About this role
ML Engineer (Quant) at Toss. Location: Seoul, Seoul, Korea. Role: validating data, building models, orchestrating agents Requirements: Experience building quantitative financial models and data pipelines, strong knowledge of portfolio theory, risk modeling, time-series/financial econometrics, data collection/cleaning/modeling, and applying AI/ML to investment problems. Category: Data and Analytics Seniority: Mid Level Tools: Hadoop, K8S, Kubernetes, LLM, Java, Python, ETL, Kafka Commitment: Full Time Workplace: Onsite Languages: Korean