Junior Data Engineer at Tossbank | Seoul

About the Team The Data Engineer (CPC) position will be part of the CPC Platform team within the Data Division of Tossbank. The CPC Platform team is dedicated to building a reliable data framework to meet various regulatory requirements (CPC, disclosures, regular reports, etc.) from financial authorities, enhancing both Tossbank's external credibility and in…

Join Our Dynamic Team!As an Android Developer at Tossbank, you will be an integral part of both a squad/team and the Android chapter.We operate in squad-based units, where diverse professionals collaborate in a small startup-like environment, fostering autonomy and innovation.Every Thursday, we break out of our silos to engage in Engineering Day, where chapter members share knowledge, discuss technology, and conduct code reviews together.Your ResponsibilitiesCollaborate with Product Owners, Product Designers, Server Developers, and other roles to create and enhance the Tossbank Android app service.Tackle technical challenges related to web-app communication to ensure seamless service delivery.Utilize our unique Toss Design System (TDS) to swiftly complete UI designs, allowing you to focus on core logic.Take ownership of all Android development decisions and prioritize tasks effectively.Experience rapid iterations by releasing new features to over ten million users weekly.Who We're Looking ForA proactive individual with a strong sense of responsibility for product quality and stability, who has successfully led continuous improvements.A candidate who has immersed themselves in technology and domain knowledge to add value to customers' lives.An individual who aspires to design optimized interfaces based on a comprehensive understanding of Android and mobile platforms.Technologies We UseKotlinKotlin Coroutines, RxJavaView System, Jetpack ComposeTDS (Toss Design System)Model-View-WhateverApplication ProcessApplication Submission > Pre-assignment Test > Cultural Fit Interview > Reference Check > Final Acceptance

Join Our Team! As a Machine Learning Engineer specializing in LLM, you will be a vital part of the TossBank ML Platform Team. Our ML Platform Team is dedicated to developing and operating the machine learning platform for TossBank. Your Responsibilities: Utilize LLM serving frameworks to directly operate and optimize models in a GPU environment. Build and manage the LLMOps platform, including LLM gateway servers, workflows, and vector databases. Develop LLM applications using various LLM technologies. Who We Are Looking For: Experience in serving models using frameworks like vLLM, SGLang, and TensorRT LLM in high-traffic environments is a plus. Previous experience in building and managing LLMOps platforms is preferred. Hands-on experience in developing LLM applications using LLM technologies is desirable. Familiarity with LLM fine-tuning and optimization is advantageous. A passion for the latest LLM technologies and a willingness to embrace new challenges are essential. Resume Tips: Detail impactful projects from your past experiences. Expand on your experience with LLMOps platform construction and troubleshooting. If you've implemented improvements in real services, share quantifiable results (omit sensitive information as necessary). Path to Joining TossBank: Application submission > Live coding test > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding. Important Notes: Any false information in resumes or disciplinary records from previous employment may result in cancellation of recruitment. Applicants who fall under disqualifying criteria as per TossBank's hiring regulations may also face cancellation of recruitment. Priority is given to applicants with disabilities and those eligible for national veterans' benefits in accordance with applicable laws. A Word from a Colleague: "This company is the best for ML Engineers who seek explosive growth." It provides a fantastic environment to work freely and immerse in tasks. It's a great choice for those looking to grow alongside exceptional colleagues.

About the Team You'll JoinThe Machine Learning Engineer (Product) is an integral part of the team responsible for AI services at Tossbank, collaborating with a diverse group of professionals including ML Engineers, Data Scientists, Server Developers, and Product Owners to oversee AI product development from inception to deployment.You will collaborate with various squads utilizing AI services to create innovative products and solutions.Your primary objective will be to automate and enhance processes such as identity verification, document processing (OCR), and customer service automation using cutting-edge AI technology.Your ResponsibilitiesDesign and develop serving systems to ensure the stability and scalability of various machine learning models, including advanced AI technologies like Vision and LLM.Architect optimal serving structures tailored to specific ML model needs, implementing rapid and efficient solutions using specialized tech stacks.Create individual services capable of handling high traffic volumes based on a robust server architecture.Design serving pipelines for both batch and real-time ML processes, ensuring reliable operations with large datasets.Develop servers that can reliably serve heavy computation AI models while maintaining optimal response times and throughput.Preferred QualificationsProven experience in deploying ML models in real-world environments, focusing on performance tuning and optimization.Experience in developing and operating large-scale ML services that meet high SLA requirements within production settings.Familiarity with model compilation and optimization tools like TensorRT and ONNX Runtime to maximize inference performance on GPU environments.In-depth understanding and experience with ML serving and server development technologies, including Triton Inference Server, Kubernetes, and FastAPI.Strong knowledge of large-scale distributed systems and data pipeline technologies such as Airflow, Hadoop, Kafka, Spark, and Flink.Ability to design service architectures that balance stability and scalability while producing maintainable, high-quality code.Experience in leveraging AI technologies to solve complex problems through innovative products or services that drive business impact.Resume RecommendationsHighlight practical development experience with specific, case-driven examples.Include technical insights into problem-solving processes along with actual implementations.Discuss experiences prioritizing cost-effectiveness among trade-offs related to architectural complexity and development resources.

# Join Our Team- As a Product Manager (LLM) at Tossbank, you will lead the rapid experimentation of AI/ML-based features and products, connecting them to real user experiences to drive product success.- After joining, you will be part of the ML Service Team, responsible for discovering, planning, implementing, and operating AI-driven products.# Your Responsibilities- Conceptualize and lead end-to-end improvement cycles for AI and ML-based products.- Define and execute how various AI and ML technologies should function in Tossbank's customer-facing or internal products.- Collaborate closely with Data Scientists and ML Engineers to bridge technology and product.- Understand complex technical, business, and regulatory requirements, working with developers to strategically solve problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design AI-driven user experiences and business structures with a long-term perspective.# Ideal Candidate- We are looking for someone with experience or a strong interest in services utilizing AI Agents, LLM, and ML.- You should have a track record of leading challenging projects with high technical complexity or uncertainty.- If you want to engage not just in simple project management, but also in influencing company-wide development processes and culture while building a stronger team with various stakeholders (planning/design/development/operations/partners), you will be a great fit.- You must possess the ability to create incremental results by considering both business impact and technical feasibility.- We seek someone who thinks comprehensively, redefines problems when necessary, and guides towards better solutions rather than merely executing given tasks.- Practical experience in designing and operating machine learning-based products or systems is a plus.# Resume Tips- Please detail your direct contributions to products/services/projects.- Clearly outline the flow from problem definition to solution development to collaboration with stakeholders to final results for each product, service, or project.- Instead of merely listing duties, include achievements and insights gained during the process.- Share any experiences where you directly contributed to measurable outcomes or improved business metrics.- If you have experience collaborating with multiple developers to solve complex technical issues, please share.# Joining the Tossbank Journey- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in your resume or disciplinary issues are identified during your employment history, recruitment may be canceled.- Candidates who fall under disqualifications as per Tossbank’s employment regulations may also have their recruitment canceled.- We prioritize applicants with disabilities and those eligible for national veteran benefits in accordance with relevant laws.# A Word from a Colleague“It’s not enough for technology to be impressive; it gains meaning only when it connects to customer experiences.” At Tossbank, AI PMs don't just engage in experiments and ideas. They take full responsibility for understanding how technology solves problems and what experiences it delivers to users.- You will work closely with Data Scientists and ML Engineers, using real user feedback, not just numbers, to guide your decisions. If technology doesn’t function well or doesn’t fit the context, shifting directions and redefining the problem is also part of the PM's role.- This is a team where such considerations are natural and where quick experimentation is encouraged!

Join our innovative UX Research Team at Tossbank, where collaboration and shared insights drive our research initiatives.About the TeamOur UX Research Team thrives on exchanging diverse research perspectives and insights, fostering a collaborative environment.The UX Researcher collaborates with all teams requiring user feedback, primarily working closely with the product team. We don't just respond to research requests; we proactively suggest improvements when we identify issues in the service.Your RoleAs a UX Researcher at Tossbank, you will investigate various financial product experiences that change throughout a customer's lifecycle and explore the interconnections between these products.You will provide insights that enable effective customer communication from a holistic banking perspective rather than focusing solely on specific financial products or services handled by individual product teams.Based on identified pain points and needs experienced by users of traditional banks, you will uncover edge points that can deliver new value.Your work will fundamentally involve proposing direction for how products should evolve based on customer feedback and identifying areas for improvement.You will utilize appropriate research methodologies such as Usability Testing (UT), In-depth Interviews, Focus Group Interviews (FGI), and Online Surveys to examine user experiences.Close collaboration with the product and strategy teams is essential; your role will involve discovering product issues and collaboratively leading strategic propositions rather than simply executing requests for research.

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

Welcome to the daangn Team!At daangn, we strive to create an environment where individuals can grow alongside the company’s success.We are here to assist you in making meaningful connections with fantastic colleagues. Introducing the Data Valuation TeamThe daangn team is dedicated to discovering valuable information that connects neighborhoods and resolving inconveniences in local living. To generate this user value, we must provide easy access to reliable information for decision-making. While we already utilize vast amounts of data for our decisions, maximizing the value of our data requires substantial change.The vision of the Data Valuation Team is to "make user-centric decisions through daily data utilization." We take the lead in addressing and solving the issues of data valuation.Role of the Data Analytics EngineerThe Data Analytics Engineer ensures that data is utilized reliably and consistently, working across data modeling, engineering, and analysis to deliver value to the business and its users.In the diverse service environment of daangn, the Data Analytics Engineer will design and improve the overall flow of data collection to utilization, enabling analysts, engineers, and product teams to leverage data reliably.Moreover, the role involves designing data marts, managing quality, operating data governance frameworks, and performing basic analyses or experiments to support data-driven decision-making. Discover the Journey of the Data Valuation Team with daangn (Google Data Webinar) Learn about daangn's Metric Platform KarrotMetrics The 7 Challenges daangn Faced While Implementing DBT and Airflow How daangn's Data Engineers Simplified Modeling with DBT (2024 Data Conference) Mapping daangn Data: Column Level Lineage Building No Need to Always Pull Everything? Building MongoDB CDC at daangn Why daangn Implements User Activation Engagement in 3 Key Areas

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.

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 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- 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."

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.

Welcome to daangn Team JourneyAt daangn, we are committed to creating an environment where individuals can grow alongside the company's expansion.We, the daangn recruitment team, are here to assist you in having those moments of joyful contemplation with wonderful colleagues. Introducing the Data Analyst Roledaangn's vision is to foster a warm and active community by connecting neighbors. To achieve this vision, we continuously enhance our products through informed decision-making. As a Data Analyst, you will play a crucial role in improving the quality of these decisions through data analysis.The Data Analyst at daangn will uncover insights regarding user needs and product development directions by analyzing vast amounts of data generated from our products. By closely communicating with various teams, you will define data analysis tasks that address the problems we need to solve and convey the insights gained in an understandable manner to all team members. This process will guide our decision-making in the right direction, contributing to daangn's growth.Your ResponsibilitiesYou will belong to the Data Analyst Chapter while also being affiliated with specific business or organization teams.Define data analysis tasks necessary for product growth and user experience improvement, analyzing diverse data dimensions such as product, user behavior, marketing, and revenue to provide insights and strategies.Systematize and structure the company's goals and team objectives through measurable indicators, creating an accessible environment for all team members.Set indicators and hypotheses for goal achievement, proposing action items through A/B test design and interpretation.Structure and convey insights from analyses in an easily understandable manner for team members.Lead the team's data-driven decision-making culture.We Are Looking ForA candidate with experience in web/app data analysis and a proven track record of product improvement.A problem-solver who can define complex issues and think multidimensionally about various hypotheses.An individual with a solid understanding of mobile service data analysis methods (such as AARRR).Experience or knowledge in designing and executing A/B tests to drive product improvements.Proficiency in SQL (BigQuery), Python, and capable of efficiently querying and processing data.A communicator who can effectively convey data-driven decisions to team members.Preferred QualificationsExperience in utilizing data to propose strategies and achieve business impact.Hands-on experience in the entire data modeling process for analysis.A keen interest in marketing data analysis and marketing automation, familiar with tools like Appsflyer and Adjust.

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.).

# Join Our TeamThe Machine Learning Engineer (Service) is part of the ML Tribe within Tossbank's Data Division.Our team is dedicated to leveraging AI (LLM, ML) technologies to tackle challenges previously unresolved in the financial sector, optimizing operations with the aim of maximizing profitability.Your ResponsibilitiesDevelop and operate agents to optimize financial tasks.Design and develop systems for delivering robust and scalable financial ML models.We Are Looking For Someone WhoHas experience and skills in developing and operating ML services with high SLA requirements in high-traffic environments.Can design service architectures that consider both stability and scalability, alongside writing maintainable, high-quality code.Has experience or interest in optimizing tasks with agents.Is familiar with technologies such as FastAPI, LLM, Agents, Kafka, Spark, Flink, and Airflow.Has a track record of utilizing AI technologies to solve large and complex problems or has created services/products that have made a significant business impact.Resume TipsStructure your resume around practical development experiences with specific examples.Detail your technical considerations and implementations aimed at solving problems.Discuss your experiences in analyzing trade-offs between architectural complexity and development resource allocation to determine cost efficiency.If you have worked on projects that resulted in business impacts, please elaborate on those experiences.Share your experiences in applying developed products to production and refining them based on performance metrics.Journey to Joining TossbankApplication Submission > Live Coding Test > Technical Interview > Cultural Fit Interview > Reference Check > Offer Negotiation > Final Acceptance and OnboardingImportant NotesJob offers may be rescinded if any false information is found in your resume or if disciplinary actions are noted in your employment history.According to Tossbank's Employment Regulations Article 8 (Hiring Disqualifications), candidates found to have disqualifying reasons may have job offers revoked.Applicants with disabilities or those eligible for national veterans' benefits are given preferential treatment in accordance with relevant laws.

Welcome to the Journey of Joining the Daangn Team!At Daangn, we strive to create an environment where individuals can grow alongside the company's growth.The Daangn recruitment team is here to help facilitate those moments of thoughtful collaboration with wonderful colleagues. Introducing the Data Value TeamThe Daangn team is dedicated to uncovering valuable information within local neighborhoods and resolving inconveniences in regional living. To create user value, it's essential to provide trustworthy information that users can easily access and incorporate into their decision-making. While Daangn already utilizes extensive data for decision-making, maximizing the value of our data requires significant changes.The vision of the Data Value Team is to make decisions for users through data every day. To realize this vision, we proactively tackle challenges in data value realization and lead the way in solving them.About the Data Software Engineer RoleThe Data Software Engineer plays a crucial role in addressing the challenges that arise during the process of data value realization through software engineering.In alignment with Daangn's rapid growth, you will design data systems that will not become bottlenecks in the future. You will ensure data reliability through automated testing and system observability. Additionally, you will solve technical problems that arise as Daangn members seek to understand users through data, thereby exponentially enhancing data-informed decision-making through data products (indicator platforms, experiment platforms, etc.).The mission of the Data Value Team's engineers is to facilitate a seamless flow of high-quality data at Daangn, enabling the creation of value without bottlenecks. Discover the Journey of the Data Value Team Growing with Daangn (Google Data Webinar) Learn about Daangn's Indicator Platform, KarrotMetrics Seven Challenges Daangn Faced in Implementing DBT and Airflow Tips for Easy Modeling with DBT from Daangn's Data Engineer (2024 Data Conference) Creating a Data Map at Daangn: Building Column Level Lineage No Need to Always Fetch Everything? Daangn's MongoDB CDC Build

About the Team You'll Join The Business Data Analyst will be part of the Corporate Initiatives Team within the Strategy Tribe of Toss Bank's Strategy Division. This team plays a critical role in management planning by deriving insights for corporate-level decision-making and discovering new initiatives. We develop, measure, and analyze key performance indicators (KPIs) across the organization to manage overall performance. Your role will involve collaborating with various teams to facilitate data-driven decision-making, interpreting the current state of Toss Bank, and envisioning its future. Your Responsibilities Will Include Building data foundations for key management decisions and supporting process establishment. Structuring management information to provide accurate and timely insights to Toss Bank team members. Designing and enhancing frameworks for establishing enterprise OKRs, analyzing contributions of product organizations, and conducting cost-benefit analyses to support critical decision-making. Structuring and automating performance management systems. Creating data foundations that enhance not only short-term performance but also long-term growth and the value of Toss Bank as a platform, ensuring sustainable growth. Building processes and frameworks to connect user data with financial and operational data for holistic analysis. Supporting team members in understanding how their work impacts overall metrics through a common language and framework for data-driven decision-making. We're Looking For Someone Who Can independently carry out the entire process of data analysis from data cleansing to problem definition and insights generation. Has over 5 years of practical experience in data analysis using SQL. Experience with statistical analysis tools such as Python or R is a plus. Is proficient in at least one data visualization tool (Tableau, Redash, Power BI, Google Data Studio, etc.). Possesses strong communication skills to convey analytical results clearly. Has experience collaborating with teams focused on data analysis, strategic planning, management control, or FP&A from an enterprise perspective. Can quickly grasp the company's current situation, identify issues, and propose new alternatives and strategies. Resume Submission Guidelines There are no specific formats or items required. Please present your experiences in a way that best showcases your qualifications. It’s beneficial if your resume outlines the problem definition, hypothesis setting, experimental design and validation, and outcomes of projects you've undertaken. If you have experience proposing new alternatives and strategies based on a solid understanding of the business, please include that. Journey to Joining Toss Bank Application submission > Pre-query test > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding.