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Build and run an AIOps platform that uses AI to predict and auto-respond to infrastructure failures, integrating metrics, logs, traces, and LLM APIs with open-source detection engines.
Review KYC documents for new and existing customers to ensure AML compliance and financial transparency using data extraction skills.
Analyst at Toss Securities researches and translates macroeconomics, stocks, bonds, commodities, and industry trends into accessible investment content for retail investors.
Build and ship Android apps for Toss’s fintech products like payments, banking, and cards using Kotlin, RxJava, and Jetpack Compose.
Develops Android apps for offline payment devices and merchant apps, working in a matrix structure to build and deploy features weekly using Kotlin, Jetpack Compose, and TDS.
A Business Analyst who enables B2B teams (payments, ads, shopping, new ventures) to self-serve data and AI tools, designing data pipelines, building AI agents, and driving revenue ops for sales/marketing teams via SQL-driven insights.
Support teams by organizing financial data, drafting documents, and handling operational tasks using office tools in a fintech company.
Build and maintain Toss Income’s data marts and semantic layer using dbt and Snowflake, ensuring consistent metrics and high-quality data for analytics and AI agents.
Designs and builds enterprise-wide feature pipelines (ML inputs, search indexes, APIs) for Toss, ensuring data lineage, quality, and lifecycle management while standardizing feature metadata and governance processes.
Builds and operates financial-data products for Toss Core, designing scalable DW models and BI strategies to unify revenue, cost, asset, and liability data across the org.
Designs and maintains data models for Toss’s commerce, ads, payments, growth, and business domains, ensuring reliable, standardized data for analytics and product development using SQL, Python, and Hadoop.
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
Build and optimize real-time data pipelines for Toss Securities, using Kafka, Flink, and OLAP systems to process high-volume financial transactions instantly.
Leads end-to-end AI/ML product development at a fintech bank, defining user-facing features, collaborating with data scientists and engineers, and driving business impact through experiments and metrics.
Develops and optimizes Android-based payment terminal software, collaborating with hardware/firmware teams to resolve system-level issues (framework, HAL, native layers) and ensure real-world device stability from development to post-production.
Designs and executes QA tests for Android-based payment terminals, focusing on hardware-software integration, test automation, and field issue analysis to ensure release quality and improve testing processes.
Build and maintain Kubernetes-based cloud-native infrastructure at a leading Korean fintech company, automating deployments and improving developer experience.
Build and refine CI/CD pipelines and Kubernetes-based infrastructure for Toss Securities, focusing on developer experience and robust monitoring to enable rapid, safe deployments.
Build and maintain Kubernetes-based cloud-native platforms to enable fast, safe deployments and resilient operations for Toss’s offline payment ecosystem.
Build and maintain cloud-native infrastructure on AWS EKS to enable fast, secure deployments for insurance products using Kubernetes, Terraform, and observability tools.
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