Data Governance Manager

Role Overview Toss is seeking a Data Governance Manager in Seoul to help strengthen data integrity, compliance, and management across the company. This role works closely with teams throughout the organization to build and maintain data governance frameworks and policies. The focus is on responsible data use and adherence to regulatory requirements. What You…

# About the Team You Will JoinThe IT Governance Manager at Toss Bank is part of the IT Planning Department/IT Governance Team.The IT Governance Team handles tasks related to service outsourcing, third-party risk management, AI governance, and business continuity planning (BCP).This team collaborates closely with various departments, including platform, procurement, risk, and compliance, to ensure Toss Bank adheres to financial laws and regulations.# Responsibilities You Will HaveEstablish policies and processes related to outsourcing in financial institutions and prepare reports for the Financial Supervisory Service (FSS).Identify whether outsourcing is necessary before contract execution and draft contract clauses to ensure compliance.Create, collect, and manage documents in accordance with outsourcing standards.Perform pre- and post-reporting as well as semi-annual status reporting to the FSS based on the nature of outsourced tasks.Select and manage key outsourcing service providers according to third-party risk guidelines.# We Are Looking ForA candidate with a good understanding of regulations related to outsourcing in financial institutions, information processing outsourcing for financial companies, and capital market regulations.Experience in designing, implementing, and improving policies or operational processes is required.Previous experience communicating and responding to regulatory authorities would be advantageous.# Resume Submission RecommendationsPlease include experiences related to general service outsourcing, information processing outsourcing, and outsourcing by dual financial investment corporations.Describe your experiences ensuring compliance with outsourcing standards.Detail collaboration experiences with relevant departments, regulatory authorities, and contracting parties related to outsourcing.# Your Journey to Joining Toss BankApplication submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance # Important NotesIf any false information is found in the resume or if disciplinary issues are confirmed during employment history, recruitment may be canceled.According to Article 8 of Toss Bank's Employment Rules (Disqualification for Recruitment), candidates with disqualifications may have their recruitment canceled.Individuals with disabilities and national veterans will be given preference in accordance with relevant laws.# A Message for Future Colleagues“Becoming a member of Toss Bank’s IT Governance Team, which leads IT in the finance sector, is truly a great opportunity.”The IT Governance Team at Toss Bank strives to establish internal control procedures that enable team members to perform their tasks efficiently, rather than merely satisfying compliance requirements.You will feel fulfilled knowing that the processes and procedures you create help your colleagues work more efficiently and contribute to the growth of Toss Bank.We are looking for enthusiastic colleagues to actively participate in establishing IT governance. We are here to assist in making it a reality. Anyone who is eager to grow with Toss Bank is welcome!

# About the Team You'll Join The IT Governance Manager at Toss Bank will be part of the newly established IT Governance Team within the IT Planning Department. The IT Governance Team is responsible for managing business continuity planning (BCP), third-party risk management, AI governance, and related tasks. This team collaborates closely with various departments, including platform, procurement, risk, and compliance, to ensure adherence to financial regulations and standards. # Responsibilities You Will Undertake Develop and operate a comprehensive business continuity plan (BCP) that meets regulatory requirements and internal control standards. Prepare for and respond to annual ISO 22301 certification audits. Establish and maintain internal procedures in accordance with third-party risk guidelines. Assess risks at different contract stages and oversee the selection and management of key outsourcing partners. Establish and manage AI governance based on the Basic Act on Artificial Intelligence and relevant guidelines. # We Are Looking For Candidates Who Have experience in emergency response training and operating emergency response committees in line with BCP. Understand the structure and requirements of ISO 22301 and have experience responding to certification audits. Have managed and reviewed key contracts to minimize third-party risks. Are interested in the Basic Act on Artificial Intelligence and AI governance guidelines. # Resume Submission Tips Highlight your experience related to BCP and ISO 22301 certification audits. Detail your experience in risk assessment, contract drafting, and vendor due diligence related to third-party risks. If you have experience or understanding of AI governance or the Basic Act on Artificial Intelligence, please include that in your resume. # Joining the Toss Bank Journey Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Salary Negotiation > Final Offer # Important Notes If any false information is found in the resume or related documents, employment may be canceled. According to Article 8 of Toss Bank's Employment Regulations, candidates with disqualifying reasons may have their applications canceled. Individuals with disabilities and veterans are given preference in accordance with relevant laws. # A Note for Future Colleagues “Joining the IT Governance Team at Toss Bank, which leads IT in finance, is an incredible opportunity.” The IT Governance Team at Toss Bank strives not merely to satisfy compliance but to establish internal control processes that enable bank members to perform their tasks efficiently. You will feel a sense of pride in helping colleagues work more efficiently through the procedures and processes you create, contributing to the growth of Toss Bank. We are looking for proactive team members to help establish IT governance. We will support you in realizing this goal. Anyone willing to grow with Toss Bank is welcome!

ResponsibilitiesOversee the overall operations of government projects, ensuring effective implementation and management.Facilitate communication with external entities, including lead governmental agencies and partner organizations, to foster collaboration.Assist with various administrative tasks under the Management Support department, contributing to the overall efficiency of the organization.

About the Team You'll Join The Finance Governance Manager at Toss Securities is part of the Financial Governance Team within the Finance Division. This role is responsible for overseeing all processes related to internal transactions, from reviews to settlements through relevant contracts. Ensuring the fairness and tax stability of internal transactions is a key priority for us. Your Responsibilities Include Reviewing the structure and pricing methods of internal transactions. Evaluating reasonable allocation criteria for shared costs. Handling settlement operations related to common contracts. Reviewing and managing contracts. Managing board approvals for internal transaction budgets. We Are Looking For Someone Who Has experience in designing or reviewing transaction structures between subsidiaries and can effectively address accounting and tax issues. Has experience in establishing internal transaction policies or dealing with transfer pricing. Can communicate clearly with relevant departments and subsidiaries at Toss Securities, assisting executive decision-making. Your Journey to Joining Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Offer Negotiation > Final Acceptance and Onboarding Please Note If false information is found in your resume or if disciplinary actions are confirmed during your employment history, your recruitment may be canceled. Individuals prohibited from hiring or those with disqualifying reasons according to Toss Securities' regulations may have their recruitment canceled. Individuals with disabilities or military veterans will be given preference in accordance with relevant laws. A Note for Future Colleagues"Being a business partner in a rapidly growing company and watching our collective growth is truly fulfilling!" Having transitioned from a corporate finance planning role to the Finance Team at Toss Securities, I've found that while larger corporations focus on stabilizing established businesses, Toss offers the excitement of reviewing and modeling new business models every day. It's incredibly rewarding to be responsible for identifying KPIs essential to the company and exploring new market opportunities, making a real impact through analytical work. If you're passionate about creating your own impact through numbers and enjoy leading analytical tasks, don't hesitate to apply!

Join Our TeamThe Compliance Manager at Toss Securities will be part of the Compliance Division within the Compliance Team.The Compliance Team is responsible for establishing and operating internal control systems that are essential for the development of Toss Securities' innovative products and services, and for conducting preliminary reviews to prevent legal risks.Our team members collaborate by sharing their expertise towards common goals.Your Responsibilities[Internal Control System Planning]Develop and establish a responsibility mapping structure and management obligations for executives.Analyze issues identified during internal control monitoring and inspections, and formulate corrective action plans.[Governance Operations]Manage the Internal Control Committee and prepare reports for the Board of Directors, while overseeing and reporting on the status of corrective actions.Establish internal control policy guidelines across subsidiary companies and oversee their compliance.[Internal Control Inspections]Identify tasks requiring internal control inspections, develop inspection policies, and plan and execute thematic inspections.When issues are identified during reviews, inspections, or monitoring, analyze root causes and design preventive systems.Ideal Candidate ProfileMinimum of 5 years of compliance monitoring experience in the securities industry.Experience in internal control assessments or process development across multiple departments.Experience managing governance bodies such as Internal Control Committees and Boards.Proficient in providing diverse insights related to internal controls.Excellent communication skills for effective collaboration with various teams.Preferred QualificationsExperience in reviewing conflicts of interest or setting up information barrier policies.Experience in establishing and operating responsibility mapping.Experience in reviewing new products and services.Experience in responding to regulatory inspections, such as those from the Korea Exchange.Resume Submission TipsDetail your experience in building or improving internal control systems.Provide specific examples of governance-related experience, such as responsibility mapping and internal control assessments.Share your experience in planning and executing thematic inspections, including risk prevention outcomes.Include experiences related to corrective action planning or investigations of violations.Express your views on the role of compliance departments within companies.Detail experiences in mediating interests among multiple departments or suggesting improvements.Journey to Join Toss SecuritiesApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Offer Negotiation > Final Acceptance and OnboardingPlease Note:If any false information is found in your resume or if disciplinary actions are identified during employment history, your application may be canceled.Hiring may be canceled for individuals falling under prohibited hiring criteria according to Toss Securities' regulations.

As a Lead in Government Affairs for the APAC region at Cohere, you will play a pivotal role in shaping our policy strategies and enhancing our engagement with government entities across the Asia-Pacific. This position involves leading efforts to advocate for favorable regulations and policies that support our business goals while navigating the complex political landscape of the region.Your expertise will drive our initiatives to build strong relationships with government officials, industry stakeholders, and advocacy groups. You will analyze legislative developments, prepare policy briefs, and represent Cohere at key industry events, ensuring that our voice is heard and our interests are effectively represented.

# Data Product at Toss Bank- The Data Product team views data as valuable, creating user-friendly data-centric products.- Data Products are built on data pipelines, analytics systems, and machine learning models, making them easily accessible for individuals and systems.- Our Data Products must ensure clarity in value delivery, with attributes such as consistency, reliability, regulatory compliance, security, usability, scalability, and reusability.- We offer completed service-oriented Data Products like recommendation systems, fraud detection systems (FDS), optical character recognition (OCR), speech-to-text (STT), and dashboards, as well as reusable and combinable Data Mart/API products.# Role Overview- As a Data Product Manager (Mart, API), you will define and manage the company's data as a 'product'. Your responsibility is to provide data in a timely, accurate, and user-friendly manner to internal analysts, engineers, and planners, thereby accelerating data-driven decision-making and driving business growth.- Upon joining, you will integrate into the Data Division, developing and executing the roadmap for data products centered around enterprise data marts and APIs.# Responsibilities- Define and execute the roadmap for data products based on Data Mart and API.- Identify data consumer requirements (VOC) to define data structures, schemas, and access methods (APIs), designing the best developer experience.- Collaborate closely with Data Engineers, Analysts, and operational departments to bridge the gap between business requirements and technical implementation.- Lead the design of a scalable and stable data architecture, understanding complex requirements such as data governance, security, and privacy.- Set key performance indicators (KPIs, OKRs) to measure the success of data products and continuously monitor and improve data quality, API response times, and usage.- Shape the overall data strategy of the organization, designing and executing a long-term vision of 'creating business value through data'.# Ideal Candidate- We are looking for someone with experience or deep understanding of planning and launching data products such as Data Marts, data warehouses, API platforms, and BI tools.- Preferred candidates will have experience leading technically challenging or ambiguous projects to completion.- We seek individuals who can create incremental outcomes while considering both business impact and technical feasibility.- Ideal candidates will want to engage not just in project management but also in transforming the organizational culture and processes around data utilization, collaborating with diverse stakeholders (analysts, engineers, operational departments) to build stronger teams.- We favor those who approach problems holistically and redefine them when necessary to guide projects in better directions.- Experience designing developer APIs or leading large-scale data pipeline projects is a plus.# Resume Tips- Clearly articulate your contributions to data-related projects.- Present a clear narrative of problem definition, solution derivation, collaboration process, and final outcomes.- Focus on achievements (e.g., increased API usage, improved data quality, contributions to automation) rather than simply listing roles.- Highlight experiences solving complex data/technical problems while collaborating with multiple stakeholders.# Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any falsehoods are discovered in your resume or disciplinary issues are found in your work history, your application may be canceled.- Candidates who fall under disqualifications according to Toss Bank’s internal regulations or hiring disqualifications for financial institutions may have their applications canceled.- Individuals with disabilities and those eligible for national veteran status will receive preferential treatment in accordance with relevant laws.# Colleague's Insight> "You must be able to view Toss Bank's data as a product."- You will play a role in outlining the roadmap for data products based on Data Mart and API, especially in accelerating data-driven decision-making and driving business growth, which offers significant career growth opportunities.

# About the Team/Position- The Data Product Manager (Log) is part of the Real-Time Data team.- This team ensures that all Toss Bank products operate on reliable data by designing and managing the entire process of log data from 'definition - collection - validation - utilization'.- The App Log Manager plays a crucial role in maintaining the integrity of log data over time, creating standards and quality criteria that ensure data reliability.# Responsibilities- Define and manage the log structure and standards across apps and servers (json schema, key/value rules).- Build and manage the Log Specification with a traceable history of key/value creation, modification, and deletion.- Minimize structural differences between FE, BE, and Native logs while enforcing a unified logging policy.- Design and enhance automated validation systems to ensure log data quality, including: - Syntax validation: checking fields, types, and structures - Semantic validation: ensuring consistency and meaning in logs for the same actions.- Balance team resources and efficiency during standardization and automation, optimizing overall organizational log operations.- Collaborate with data engineers, data analysts, and developers to institutionalize log standardization and QA processes across the organization.- Analyze and address the impact of UI/UX changes, such as design modifications or multilingual (i18n) expansions, on log meaning.- Design a balance between standardization, validation, and automation while taking responsibility for overall data quality.# Ideal Candidate- A self-starter who can structure the entire lifecycle from log definition to validation, with experience in writing Log Specifications and schema design, as well as key/value management.- Strong problem awareness regarding log quality assurance and validation automation, with practical experience in designing and improving validation/QA systems.- Experience in integrating logs from various platforms (FE, BE, Native) into a cohesive system or able to approach complex environments structurally.- Familiarity with dynamic parameters and unstructured log formats.- Proven experience in creating a governance structure focused on systems rather than individuals while collaborating with diverse roles (DA, DE, FE, BE, QA, Design) to improve data quality.- Understanding the influence of design changes and multilingual extensions on log meaning, with the ability to design realistic connections with designers and developers.- Capable of not just identifying complex issues but also designing and implementing practical processes to enhance data quality.# Resume Recommendations- Experience in defining, designing, and managing app logs or service logs.- Experience in log standardization, key/value rules, and schema management.- Experience in designing validation and QA automation (Python, SQL, Airflow, CI/CD, etc.).- Experience in integrating and managing FE/Native/BE logs for quality assurance.- Experience in addressing data quality issues such as log error detection, backfill, and reprocessing.- Experience collaborating with various roles (FE, DA, DE, QA) to enhance data quality.# Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- Any false information found in resumes or documents may lead to job cancellation.- Applicants falling under the disqualification criteria per Toss Bank's employment rules may also face cancellation.- Disabled individuals and veterans will receive preferential treatment in accordance with relevant laws.# A Colleague's Insight"We manage the log structure and standards across applications and servers."- The Log DPM at Toss Bank plays a pivotal role in ensuring that logs maintain their meaning over time and are trusted as reliable data.- This role provides a great sense of utility as it is responsible for overall data quality!

# Join Our Team- As a Security Audit Manager at Toss Securities, you will play a pivotal role within our Security Audit Team in the Security Division.- The Security Audit Team is responsible for conducting independent internal audits across the entirety of our information security management system, IT infrastructure, information security systems, and overall data management frameworks.- Collaboration with various teams is essential to create reliable financial services, encompassing diverse areas such as security, infrastructure, platforms, and products.- The Security Audit Team consists of specialists focusing on [Information Security Management] and [Data Protection and Management], providing in-depth audits and supporting the decision-making processes of the CISO (CPO, CIAP).# Responsibilities- Develop audit plans based on relevant regulations, including the Personal Information Protection Act and the Credit Information Act, and conduct comprehensive audits of personal data processing systems and customer data management.- Evaluate compliance and safety measures throughout the entire lifecycle of personal data processing, including collection, usage, provision, and disposal.- Assess the security management status and regulatory compliance in the latest personal data processing environments, such as pseudonymized information and AI-based services.- Evaluate the adequacy of data breach prevention and response systems while identifying areas for improvement.- Objectively analyze audit results and prepare reports, offering specific recommendations for enhancing the level of personal data protection.# We Are Looking For- Candidates with experience in establishing and managing personal data protection systems, and who have addressed various personal data issues in services.- A deep understanding and practical application of relevant laws, including the Personal Information Protection Act, the Credit Information Act, and the Act on Promotion of Information and Communications Network Utilization.- Specialized knowledge in data lifecycle management and methodologies for Personal Data Impact Assessments (PIA).- Audit capabilities related to new personal data processing environments, including pseudonymized information and AI-based services.- Excellent communication skills for effective collaboration with diverse teams.# How to Apply- Please share specific examples of your experience in personal data protection and data management audits.- Include your achievements in improving personal data processing environments or data management activities through audit responses and self-assessments.- Detail your experience in interpreting and applying personal data protection regulations.- Highlight your audit experience in new personal data processing environments, such as AI technology, MyData, and pseudonymized information.- If you have experience collaborating with various teams to resolve complex issues, be sure to showcase that.

# About the Team You'll Join- As a Data Product Manager (AI) at Toss Bank, you will lead the rapid experimentation of AI/ML-driven features and products, connecting them to actual user experiences to drive product success.- Upon joining, you will collaborate with the ML Service Team to discover, plan, implement, and operate AI-based products.# Responsibilities You Will Undertake- You will spearhead the end-to-end planning and improvement cycles of AI and ML-based products.- Define and execute how various AI and ML technologies should function in Toss Bank'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, designing domains with developers while strategically solving problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design user experiences and business structures from a long-term perspective, focusing on AI.# Ideal Candidate Profile- We are looking for someone with experience or strong interest in services utilizing AI Agents, LLM, and ML.- You should possess experience leading high-complexity or uncertain challenges to completion.- We value those who wish to engage not just in project management but also in transforming organizational development processes and cultures, working with diverse stakeholders (planning/design/development/operations/partners) to build a stronger team.- You need to have the ability to create incremental outcomes by considering both business impact and technical feasibility.- We want someone proactive who can think comprehensively about challenges, redefine them when necessary, and lead towards better solutions.- Practical experience designing and operating ML-based products or systems is a plus.# Resume Submission Tips- Clearly detail your direct contributions to products/services/projects.- Your resume should reflect a clear flow from problem definition to solution derivation, collaboration with stakeholders, and outcome.- Instead of merely listing tasks, include achievements and insights gained during the process.- Highlight any experience where you contributed to measurable outcomes or improvements in business metrics.- Share experiences where you collaborated with multiple developers to resolve complex technical issues.# The Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in the resume or if disciplinary actions are confirmed during employment history, the recruitment may be cancelled.- Candidates with disqualifying reasons as per Article 8 (Disqualification) of Toss Bank’s employment regulations may have their recruitment cancelled.- Individuals with disabilities or national veterans are preferred according to relevant laws.# A Colleague's Insight"It's not just about having great technology; it gains meaning when it connects with customer experiences."- At Toss Bank, the AI PM does not limit themselves to experiments and ideas. They take full responsibility for how technology solves problems and what experiences it provides to users.- By collaborating closely with Data Scientists and ML Engineers, decisions are guided not only by metrics but also by actual user feedback. If technology isn't functioning well or fitting the context, it’s also the PM's role to shift direction and redefine the problem itself.- This is a team where such considerations are natural and rapid experimentation is encouraged!

About the Team You'll Join The IT Governance, Risk Management, and Compliance (GRC) team at Toss Securities is dedicated to establishing standards for IT operations and identifying internal risks to foster improvements. The IT Audit Manager within the IT GRC team will gain comprehensive knowledge in both IT technologies and securities operations, leveraging expertise to identify and mitigate risks. Join a collaborative team where diverse experiences converge to solve challenges and foster growth. We welcome applications from individuals eager to tackle new tasks and engage in problem-solving processes. Your Responsibilities Create and implement annual audit plans, conducting regular and ad-hoc IT audits. Manage internal and external reporting when IT incidents occur. Respond to audits conducted by external auditors concerning IT internal control systems. Provide support for examinations by regulatory bodies such as the Financial Supervisory Service. Develop and operate IT internal control policies that promote innovation while ensuring compliance with electronic financial transaction laws and regulations. We Are Looking For Individuals with a minimum of 5 years of experience in IT and auditing roles. Proficiency in understanding and interpreting domestic and international regulations, including electronic financial supervision regulations. Strong communication and collaboration skills across diverse organizations. Ability to draft audit reports and related documentation clearly and effectively. Preferred Qualifications Experience in audit roles and examinations by external entities is advantageous. Possession of audit-related certifications such as CISA, CISSP, or CIA, as well as IT-related certifications, is a plus. Experience in internal control departments of financial institutions (audit teams, IT audit teams, compliance teams, etc.) is preferred. Background in IT planning, development, operations, and project participation is desirable. Resume Tips If you have concrete examples of how you have identified and mitigated risks through internal audits or similar roles, please include them. Detail any challenges you faced in implementing internal control improvements or new operational procedures, and how you overcame them. Include any IT-related roles you have held outside of internal audits or internal controls. If you have experience with regulatory examinations (e.g., from the Financial Supervisory Service), please describe your role and contributions. The Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance and onboarding. Please Note Any discovered discrepancies in resumes or disciplinary actions in employment history may result in cancellation of employment offers. Hiring may be canceled for candidates disqualified under Toss Securities' internal regulations. A Note for Future Colleagues“Let’s build an IT audit framework unique to Toss Securities together.”At Toss Securities, the IT audit role offers a remarkable opportunity to enhance and expand traditional control techniques and processes in a dynamic environment. We encourage those seeking new experiences and growth to apply!

Coupang is revolutionizing the commerce landscape, aiming to impress customers from the moment they launch the Coupang app until their orders arrive at their doorstep. With a dynamic end-to-end retail and logistics network, combined with a strong customer-centric culture, Coupang has eliminated the trade-offs between speed, selection, and pricing. We aspire to make you wonder, 'How did I ever live without Coupang?' Join our Inbound Supply Chain Management System (SCM) team as we tackle complex challenges using cutting-edge technology: Determining the optimal products to purchase from various vendors. Deciding the appropriate quantities of each product to acquire. Strategically positioning our inventory to ensure the fastest delivery to customers. Establishing the ideal inventory levels in each fulfillment center at the lowest possible cost. We are looking for a talented Data Scientist with a broad mastery of machine learning techniques. You will be responsible for developing, prototyping, and implementing innovative models using various methodologies including Supervised, Unsupervised, and Reinforcement Learning. We seek forward-thinkers who can harness generative AI to create, advocate for, and deploy state-of-the-art solutions to unprecedented challenges. Key Responsibilities: Exhibit comprehensive technical expertise in feature engineering for large datasets, perform effective exploratory data analysis, and build models using industry-standard AI/ML algorithms, including Large Language Models. Demonstrate proficiency in both Supervised (e.g., Linear/Logistic Regression) and Unsupervised algorithms (e.g., K-means clustering). Translate large datasets into actionable business insights, integrating analytics with marketing management. Collaborate closely with internal stakeholders, including business teams, engineering teams, and partners to align objectives. Innovate by adapting new modeling techniques and processes. Passionately work with extensive datasets, focusing on training and fine-tuning to address business inquiries. Possess deep expertise in dataset creation and management. Implement and operate stable, scalable data flow solutions from production systems into end-user applications and reports, ensuring solutions are fault-tolerant and adaptive. Utilize distributed machine learning and statistical methods to efficiently process large volumes of data to enhance customer service.

Join Our Team! The Finance Data System Developer at Toss Bank will be part of the Finance Data Platform Team within the Data Division. This team is responsible for managing management accounting and financial ALM simulation systems. We utilize the Hadoop Ecosystem and open-source environments to manage finance data. Your Responsibilities: Collaborate closely with the financial analysis team to design and manage management accounting systems. Work in tandem with the financial ALM team to design and develop ALM simulation systems. Engage in workflow development and automation tasks using Hadoop Ecosystem and open-source solutions. Ideal Candidate: Experience in management accounting or ALM system management within the financial sector is required. Proficiency in implementing business logic using Java or Python is essential. Strong SQL skills are necessary. Experience in designing marts and scheduling for financial analysis or ALM is preferred. Experience in developing management accounting or ALM systems utilizing Frontend/Backend technologies is a plus. Familiarity with data processing technologies in the Hadoop ecosystem is advantageous. Resume Tips: Please include the following in your application: a description of a problem you solved through automation or with a new approach, and an experience where you deeply learned a new technology. Join the Toss Bank Journey: Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Offer and Joining. Important Notes: False information in your resume or disciplinary issues in your work history may lead to cancellation of your application. Candidates with disqualifying factors as per Toss Bank’s employment regulations may also have their applications canceled. Individuals with disabilities and national veterans are given preference according to relevant laws.

Join Our Dynamic Team!The Data Analytics Engineer (Data Engineer) at Toss Securities is an integral part of the Data Warehouse Team within the Data Division.Your focus will be on Data Platform and Data Mart, with opportunities to collaborate cross-functionally.The Mart responsibilities include structuring and managing data from the Toss Securities domain to facilitate analysis through data warehouse and aggregation table creation.Our current team of approximately 7 members brings diverse experiences ranging from 2 to 14 years, with backgrounds in various sectors such as portals, banking, gaming, and startups. Curious About Our Data Division?The Data Division at Toss Securities strives to become a world-class securities firm by leveraging data technology, services, and data-driven decision-making.We foster close collaboration among various data roles, creating an enjoyable working environment.Regular Tech Weekly sessions are held to share expertise, allowing you to engage with and learn from other roles as per your interest. Your Responsibilities Will Include:Designing clear and reliable table structures that can be easily understood and utilized, encompassing architecture design, compliance with standards, data processing logic management, data integrity validation, DQ monitoring, security reviews, and documentation using meta management systems.Collaborating with data users to design data marts and establish pipelines for key business performance analysis.Setting the groundwork for effective data asset utilization through data cataloging and standard management.Proactively addressing essential data processing tasks in a rapidly growing service environment with your colleagues.Enhancing system efficiency by effectively refactoring and optimizing various existing mart tables through data modeling that considers consistency, reusability, and scalability.Designing data marts and constructing pipelines for external/public reporting requirements. We Are Looking For Someone Who:Has a deep understanding of the securities domain or has actively engaged in stock trading.Can clearly define key concepts of the securities domain as a DW data modeler and take the lead in designing easy-to-understand data structures.Has experience simplifying complex data models or automating repetitive issues.Can propose efficient data processing methods while adhering to data standards through smooth communication with various stakeholders.Has experience structuring enterprise tables through defining data standards and building data catalogs.Is capable of independently conducting data warehouse/mart modeling, pipeline construction, and operational tasks.Can present standards from a clear data structure and efficient utilization perspective, rather than just processing simple requests.Is proficient in SQL and can write organized queries considering readability and efficiency.Has experience developing data pipelines based on Hadoop, Airflow, and DBT.May need to have intermediate to advanced skills in PySpark, depending on the situation.Would benefit from having experience with BI tools such as Tableau. Resume Tips:Detail impactful projects you have worked on.If you have improved services, quantify the results (omit sensitive external information).Elaborate on your work related to data governance.Include business analysis or reporting experience.

About the Team You'll Join The Data Analytics Engineer at Toss Securities is part of the Data Warehouse Team within the Data Division. Your responsibilities will be focused on Data Platform and Data Mart tasks. While your primary focus will vary, you will also engage in cross-functional projects. The Platform tasks involve maintaining and optimizing ETL/Pipeline Tools to effectively manage the DW Mart tables. You will explore and implement new methods to reduce DW operation time with limited resources. Our goal is to maximize data utilization across the organization using tables managed by the DW team. The current team consists of approximately 7 members with varying experience levels ranging from 2 to 14 years, coming from diverse backgrounds including portals, banking, gaming, and startups. Curious about the Data Division? The Data Division at Toss Securities aims to become the world's leading securities firm in data handling, contributing through data technology, services, and data-driven decision-making. We foster close collaboration among various data professionals and enjoy our work. Regular Tech Weekly sessions allow us to share expertise, and you can freely engage with different teams to learn from each other. Your Responsibilities Experience and contribute to an efficient DW environment within a rapidly growing agile organization. Design data marts and develop and automate DW Data Workflows based on the Hadoop Ecosystem and open-source solutions. Identify and implement methods for structuring and automating numerous DW/Mart tables. Process large volumes of data swiftly and effectively to create and manage various features. Establish Data Quality Checks and Governance within the data marts. Experience in deriving and establishing system requirements for large data processing and analysis is a plus. Ideal Candidate At least 5 years of experience as a Data Engineer is essential. You should possess a fundamental understanding of RDBMS, Hadoop Ecosystem, and Data Warehousing. Proven experience in leading the design, construction, and operation of data marts is required. You should be capable of installing, operating, and troubleshooting Airflow, DBT, and Django, with the ability to modify open-source tools to develop features needed for securities DW. Experience in simplifying complex problems or automating repetitive tasks using data models is critical. Extensive experience in efficiently processing big data using Spark is highly desirable. Intermediate proficiency in Python and advanced skills in SQL are required. Resume Tips If you have resolved critical issues while operating platforms or optimized performance and system resource usage, please include those experiences. Be specific about impactful projects you have worked on. If you have addressed bugs or issues while using open-source tools, or developed or enhanced features, please detail those experiences. Highlight the results of any improvements made in actual services, quantified if possible (please exclude sensitive information if necessary). Join Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation >...

Join RWS as an AI Data Specialist in vibrant Seoul, South Korea. In this pivotal role, you will be responsible for managing and curating high-quality datasets to support our innovative AI projects. Your expertise will directly contribute to enhancing our AI capabilities and driving impactful solutions.

Who We AreAt Twelve Labs, we are on a mission to redefine the global standards for video understanding AI! We are creating world-class AI models tailored for video data, providing specialized search, analysis, summarization, and insight generation capabilities.Our models are utilized by the largest sports leagues worldwide to swiftly and accurately highlight key moments in vast game footage, delivering an ultra-personalized viewing experience. In South Korea, our technology assists integrated command centers in efficiently navigating CCTV footage to respond to crises, while major global broadcasters and studios leverage our models for content creation aimed at billions of viewers.As a Deep Tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the world's top 100 AI startups by CB Insights for four consecutive years. We have secured over $110 million in investments from leading VCs and companies including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is exclusively offered through Amazon Bedrock. We thrive on building innovative products alongside exceptional colleagues and growing with clients worldwide.Our core values are foundational to our work:Honesty and reflection about ourselves and our teamsPerseverance and humility in the face of failure and feedbackA commitment to continuously elevate team capabilities through ongoing learningIf you enjoy tackling challenging problems and growing through the process, the opportunity awaits you at Twelve Labs!About the TeamThe ML Data Team at Twelve Labs believes that 'data determines the performance of AI models.' We construct high-quality data end-to-end necessary for training and evaluating multimodal AI models. Our team is responsible for collecting, filtering, processing, and labeling diverse multimodal data such as video, image, and audio. We collaborate with various teams to design training data that can unleash new model capabilities, while also developing evaluation datasets that reflect real user experiences. To perform all these processes efficiently, we develop and continuously improve internal tools.Through a meticulously designed data pipeline, the ML Data Team plays a crucial role in developing Twelve Labs' world-class video understanding models.About the RoleAs the Engineering Manager for the ML Data Team, you will be a pivotal leader in building and guiding a high-performing team, while also developing the large-scale data infrastructure necessary for AI model training. This position encompasses team operations, technical architecture design, engineering recruitment and mentoring, and enhancing project execution, all aimed at fostering a high-quality data ecosystem that supports Twelve Labs' products and research.In this Role, You WillTeam Building and Technical Culture Development Lead the ML data engineering team by defining and executing the team's mission and technical strategy. Establish and execute recruitment plans to attract top talent, while fostering a high-level engineering culture through code reviews and technical mentoring.Design and Operate Multimodal ML Data Engine Design and operate pipelines for collecting, refining, and labeling petabyte-scale video, image, and audio data for AI model training. Additionally, build an automated dataset generation system for VLM/LLM training and a high-precision preprocessing engine.Design and Operate Multimodal ML Data Infrastructure Create and manage scalable data infrastructure capable of reliably processing large-scale data.Establish and Execute Data Strategy Collaborate closely with PM, research, infrastructure, product, and other organizations to establish and prioritize a data strategy aligned with the company's vision.

Coupang is revolutionizing the e-commerce landscape, creating a seamless shopping experience that delights customers from the moment they open the Coupang app until their order arrives at their doorstep. Our robust end-to-end retail and logistics network, combined with our unwavering commitment to customer satisfaction, allows us to eliminate the traditional trade-offs between speed, selection, and price. We aim to make every customer feel as though they can't imagine life without Coupang.Join our Inbound Supply Chain Management System (SCMS) team, where we tackle complex challenges using cutting-edge technology.Determining the optimal product purchases from vendorsCalculating the ideal quantity of each product to acquireStrategizing inventory placement for the fastest delivery to customersOptimizing inventory levels at our fulfillment centers for cost efficiencyWe are looking for a Data Scientist with a strong command of various machine learning techniques. Your role will encompass developing, prototyping, and deploying innovative models across supervised, unsupervised, and reinforcement learning paradigms. We highly value innovative thinkers who can leverage generative AI to craft and implement groundbreaking solutions to unprecedented challenges.Key Responsibilities:Exhibit deep technical expertise in feature engineering of large datasets, conducting effective exploratory data analyses, and constructing models utilizing industry-standard AI/ML frameworks, including large language models.Demonstrate proficiency in both supervised techniques (e.g., Linear/Logistic Regression) and unsupervised algorithms (e.g., K-means clustering).Translate complex data into actionable business insights and marketing strategies.Collaborate with various internal stakeholders, including business and engineering teams, to align objectives with your area of concentration.Innovate by adopting novel modeling techniques and methodologies.Passionate about working with extensive datasets and skilled in merging data to address business queries.Expertise in developing and managing scalable data flow solutions that integrate seamlessly from production systems to end-user applications, ensuring robustness and adaptability.Utilize distributed machine learning and statistical algorithms to manage large volumes of data efficiently, enhancing customer service.

Join Our Team!The Realtime Data Engineer will be part of the Realtime Data Team within our Data Division.This team operates a distributed messaging streaming platform, ensuring the stable transmission of large-scale financial transactions.We manage high-volume data pipelines that deliver data with zero latency while maintaining integrity.Moreover, we integrate real-time data into OLAP environments, enabling immediate business decision-making and service enhancement. Your Responsibilities:Operate and optimize our Kafka cluster to ensure high availability of large-scale data from Toss Securities.Utilize tools like CDC, Kafka Connect, Flink, and ksqlDB to construct real-time data pipelines.Manage OLAP to efficiently store and query large volumes of incoming real-time data, optimizing query performance.Enhance architecture for greater throughput and lower latency, proactively assessing and implementing next-gen technologies for reliable data services. Ideal Candidate:Experience managing large-scale data platforms, ensuring infrastructure stability and performance.Proven experience designing and operating Kafka-based architectures or a deep understanding of distributed messaging systems.Intermediate to advanced proficiency in Java (or Kotlin), capable of implementing complex business logic in real-time streaming frameworks (Flink, ksqlDB).Experience building or operating real-time analytics environments using OLAP systems like ClickHouse, StarRocks, Druid, or Pinot.A broad experience in Data Engineering or depth in a specific area, eager to expand your role.Strong foundation in Data Engineering skills, quick to learn new tech stacks, and adept at finding optimal solutions in diverse situations.Excellent communication skills to collaboratively tackle complex problems with the team. Joining Toss Securities:Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding Please Note:Any inaccuracies found in the resume or disciplinary issues during employment history may lead to cancellation of the application.Candidates who are prohibited from hiring or have disqualifying reasons according to Toss Securities' regulations may have their applications canceled.Individuals with disabilities or national veterans are given preferential treatment in accordance with relevant laws. A Note for Future Colleagues:Processing transaction data generated in the securities domain in real-time is of high importance from a business perspective and poses significant technical challenges.The Toss Securities Realtime Data Team is at the forefront of this effort, currently maintaining stable securities services.Toss Securities continues to grow. We hope that the entire process of maintaining the systems of a growing securities firm will be an enjoyable journey.