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Toss

Fintech super-app for payments and banking

Data Engineer – Financial Data/Advisory

Data EngineeringConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of practical data engineering experience.
  • Ability to collect and process data using Python and SQL.
  • Experience designing and implementing data collection systems based on external APIs and file integrations.
  • Experience developing and operating batch pipelines such as Airflow.
  • Experience processing data in RDBMS and distributed data environments such as Iceberg, Spark, ClickHouse, and Kafka.
  • Experience tracing data consistency and quality issues to root causes by considering data structures and domain context, rather than only correcting errors.

Responsibilities

  • Build pipelines to receive, validate, and load portfolio data from partners such as asset managers and advisory firms, and handle operations including incident response, backfills, and monitoring.
  • Develop pipelines that calculate investment performance for customer account portfolios, including returns, risk, and benchmark-relative performance, and verify the accuracy of the results.
  • Analyze Toss Securities customer trading, holdings, and information-search behavior data to create feature data for customer segmentation and personalized investment strategy recommendations, combining MyData and securities-related financial data to analyze customers' assets.
  • Build a data-serving structure connecting customer consumption of advisory content, such as asset-manager brand pages and reports, to recommendation systems, enabling investment strategy recommendations based on content consumption patterns and data support for portfolio enrollment.
  • Map partner-specific security identifiers, including ticker symbols and ISINs, to internal standard identifiers, and manage data in response to events such as ticker changes, delistings, and corporate actions.
  • Build a data quality framework to validate consistency, completeness, and timeliness between source and processed data, establishing the level of data reliability required in the regulated investment advisory and discretionary management environment.
  • Work with product owners, designers, server and AI engineers, and data analysts across the full data stream, from strategy data collection and performance validation to personalized recommendations.

Desired Qualifications

  • Experience handling or implementing calculation logic for asset management, fund, or advisory data such as net asset values, portfolios, performance, and risk metrics.
  • Experience designing data pipelines for machine learning serving, such as recommendation systems or feature stores.
  • Experience comparing or integrating data from multiple vendors or partners, or designing such data for use in financial services.
  • Experience developing services in Kotlin, Java, or other JVM languages.
  • Experience deploying and operating services in a Kubernetes environment.
  • Experience applying LLM or other AI technology in production pipelines to structure unstructured data.
  • Experience integrating AI development tools such as Claude Code or Cursor into development and operations workflows.
  • Financial data processing experience.

About the Company

Toss

Fintech super-app for payments and banking

Toss is a South Korean financial services platform that started as a peer-to-peer money transfer service and has grown into a digital 'super app' for personal finance. Its products are accessed through one mobile interface that unifies bank accounts, credit cards, loans, investments, and other financial services, including its own Toss Bank and Toss Securities. It differentiates itself by offering a broad, integrated ecosystem—combining digital banking, asset management, and brokerage services under one roof and running its own banking and securities units. Its goal is to become the leading consumer finance platform in South Korea while expanding its user base globally.

Company size
1,001-5,000
Company stage
Series G
Total funding
$1.5B
Headquarters
Seoul, South Korea
Founded
2011

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