Platform Product Owner at Toss Insurance | Seoul

About Toss Insurance Toss Insurance was founded to reshape the insurance sector within the financial ecosystem. The team is building a platform that helps insurance consultants use their expertise and engage more deeply, so they can address customer needs more effectively. This work aims to transform how people experience insurance consultation, contracts, a…

#LI-DNI Join Our Dynamic Security Team! As a Security Engineer at Tosscareers, you will be part of the Information & Security Tribe, handling technical operations within the Security Purple Team and Security Green Team. The Security Purple Team is a hybrid of Red and Blue teams, focusing on event analysis, incident response, vulnerability assessments, penetration testing, and scenario-based threat modeling. We prioritize customer safety and collaborate closely with all teams to enhance Toss's security measures. Your Responsibilities Will Include: Designing, building, and operating SIEM (Splunk, Opensearch, Elasticsearch). Creating robust architectures for secure log collection across various environments (On-Prem, AWS, K8S). Ensuring stable operation and enhancement of log pipelines (NIFI, KAFKA, Hadoop). Establishing and managing logging/monitoring systems for performance optimization and incident response of the Security Data Platform (SIEM). Designing and normalizing standard models for various logs to improve log analysis efficiency. We Are Looking For Candidates Who: Have experience in designing and building scalable and optimized SIEM systems. Can identify and resolve issues in log collection, data loading, search, and query building processes. Have worked with heterogeneous security log pipelines in On-Prem and AWS environments (ETL, ELT). Have standardized various forms of security logs (OCSF, CIM, etc.) for easier analysis. Have automated tasks using Python scripting. Resume Tips: Detail specific examples of your work, particularly your roles in projects, the technologies used, and improvements made before and after. Explain any challenges faced during problem-solving and how you addressed them. If you have diverse problem-solving experiences (technical, managerial), provide concrete examples. Include specific cases where you applied learned technical skills to your work.

Company OverviewCoupang Pay, a spin-off from Coupang, is dedicated to meeting the growing demands of Coupang customers by providing seamless payment and financial services. Our focus is on delivering innovative payment and financial service solutions to all users of the Coupang platform, including customers purchasing from Coupang and Coupang Eats, sellers utilizing Coupang's open market, and partners of Coupang Eats. We have developed a one-touch payment service to enhance user experience and launched a deferred payment service to facilitate easier transactions for our customers.At Coupang Pay, our team members are rich in fintech experience, pioneering new opportunities at the intersection of finance and technology.We embrace core principles to guide our work:Wow the Customer: We hold customer trust sacred and prioritize their experience value.Dive Deep: No issue is too small; we focus on problem-solving and scrutinizing issues closely.Move with Urgency: We find answers through execution and avoid postponing decisions.Are you looking for a dynamic work environment where you can take initiative and grow? Join us on our journey at Coupang Pay!

Join Our Team! As a Site Reliability Engineer in the Tech Platform Tribe, you will work as a Server Developer. You'll build and operate effective monitoring systems to proactively detect and rapidly respond to issues. Your role will involve establishing performance testing environments to support service growth and addressing any challenges that arise, while designing solutions to prevent recurrence. Your Responsibilities: Continuously enhance the stability, scalability, availability, and latency of our systems. Improve monitoring systems to facilitate rapid root cause analysis in high-traffic environments. Resolve issues during outages and develop designs and solutions to prevent future occurrences. Establish and conduct performance testing environments to identify improvement points. Identify and improve single points of failure in network, application, open-source, and Kubernetes systems. Experiment with and evaluate various open-source products for potential implementation. We Are Looking For: Experience in Java/Kotlin and Spring Framework development, coupled with strong problem-solving skills. Ability to verify system availability through performance testing and resolve bottlenecks. Deep understanding of Linux and network systems. Experience operating infrastructure based on MSA, Kubernetes, Istio, Redis, Kafka, and ELK. A proactive approach to operating mission-critical services with a strong sense of responsibility. A willingness to embrace change and quickly adapt to new technologies while seeking continuous growth. Resume Submission Tips: Highlight impactful experiences and learning points rather than just listing past roles. Share instances where you proactively identified and resolved issues to enhance service stability. Discuss experiences where you significantly improved operational systems or introduced innovations that enhanced productivity and efficiency. Provide examples of deep analytical work to identify and resolve root causes of issues. Consider how you have designed systems to emphasize efficiency in environments with high or fluctuating traffic.

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 Will Do Develop and implement data governance frameworks and policies Collaborate with cross-functional teams to align on data management standards Support compliance efforts by ensuring data practices meet regulatory guidelines Promote a culture of accountability and transparency in data handling Contribute to the ongoing development of Toss’s data strategy

Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.

Join Our Team The Data Quality Specialist at Toss Securities will be part of the Data Analysis Team, working closely with Data Analysts. The Data Analysis Team plays a crucial role in driving product and business decisions based on data insights. Key Responsibilities Manage the quality of client logs (web, iOS, Android), which serve as the primary material for data analysis. Design logs for assigned services in alignment with Data Analysts’ analysis plans and communicate clearly to engineers. Write and verify test cases to ensure logs are captured as specified. Quickly identify defects in client logs, raise issues, and drive resolutions. Occasionally conduct data analysis to understand the user perspective of logs. We Are Looking For Experience with SQL is required. Strong communication skills to engage actively with team members across various functions. A proactive approach to achieving results beyond assigned tasks and situations. Experience working in an IT organization is preferred. Experience defining or handling user client logs is advantageous. Understanding of basic service metrics such as AARRR, CTR, CVR, PV, UV is a plus. The Journey to Join Toss Securities Application submission > Pre-query test > Job interview > Cultural fit interview > Final acceptance. Resume Tips If you have experience collecting, processing, or analyzing raw-level data, please specify. Highlight any experiences where you aimed to deliver results beyond assigned duties. Important Notes This position is for a contract role, with a duration of one year. Any false statements in the resume or disciplinary actions in work history may lead to termination of the hiring process. Applicants with restrictions according to Toss Securities’ policies may be disqualified.

About the Team You Will Join- As a Data Operations Specialist at Toss Bank, you will be a part of the Corporate Initiatives Team within the Strategy Tribe under the Strategy Division.- The Corporate Initiatives Team is responsible for deriving insights for corporate-level decision-making and identifying innovative initiatives, playing a key role in corporate planning.- You will collaborate with various teams to enable data-driven decision-making within the organization, interpreting Toss Bank's current state and shaping its future.Your Responsibilities- Collaborate with Business Data Analysts and Corporate Strategy Managers to support data analysis tasks within the tribe.- Extract data necessary for management decision-making as per team requests.- Maintain and update internal Tableau dashboards, incorporating feedback and requests.Ideal Candidate- Must have the ability to write basic SQL queries.- Experience with Tableau dashboards and creating/operating Airflow DAGs is required.- Strong collaboration skills to communicate effectively with team members.Resume Submission Recommendations- We expect your resume to include significant examples that align with the qualities we desire in a candidate rather than just listing experiences.- Please clearly state your personal details and activities (education, extracurricular activities, internships) with specific timings and content.The Journey to Joining Toss Bank- Application submission > Job interview > Cultural fit interview > Final acceptance and onboarding.Please Note- This is a contract position with a duration of 1 year.- If any false information is found in your resume or disciplinary issues are confirmed during your work history, the hiring will be canceled.- Candidates who fall under the disqualification criteria according to Article 8 of Toss Bank's employment regulations may have their application canceled.- Individuals with disabilities and those eligible for national veterans' benefits will be given preference according to relevant laws.

# 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.

Join Toss Insights! Toss Insights serves as the financial management research institute of Toss, acting as a think tank that formulates growth strategies through policy analysis and trend research to enhance understanding of finance and economics. Be a founding member of Korea's first fintech research institute, where you can set new benchmarks in the financial market and lead the industry. Toss possesses a vast array of reliable financial data, including MyData, payment, and app usage statistics, which can be utilized for research purposes within legal boundaries. We cultivate an organizational culture based on “autonomy and responsibility,” allowing for a more innovative research environment in the finance sector. Your Responsibilities: Process and analyze diverse data generated by financial institutions, including: MyData: Dispersed asset information such as account and card details. Customer behavior data (NLP): Analyzing digital log data (MAU, retention, etc.) to understand customer behavior patterns. Financial product usage data: Insights into customer interactions with loans, insurance, deposits, etc. Visualize structured and unstructured data to develop recommendation and personalization models. Generate insights based on banking data analysis and compile research reports. Analyze patterns and trends in financial data to support strategic decision-making within the Toss community. We Are Looking For Candidates Who: Possess problem-solving skills utilizing data analysis and machine learning. Are proficient in data analysis tools such as Python, R, and SQL. Have experience in processing and analyzing financial data or large-scale datasets. Hold a Master's or PhD degree in Industrial Engineering, Financial Engineering, or related fields with relevant experience. Have a background in Financial Engineering, Business Administration, Economics, or related disciplines. Please Ensure the Submission of the Following Documents: Resume (free format, no language restrictions) Submit in any format, either in Korean or English. Include your academic background, work experience, date of birth, and contact information. Attach a list of major research achievements, including research reports. Cover Letter Detail your research and practical experiences related to the field. Steps to Join Toss Insights: Document submission → Job interview → Cultural fit interview → Reference check → Salary negotiation → Final acceptance Document submission period: 2/13 (Thursday) ~ 2/26 (Wednesday)

About the Team The Sales Platform Team at Toss focuses on developing the technology that supports Toss’s B2B business. The team works to create and maintain systems that help drive business growth. Role Overview The Sales Systems Engineer will work hands-on with sales-related platforms, including Salesforce. This position plays a key part in shaping the tools that support sales operations and data management. Main Responsibilities Work directly with sales systems, such as Salesforce, to support business goals Partner with Business Analysts to design and build data infrastructure for extracting business insights Manage and maintain sales data for the company Location This role is based in Seoul.

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.

Join our dynamic team as a Data Analyst specializing in e-commerce, where you'll play a crucial role in transforming data into actionable insights. Your expertise will help drive data-informed decisions that enhance our business strategies and improve customer experiences.

Join Our Dynamic Team As a Data Analyst at Toss Securities, you will be part of our data analytics team. Our Data Analytics (DA) team comprises two main segments: the enterprise analytics unit and the product analytics unit, where you will be contributing to product analysis. Our team is diverse, with members hailing from finance, gaming, e-commerce, O2O, and portal backgrounds, bringing a wealth of experience. Your Responsibilities Support data-driven decision-making for our product development teams. Quantify team goals and identify key levers to achieve them, providing direction for prioritization. Contribute to product enhancements through A/B test design and result analysis, leveraging various analytical methodologies for insights. Ideal Candidate Profile Proficient in SQL for data extraction and cleansing. High-level understanding of mobile service data analysis methods (Customer Lifetime Value, Retention, Cohort Analysis, etc.). Experience in setting hypotheses and conducting experiments to improve services. Demonstrated ability to design A/B tests and derive meaningful results. Familiarity with data visualization tools (such as Tableau) is a plus. No strict experience level is required; we value insights gained from diverse experiences. Resume Recommendations Detail impactful projects from your experience. Clearly outline the problem definition, hypothesis setting, experimental design, and result validation processes. Share experiences where you deepened user understanding through data analysis and proposed actionable strategies. Confirm proficiency in mobile service data analysis methods (LTV, AARRR, Cohort, Funnel, etc.). If objectives were met, quantify improvements in metrics like churn rate, conversion rate, and revenue. (Please omit sensitive information if necessary.)

#LI-DNIAbout the Team You Will JoinThe Data Engineers at Toss are part of the Data Platform team.The Data Platform team operates and supports the data and related platforms needed across all Toss services.This team consists of members with 2 to 18 years of experience, bringing diverse backgrounds from portals, banking, gaming, and startups.In our team, you are encouraged to explore various roles depending on your interests and willingness, fostering a collaborative atmosphere where knowledge and expertise are freely shared.Your ResponsibilitiesDevelop and manage stable and efficient data pipelines (ingestion, storage, streaming).Contribute to Toss services by processing large-scale data in real-time.Develop and maintain tools for a stable and efficient data experimentation/analysis environment for your colleagues.Create various data service applications for data analysis and platform operations.Ideal Candidate ProfileYou have experience in developing data pipelines for large-scale data processing (collection/processing/analysis).You are experienced with large distributed systems (Hadoop, HBase, Kafka, Spark, Flink, etc.).You possess software development skills for building data applications (Java, Scala, Python, etc.).You have intermediate or advanced programming capabilities (web/client/server programming).Experience in developing recommendation/advertising/machine learning-related services is a plus.Please Highlight the Following in Your ResumeDetail the challenges you have faced, the technologies you used, and how you solved problems rather than just listing programming languages or frameworks.Experience with platforms similar to Toss is beneficial, but we focus more on your growth potential and problem-solving abilities, so please share relevant examples.If you've resolved critical issues while operating a platform or optimized performance and system resource usage, please include that experience.Experience resolving bugs or issues in open-source software or developing missing features is also valuable.Your Journey to Joining TossApplication submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance

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.

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 dynamic team as a Data Analyst focusing on Search Relevance at Toss! In this role, you'll be responsible for analyzing user behavior and search patterns to enhance our platform's search capabilities. You'll work closely with engineering and product teams to drive improvements and optimize user experiences. If you are passionate about data and want to make a tangible impact, we’d love to meet you!

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.

Join our dynamic team at daangn as a Data Analyst Intern focusing on Cross Product Growth. This is an exciting opportunity for individuals eager to dive into data analysis and contribute to innovative projects. You will work closely with experienced analysts to derive insights from data, helping to shape our product strategies and improve user experience.