real-time or batch-based data pipelines is a plus. Experience in collecting and processing diverse data sources for service utilization is beneficial. Familiarity with big data processing platforms such as Spark, Hadoop, Impala is an advantage. A passion and curiosity for learning new domains and technologies are highly valued. A preference for collaborative environments where feedback and growth are encouraged is ideal. Additional Preferred Experience Experience using or managing search service infrastructures like Elasticsearch, Lucene, or Solr is advantageous. A genuine interest or experience in search domains such as search engines, recommendations, or ranking systems is a plus. Resume Tips Please detail your experience in designing/developing/operating data pipelines, ETL, streaming, etc. Highlight your role in projects and what you learned and improved through those experiences. If you have experience with search or Elasticsearch, even on a smaller scale, please describe the problems you solved. Your Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance and onboarding

Join Our Team!The Data Engineer (DataOps) at Toss Securities is part of the Data Infra Team within the Data Division.The Data Infra Team manages a big data infrastructure based on the Hadoop ecosystem and operates a log/search platform (Elasticsearch). We provide technical support for Kubernetes, which is widely used for data acquisition and various data operations. Additionally, we are developing a data analysis platform aimed at enhancing the company's data literacy. Curious About the Data Division?The Toss Securities Data Division strives to become the world's leading securities firm in data management by contributing to data technology, services, and data-driven decision making.A diverse range of data professionals collaborate closely and enjoy their work.We regularly host Tech Weekly sessions to share expertise. If you are interested and willing, you can learn from various roles and their methodologies. Your Responsibilities Include:Operating and Improving a Stable Log PlatformThe log platform (Elasticsearch) at Toss Securities stores logs generated from various services, making it a key tool for securities service operations.You will innovate to ensure real-time data acquisition and fast search capabilities, handling millions of records per second.Managing the Toss Securities Search PlatformWe utilize an Elasticsearch-based search platform to provide a variety of search services for stocks, news, and content.You will collaborate with search engineers to create an environment for accurate and rapid searches without delays.Operating and Supporting Data KubernetesVarious engineers (Data Engineers, ML Engineers, DW Engineers, Search Engineers) in the Data Division use dedicated data Kubernetes for data acquisition, serving, and internal operations.The Data Engineer (DataOps) will address issues arising from the Data Kubernetes infrastructure and continuously develop the system from a long-term perspective.You will also analyze the experiences of data engineers, focusing on process development, operation, and enhancement tasks. We Are Looking For Candidates Who:Have over 5 years of experience as a Data Engineer.Have experience using or operating search engines like Elasticsearch or Solr.Have worked with or managed distributed databases.Have experience operating Kubernetes + Istio-based infrastructure.Understand or have experience with the Hadoop ecosystem.Have built and managed metric systems in large-scale distributed environments.Have experience operating container orchestration services and CI/CD servers.Can automate engineering experiences within their current organization and improve processes or tools.Possess the ability to eliminate poor funnels in engineering experiences, as our organization focuses on collaborative achievement rather than direct supervision. Technologies We Use at Toss Securities:Python, Kotlin, Java, Spring Boot, Spring Cloud ConfigElasticsearch stack, Opensearch stack, Vector

Join Our Team As a Machine Learning Engineer at Toss Securities, you will be part of the AI Tribe, collaborating with Data Engineers, Server Engineers, Frontend Engineers, Product Owners, and Product Designers. The AI Tribe aims to create data services that provide essential information to investors using data from various securities domains and cutting-edge Machine Learning technologies. Our focus is on developing personalized recommendation systems and utilizing LLM-based technologies. Your Responsibilities Develop personalized services based on diverse securities domain data and user behavior data. Experiment with reinforcement learning, deep learning, and machine learning methodologies to build recommendation models. Formulate and validate hypotheses regarding user information consumption, enhancing our services in the process. Define the criteria for recommendations and user profiles beyond simple item suggestions. Ideal Candidate Experience in validating hypotheses through personalization and recommendation systems in real-world applications. Strong foundational knowledge of recommendation system domains. Hands-on experience experimenting with and optimizing various deep learning and machine learning-based recommendation models. Familiarity with modeling based on actual user behavior data from apps. Resume Tips Detail your projects or services, including their objectives and outcomes. Focus on impactful projects or services. Explain the problems you solved and the technologies you used. If certain information is sensitive, please omit those details. Technologies Used at Toss Securities Predict user behaviors through User Modeling based on diverse user data. Build deep learning recommendation models by defining and utilizing User Features. Implement Multi-Armed Bandit (MAB) technology in our recommendation services. Generate and validate data as needed, fine-tuning and testing Large Language Models. Conduct experiments and build Retrieval/Chunking/Reranker/Generation models to establish RAG systems. Application Process Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding Important Notes Any false information found in your resume or documents may lead to cancellation of your application. Individuals prohibited from hiring under Toss Securities regulations may have their applications canceled. Disabled individuals and those eligible for national veterans' benefits will be given preference in accordance with relevant laws. A Message to Future Colleagues “We are looking for colleagues who are ready to innovate financial services through Machine Learning technology!” Investors in the financial market require vast amounts of information to make informed decisions, but knowing what information to seek and where to find it can be challenging.

Join Our Data Platform Team!As a Data Engineer at Toss, you will be part of our Data Platform Team.The team consists of Data Engineers and Data Analytics Engineers.We are responsible for building platforms and data pipelines essential for analyzing the services provided by Toss.Your ResponsibilitiesDevelop and operate OLAP (Online Analytical Processing) based data pipelines.Design and optimize systems for reliable operation of large-scale data analysis and real-time/batch data pipelines.Develop and manage batch and streaming pipelines to load various types of data generated at Toss.Continuously improve data models and processing logic based on service requirements.We Are Looking For Candidates Who HaveExperience operating services in a Kubernetes (K8s) based environment.Experience in designing and operating data streaming pipelines using Kafka and Kafka Connect.Experience in processing large volumes of data using Apache Spark (Batch/Structured Streaming).Additional Skills That Would Be a PlusExperience in operating and tuning MPP/OLAP engines like StarRocks or ClickHouse.Experience in building Data Lakehouses using Open Table Formats such as Apache Iceberg, Hudi, or Delta Lake.Experience in real-time data processing using streaming frameworks like Kafka Streams or Apache Flink.Experience in designing and operating ETL pipelines based on Airflow.Your Journey to Join TossApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer

Join Our Security Team! The security team at Toss Securities is composed of dedicated professionals, including a CISO, Security Engineers, Security Researchers, Information Security Managers, and Privacy Managers. We are committed to creating secure services, receiving robust support from the entire organization, and collaborating effectively across all departments. Our team members, with diverse experience ranging from 1 to 20 years, primarily come from backgrounds in information security firms and corporate security roles. We actively share knowledge and collaborate to achieve common goals. To ensure the safe operation of our securities services, we conduct vulnerability assessments across various fields such as applications, cloud, infrastructure, and network. We are also developing automated testing systems using DAST, SAST, and IAST tools to enhance our testing framework. Your Responsibilities: Collaborate with relevant departments from the service planning stage to perform security reviews and provide guidelines for safe service implementation. Conduct vulnerability assessments on Toss Securities' internal and external services (WTS, MTS, operational systems, etc.), analyze results, and suggest improvements. Perform infrastructure vulnerability assessments as required by electronic financial regulations and domestic/international security certifications (Public/Private Cloud, Server, DBMS, Network, etc.). Execute scenario-based internal/external penetration tests and conduct preliminary checks to prevent internal information leaks. Who We're Looking For: Individuals with over 7 years of experience in vulnerability assessments. Experience in operating or conducting assessments with infrastructure vulnerability assessment tools. Experience in developing tools or automation programs for vulnerability assessments. Ability to perform REST API vulnerability assessments based on an understanding of MSA environments. Experience in security audits identifying vulnerabilities such as IDOR in Java or Kotlin source code. Experience in assessing application vulnerabilities in Android or iOS environments. Understanding of electronic financial services and securities systems is a plus. Experience or understanding of Attack Surface Management is a bonus. Application Tips: Include any services or programs you've developed or participated in, specifying the language, role, deployment status, and operational environment. Detail specific vulnerabilities identified through SAST, DAST, Image Scanning, Secret Scanning, and your corrective actions (company/service names can be anonymized). Explain how you assessed and responded to actual security incidents or potential risks, such as secret exposure or high-risk image vulnerabilities. Share challenges and solutions encountered during security assessment automation or policy application processes. Hiring Process at Toss Securities: Application submission > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding. Additional Information: Providing false information in your resume or discovering disciplinary actions in your employment history may lead to termination of the recruitment process.

Join Toss Securities, an innovative global securities firm that is revolutionizing how everyone views investment. We are rapidly becoming the leading platform for overseas stock trading. If you aspire to create products that facilitate growth alongside our investors, we invite you to apply to join 'Toss Securities'. Introducing the WM Innovation Tribe's Advisory SiloOur mission within the WM Innovation Tribe is to attract high-net-worth clients to Toss Securities and create an exceptional advisory experience tailored to their needs. Our primary goal is to demonstrate through product experience why high-net-worth clients should choose Toss Securities. About the Team You'll JoinThe Advisory Silo is responsible for developing investment strategy marketplaces and AI-based advisory services. High-net-worth clients often struggle to find trustworthy asset management partners in complex market environments. We aim to provide services that propose optimal strategies aligned with clients' asset sizes and goals, thereby establishing Toss Securities as their trusted long-term partner. As a solo designer, you will take the lead in crafting these experiences. Your Key Responsibilities- Design a conversion flow that helps high-net-worth clients clearly understand and join our membership program.- Create seamless experiences for subscribers to naturally enjoy premium benefits.- Experiment with and improve the UI of key screens to enhance subscription conversion and retention rates.- Collect qualitative and quantitative feedback on user pain points and use it to enhance experiences.- Simplify complex policies related to payments and subscription management into user-friendly UIs.- [Check out our FAQ for Designers](https://tosspublic.notion.site/99fbc158436240cf994ef5af1ccc5537)We Are Looking for Someone Who- Has experience identifying and improving user needs based on quantitative and qualitative data.- Can design and launch solutions that address customer requirements.- Possesses strong logical communication skills to persuade team members and facilitate collaboration.- Is capable of designing structured and aesthetically pleasing App and Web UIs.- Is eager to grow alongside Toss, even without prior financial experience. Preferred Qualifications- Experience designing services that include subscription or commerce conversion and payment flows is a plus.- Familiarity with creating experiences for premium or VIP clientele is advantageous.- Experience in improving UIs based on user behavior data and measuring performance is preferred.- Ability to quickly understand complex information, technologies, and policies, and translate them into structured UIs and consistent UX.- Experience designing customer experiences across various devices, including mobile and PC, is a plus. Important Application Information- Product Designers can apply in two ways. Click the 'Apply' button to choose your application method.Quick Apply without a Portfolio: Just one strong example of your work is enough. Answer the five questions prepared by Toss without needing to submit a portfolio file.Apply with an Existing Portfolio: If you have a portfolio ready, please submit it directly.- Evaluation criteria remain the same regardless of the application method.- In both cases, the job interview will involve a deep discussion about two of your selected examples. Please note that regardless of portfolio submission, there will be a need for separate presentation material preparation later on.- After confirmation of employment, the silo you will join will be determined, with each silo developing a variety of new and existing products. Tips for Your Application- It’s beneficial to share your thought process in solving user-centered problems.- For product improvement projects, providing images of before (as-is) and after (to-be) screens will enhance your submission.- Aim for creativity and a challenging approach rather than sticking to standardized solutions.

Join our innovative team at Toss Payments as a Data Engineer, where you'll play a crucial role in building and optimizing our data infrastructure. You will work with cutting-edge technologies, collaborating with cross-functional teams to drive data-driven insights and solutions. Your expertise will help us enhance our payment systems and improve user experiences.

About the Team You Will Join The Machine Learning Engineer (LLM) at Toss Securities is part of the AI Tribe. You'll collaborate with various Data, Server, Frontend Engineers, Designers, and Product Owners to tackle product-level challenges. The goal of the AI Tribe is to simplify complex financial and securities information, delivering only the most relevant data to individuals through data and ML-based services. To achieve this, we experiment with a variety of ML techniques, including NLP/LLM training and operation, AI service development, and personalized recommendations, integrating these into real products. Your Responsibilities Upon Joining As a Machine Learning Engineer (LLM) at Toss Securities, you will take on two primary roles. If you excel in one area, you can still make significant contributions to the team. Model Training, Serving, and Operations You will train models suited for text-based challenges (e.g., classification, extraction, summarization, translation). Enhance model quality through fine-tuning, experimental design, and performance evaluation. Serve models in a live service environment and ensure their stable operation. Monitor performance degradation and changes in data distribution, implementing improvements as needed. Defining AI Service Problems, Data Construction, and AI Feature Design Reframe complex financial and securities domain issues into solvable ML/LLM problems. Define and construct datasets to facilitate model training. Generate advanced insights based on various financial data such as disclosures, news, and financial data. Collaborate with multiple teams to ensure AI features operate seamlessly within products. We Are Looking For Individuals with experience in creating and deploying LLM or NLP models. Those who have taken full responsibility for the entire cycle from data definition to model operation. Insights into utilizing LLMs effectively and reliably are a plus. Ability to logically explain why specific approaches are appropriate in problem-solving. Interest in the securities domain and simplifying complex information through technology. Preferred Qualifications Experience in developing and enhancing a single LLM/NLP model from start to finish. Experience analyzing performance degradation or data changes in service operations and implementing structural improvements. Experience improving AI features from the perspective of user experience or product metrics rather than solely model performance. Resume Recommendations Clearly state the problems you aimed to solve, the methods you chose, and the resulting changes (e.g., metrics or product modifications). Include improvements attempted during the operational phase, not just model development. Be specific about your roles within LLM, NLP, or services. Focus on the overall structure and your key contributions. Exclude sensitive information that cannot be disclosed publicly. The Journey to Joining Toss Securities Application Submission > Phone Interview > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding

Join Our Team! The Network Engineering team is tasked with establishing Toss Securities' network and security systems, along with managing data center operations. We collaborate with exceptional team members from diverse sectors including finance, commerce, portals, and gaming. Our goal is to support product focus by ensuring infrastructure capable of handling large-scale traffic and driving automation for quicker product releases. Your Responsibilities: Install and maintain Toss Securities' network and security devices, conducting regular status checks and resolving operational issues. Register and manage asset information for network and security devices (serial numbers, status, locations, etc.). Document work logs and change history for installation, migration, and decommissioning tasks. Oversee and enhance Toss Securities' network monitoring solutions. Provide rapid onsite response and first-level troubleshooting during incidents. Plan and support schedules for regular inspections of network and security devices. Be available for night or weekend maintenance when necessary. Manage cable connections for servers and storage, supervising cable installation by contractors. Who We Are Looking For: At least 5 years of experience in network technical support and field engineering. Understanding of network cabling standards and wiring practices is essential. Ability to respond effectively to incidents and perform basic network troubleshooting. Experience in collaborating with maintenance vendors and managing inspection documentation. Operational experience with major network equipment like Cisco and Arista is required; experience with Citrix NetScaler is a plus. Familiarity with security devices such as firewalls and VPNs, alongside a strong understanding of network security is preferred. Application Recommendations: In your resume, highlight a memorable case of technical problem-solving (optimization, bug fixing, etc.). Detail projects you've contributed to, including duration, roles, technology stack used, and improvements made. Your Journey with Toss Securities: Application submission > Job interview > Cultural fit interview > Final acceptance and onboarding. Please Note: This position is a contract role with a duration of one year. Any discrepancies in the resume or disciplinary records may result in cancellation of employment. Applicants subject to hiring restrictions or disqualifications as per Toss Securities' policies may have their applications canceled. Applicants with disabilities or veterans will receive preferential treatment in accordance with relevant laws. A Note for Future Colleagues: “At Toss Securities, you can experience both the constraints of a financial infrastructure and the trendy mobile services of an IT company!” The financial infrastructure in South Korea can be quite restrictive, limiting the breadth of experiences. However, at Toss Securities, you have the responsibility and authority to implement solutions that benefit the business, allowing for valuable experiences without being bound by irrelevant solutions dictated from above.

Join Our Dynamic Team As a DevOps Engineer at Toss Securities, you will be an integral part of our DevOps & SRE team. You will innovate the deployment process by applying various technologies and tools, enabling developers to deploy services with ease. In the event of system failures, you will derive intuitive metrics to identify root causes, ensuring all developers can respond swiftly to incidents. Utilizing Kubernetes and the Cloud Native ecosystem, you will enhance large-scale systems to their fullest potential. Your Responsibilities Will Include Previously focused on improving operational experience, we are now dedicated to eliminating fatigue and inefficiencies in the development experience. You will manage monitoring, incident response, and troubleshooting tasks, continuously analyzing developer experiences and overseeing the development and operational enhancements. We Are Looking For Candidates Who Have relevant experience in container orchestration, as it is a primary responsibility of this position. Possess experience in network troubleshooting, as this is a challenging aspect of the role. Can automate engineering experiences or create tools for improvements within their current organization. Thrive in a collaborative environment where teamwork is key, and can identify and eliminate inefficient processes based on their engineering experiences. Resume Recommendations Outline your experience managing infrastructure based on Kubernetes + Istio. Detail your experience building and operating metric systems in large-scale distributed environments. Include your experience in operating services based on container orchestration and CI/CD servers. Mention your experience with AWS cloud services. Technologies Used at Toss Securities Kotlin, Java, Gradle Netty, Spring MVC, Spring Webflux, Spring Boot, Spring Cloud Gateway, Spring Cloud Config JPA/Hibernate, MySQL, MongoDB, Hadoop, Redis, Memcached, Zookeeper Kubernetes + Istio, HAProxy, Nginx GoCD, ArgoCD, Consul, Vault, Git, Docker, Spinnaker, Jenkins, Ceph, Harbor Kafka, ELK, Prometheus + Thanos, InfluxData, Grafana

Join Our Dynamic TeamAs a Data Engineer at Toss, you will be part of the Data Platform team.The Data Platform team operates within the Data Division, supporting and managing the data and platforms necessary for all Toss services.Our team comprises members with 2 to 18 years of experience from diverse backgrounds, including portals, banking, gaming, and startups.We encourage team members to pursue various interests and collaborate freely on skills and knowledge sharing.Your ResponsibilitiesDevelop and maintain stable and efficient data pipelines (ingestion, loading, streaming).Contribute to data-driven Toss services through real-time distributed processing of large datasets.Create and manage tools to ensure a reliable and efficient data experimentation and analysis environment for your colleagues.Develop various data service applications for data analysis and platform operation.Who You AreYou have experience in developing data pipelines for large-scale data processing (collection, processing, analysis).You are familiar with large-scale distributed systems (Hadoop, HBase, Kafka, Spark, Flink, etc.).You possess software development skills for data application development (Java, Scala, Python, etc.).You have intermediate or advanced programming skills (web/client/server programming).Experience in developing services related to recommendations/advertising/machine learning is a plus.Please Highlight These Experiences in Your ResumeDetail the projects you worked on, the technologies you used, and how you solved challenges, rather than just listing languages or frameworks.Experience using platforms similar to Toss is beneficial, but we prioritize growth potential and problem-solving abilities over specific technologies.Include any experience resolving critical failures while operating platforms or optimizing for performance and resource usage.Share experiences where you identified and resolved bugs in open-source software or contributed enhancements.Your Journey to Joining TossApplication submission > Technical interview > Cultural fit interview > Reference check > Compensation discussion > Final offer

About the Team You'll Join You will be part of the DataOps Engineering Team under the Data Division at Toss Bank. Utilize the Hadoop Ecosystem and various open-source technologies to manage enterprise data reliably and efficiently. Establish standards for data workflows and develop and optimize data pipelines. Responsible for performance and stability optimization of open-source-based analytical platforms. Your Responsibilities Upon Joining Develop, operate, and automate the enterprise data pipelines. Efficiently process and optimize large data using open-source tools. Manage a large-scale Airflow cluster in an on-premises Kubernetes environment. Evaluate and implement new technologies like Iceberg and Trino for data platform enhancement. Ideal Candidate Profile Proficient in development within a Hadoop Ecosystem environment. Extensive experience with open-source pipeline tools such as Airflow, Nifi, Kafka, and Flink, along with strong problem-solving skills. Experience in developing data pipelines for large-scale data collection, processing, and analysis. Experience in analyzing, tuning, and optimizing execution plans for distributed processing engines like Spark is a plus. Beyond just using open-source tools, it would be great if you have experience in analyzing source code and contributing through patches and backporting. Resume Recommendations Please specify impactful projects you have worked on, particularly those involving the design and construction of ETL/streaming pipelines. If you have applied improvements in actual services, please quantify the results (omit sensitive information if necessary). Share experiences that go beyond mere development and construction to include troubleshooting, operations, and achieved results. Joining Toss Bank Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance and Onboarding Important Notices If any false information is found in your resume or if disciplinary issues are confirmed during your employment history, hiring may be canceled. Hiring may be canceled for applicants who fall under the disqualifications specified in Toss Bank's employment regulations.

# About the Team- The Data Mart Platform Team is dedicated to building a standardized Data Warehouse for various Toss products, aiming to prevent data silos and enhance overall data maturity across the organization.- Responsibilities include enhancing centralized DW quality management processes, standard monitoring, integrating product data with the enterprise data mart, designing efficient pipelines, and creating standardized marts.- **Interested in learning more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/) # Responsibilities- After completing an onboarding process to familiarize yourself with Toss's DW standards, you will work as part of the Data Mart Platform Team.- Maintain and manage an agile and manageable enterprise DW standard, taking responsibility for DW quality management from an enterprise perspective in collaboration with DAEs (Domain Analytics Engineers) from various product domains (development and execution of standard management monitoring).- Plan and execute systems and processes to enhance data reliability, improving table consistency, advancing DQ rules, and establishing health check metrics.- Develop enterprise-level marts, managing the integration of standard marts from different domains and ensuring efficient data pipeline improvements.- Identify and execute tasks to enhance data discoverability across the organization.- Develop a platform to measure data maturity across various Toss domains and initiate projects to enhance the productivity of DAEs.- The data development environment is based on Hadoop, Airflow, Python, and SQL (Impala). # Desired Qualifications- Understanding of database normalization and the fundamental characteristics of Data Warehouses (Subject-Oriented, Integrated, Non-Volatile, Time-Variant).- Ability to clearly define key concepts as a DW data modeler and propose efficient data structures based on diverse data perspectives.- High-level understanding of DW standard management and the capability to propose and lead improvement initiatives at the enterprise level.- Strong comprehension of data governance aspects, including data quality and compliance, with the ability to suggest actionable plans.- Proficient in SQL, capable of writing efficient and readable queries.- Basic Python skills (enough to work with Airflow) are acceptable, but understanding modules and PySpark code written by others is preferred.- Experience with large-scale data processing and designing metrics from an AARRR perspective is a plus. # Application Tips- Please specify any relevant experience with DW construction projects and mart design, detailing your contributions.- Mention specific challenges you have addressed regarding data maturity.- Outline your contributions and lessons learned while solving data-related issues. # Joining Toss - Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding # A Note to Future Colleagues > "Our team strives for better service every day." - I was drawn to the thrilling risks associated with financial data and saw that my growth could contribute to the company's success, which is why I joined Toss. - The most stressful aspect of my previous company was being led by predetermined objectives, but Toss offers more autonomy than I expected, along with a dedicated and ambitious team focusing on "better service every day."

Join Our Team! At Toss Securities, our Server Chapter is filled with enthusiastic colleagues who are eager to collaborate and create meaningful advancements. We thrive on constructive discussions and innovative problem-solving, where every idea is valued, and constructive criticism is encouraged. We enjoy engaging in technical discussions and hold various study sessions. Whether you're new to the field or an experienced professional, you'll find opportunities to expand your knowledge and apply what you've learned in practical ways. Our active code review process ensures that you gain hands-on technical expertise. As a Server Developer at Toss Securities, you'll work across various teams, including Product Owners, Designers, Frontend Developers, and Data Analysts, in a dynamic environment similar to a startup. You'll also engage with specialized teams managing core financial data and ensuring the stability of our services. We are dedicated to developing back-office products that alleviate the inconvenience of visiting physical locations, creating a seamless experience for our users. Worried about communication with fellow developers across different teams? Don't be! Our community supports strong collaboration through code reviews, Engineering Days, and weekly Server Chapter meetings. Your Responsibilities We primarily utilize Java/Kotlin and the Spring Framework for server development. You will engage in selecting and standardizing efficient development practices and libraries. You will also focus on improving our architecture for easy deployment and maintenance, ensuring stability and performance. Working with technologies like Redis, Kafka, Kubernetes, and ELK, you'll tackle challenges related to high traffic and concurrent processing. You will be responsible for creating various aspects of the Toss Securities service, from real-time data processing to managing user account information and stock transactions. You will have ownership of your product areas and will make key technical decisions. Who We Are Looking For We seek individuals who are persistent problem solvers. You should be comfortable tackling complex challenges and delivering valuable solutions for our customers. A broad mindset is essential, as we sometimes need to take bold steps to simplify issues. We value individuals who are open to collaboration and are willing to take initiative, even when responsibilities may not be clearly defined.

About the Team You'll Join The Data Analyst at Toss Bank is integrated into both the squad and DA chapter, functioning within a matrix structure. At Toss Bank, teams are organized into squads, consisting of 6-8 professionals including Product Owners, Designers, Developers, and Analysts, working autonomously like a startup. Data Analysts in the Toss community belong to the DA chapter, which meets every Wednesday to share insights on data analysis topics. The DA chapter comprises team members with 1 to 12 years of experience from diverse backgrounds, including finance, corporate, gaming, and e-commerce. Key Responsibilities You'll Undertake As a Data Analyst at Toss Bank, you will define business problems through data and identify optimal solutions to effect real change. Drive Data-Driven Decision Making: Go beyond merely extracting requested data by defining the 'real problems' behind business needs and formulating hypotheses. Validate hypotheses using appropriate methodologies, such as causal inference and A/B testing, to derive actionable insights. Create Reliable and Efficient Analytical Environments: Focus on developing reusable data structures that team members can utilize repeatedly, moving beyond one-time analyses. Establish data standards through data mart design and consistency validation that everyone can trust. Work Smart with Technology: Utilize cutting-edge technologies (AI, LLM, etc.) to enhance efficiency in repetitive tasks, allowing for a focus on more significant problem-solving. Proactively adopt new analytical methods and tools that can elevate productivity without being constrained by past practices. We Seek a Candidate Who: Can discern the essence of problems and proactively propose solutions that consider the impact on our team, company strategy, and business objectives. Understands complex business logic and can translate this into coherent SQL queries for structured data. Is adept in deep data analysis using tools like Python/R, capable of accurately interpreting experimental results based on statistical knowledge. Can communicate complex analytical findings in simple terms that non-experts can understand and persuade. Preferred Experience: Experience in constructing dashboards and analytical environments using tools such as Tableau or Amplitude is a plus. Prior involvement in service planning and log design stages is advantageous. Experience in leveraging new technologies (like AI) to enhance work processes is preferred. Resume Tips: Detail impactful projects you have worked on. Showcase the process of problem definition, hypothesis formulation, experimental design, validation, and results. Mention any experiences that led to deep user understanding through data analysis and actionable insights. Check if you have extensively utilized mobile service data analysis methods (LTV, AARRR, Cohort, Funnel, etc.).

About the Team You'll Join The Compliance Manager at Toss Securities is an integral part of the Compliance Division, specifically within the Compliance Team. This team is responsible for establishing and operating internal control systems essential for the development of Toss Securities' innovative products and services, as well as conducting pre-reviews to prevent legal risks. Team members collaborate and share their expertise based on their individual specializations to achieve common objectives. Your Responsibilities Upon Joining [Business Compliance Advisory] Analyze relevant regulations at the time of launching new services and design practical alternatives to mitigate risks. Provide compliance reviews in close communication with operational departments (Tribe/Silo). [Internal Control Inspections] Identify tasks requiring internal control inspections and establish inspection policies and measures. Enhance internal control checklists by department and improve the inspection process. When issues are detected during inspections and monitoring, derive corrective measures and communicate them to operational departments for follow-up. We Want to Work With Someone Who Has a minimum of 3 years of experience in compliance monitoring or legal affairs in a securities firm. Possesses practical knowledge of core business logic in the securities industry (e.g., brokerage, advisory/management services). Has experience in establishing diverse inspection and monitoring policies related to internal controls based on a strong understanding of retail services and mobile business. Exhibits excellent communication skills for collaboration with operational departments. It Would Be Great If You Also Have Experience collaborating with product teams. A strong understanding of control logic for various financial products. Knowledge in other internal control areas such as AML, consumer protection, and personal credit information. Experience dealing with regulatory bodies, such as responding to inspections by the Korea Exchange. Resume Submission Tips Clearly outline your actual monitoring, inspection, and improvement measures performed by task. If you have experience in establishing various inspection and monitoring policies related to internal controls based on a strong understanding of retail services and mobile business, please detail that. Describe experiences where you presented alternatives instead of a simple 'No' when faced with unreasonable demands from operational departments. If you have examples of process improvements that not only strengthened internal controls but also created value, please provide details of the improvements and their impacts. Your Journey to Joining Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Offer and Onboarding Please Note Employment may be rescinded if false information is found in your resume or if disciplinary actions during your employment history are confirmed. Employment may also be rescinded for candidates who fall under prohibited hiring categories or have disqualifying factors as per Toss Securities' internal regulations.

Join Our Audit Team Our audit team plays a crucial role in identifying and enhancing enterprise risks. We assess internal control systems and collaborate with various departments to drive tangible improvements. Guided by our motto, “Audit proactively like a vaccine, and protect as a shield until the end,” we approach our auditing tasks with a commitment to identify risks early and take responsibility for outcomes. As the regulatory environment in the securities industry becomes increasingly complex with the launch of new products, proactive risk assessments and collaboration with colleagues are vital to ensuring comprehensive control integrity across the business. Your Responsibilities Conduct in-depth audits related to regulatory compliance frameworks and internal control design following new license acquisitions (consulting/trading). Lead reviews of regulatory compliance and control appropriateness throughout the entire process of new product and service launches (including planning, development, and operations). Analyze the Financial Supervisory Service's sanctions database and financial consumer protection issues to incorporate them into audit items, deriving proactive prevention measures. Provide expertise and review monitoring rules developed in collaboration with RegTech specialists from the perspective of securities regulations and product controls. Manage the quality of regulatory and product-related documentation during inspections by supervisory agencies, supporting effective responses. We Are Looking For A candidate with over 10 years of experience in compliance, auditing, or risk management within financial investment companies or related organizations. A deep understanding of core securities regulations, including the Capital Markets Act, Financial Consumer Protection Act, and investor protection regulations, along with strong interpretive skills. Experience in reviewing regulatory compliance or control design/operations for new financial products or services throughout their entire launch process. Ability to diplomatically mediate conflicts with audit target departments and provide logical feedback centered on improvement rather than criticism. Experience participating in the development of RegTech or data-driven regulatory monitoring systems, providing regulatory/business perspective expertise is a plus. Possession of professional auditing certifications (CISA, CIA, etc.) or legal/accounting qualifications related to regulation is an advantage. Resume Tips Detail specific cases where you identified proactive regulatory risks during new license acquisition or product launch processes and led them to substantial control improvements, focusing on applicable laws and control items. If you have worked with IT specialists such as RegTech/DA auditors to incorporate regulatory control elements into IT systems or designed data monitoring rules, please emphasize this experience. Highlight your role and key achievements in preparing materials related to regulatory interpretation and product processes if you have experience responding to supervisory agency inspections. Emphasize fact-based examples of logical mediation and consensus-building among stakeholders (business departments) during internal control improvement processes. Application Process at Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding A phone interview may be conducted if necessary. Please Note Any false information found in the resume or disciplinary records during employment history may lead to cancellation of the recruitment process. Individuals who are prohibited from hiring according to Toss Securities' internal regulations or have disqualifying reasons may have their applications canceled. Individuals with disabilities and those eligible for national veterans' benefits are given preference in accordance with relevant laws. A Message for Future Colleagues The audit team at Toss Securities aims not just to point out issues but to drive substantial improvements and proactive risk responses, fostering a culture of continuous enhancement.

Join Our Team!As a Node.js Developer at Toss Securities, you will be part of the Automation Platform Team.The Automation Platform Team is dedicated to creating and managing customer-facing services that provide a unique experience for users of Toss Securities, along with internal services that support these offerings.Your role will involve designing and implementing a range of automation platforms that help employees and customers shift their focus from repetitive tasks to more valuable work. What You Will Do:Develop Node.js-based applications that operate in diverse environments, including server and client-side applications.Write libraries and test code to create stable and observable services. We Are Looking For:A candidate with a deep understanding of Node.js, TypeScript, and Nest.js, or someone with ample practical experience in other server-side environments (like Spring) who is ready to transition to the Node.js ecosystem.Experience in designing and operating distributed applications, with the ability to define and resolve issues related to concurrency, atomicity, and parallel processing.Familiarity with log collection and monitoring for stable service operations.Ability to write flexible, readable, and maintainable code.Skills in identifying repetitive or inefficient processes and proposing better alternatives. Resume Tips:Describe challenges encountered during projects and how you solved them.Summarize your thoughts on good coding or design philosophy. Technologies Used at Toss Securities:Typescript, NestJS, pnpm, VitestELK Stack, ZooKeeper, Redis, Kafka

Join Our Innovative TeamAs a Product Owner at Toss Securities, you will become part of a dedicated product organization known as a 'silo'. This agile team comprises 6-8 professionals, including fellow POs, developers, product designers, and data analysts, all working together with the autonomy of a small startup, making independent decisions regarding product development.In your role, you will connect user needs with Toss Securities' business strategy, creating accessible investment services that enhance customer experiences.Your responsibilities will span the entire product lifecycle, from defining key metrics and designing business models to driving action items and achieving tangible results.You will establish valid hypotheses, validate them through experimentation, and leverage data insights to refine the product, ensuring a strong Product-Market Fit.As a leader, you will set goals and strategies for business direction, revenue, and profits, engaging in thorough discussions with your silo team to determine the best course of action.This role is akin to being a CEO of a small startup—addressing challenges head-on, defining problems, and experiencing the highs and lows of entrepreneurial ventures.Your responsibilities extend beyond the launch of new financial products; you will also work on cross-activation services, create community platforms, and develop asset management services.Ideal Candidate ProfileWe prefer candidates with a profound understanding of mobile products over securities domain knowledge, as Toss Securities operates with a tech-first mentality.Experience depth may not correlate directly with years; we do not impose strict experience limits.Relevant experience in an agile environment, delivering meaningful business and product outcomes through both success and learning from failures is essential.An analytical mindset is crucial for solving diverse and complex challenges using data.Experience in defining problems from a user perspective and implementing solutions is highly valued.Founders with A to Z experience in startups, from business/product planning to organizational operations, will find this role particularly appealing.Resume TipsClearly outline the problems defined, hypotheses established, actions taken, and results achieved for each product/service/project you have handled.Highlight impactful experiences and learning points instead of simply listing tasks to showcase your strengths.Ensure your resume reflects your ability to drive product success and learning effectively.