Trading Analytics Developer, Quantitative Trading
Core
Design, build, and operate high-throughput data pipelines and a unified analytics engine for processing large-scale financial data, time-series metrics, and trading activity.
Role type
Senior IC quantitative trading analytics developer
Builds
High-throughput batch and streaming data pipelines, unified analytics engine, internal AI platforms, and production agent systems
Domain
Quantitative trading, financial technology, cryptocurrency markets
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python, Java, Apache Kafka, Apache Flink, Apache Spark, ClickHouse, MongoDB, BigQuery, Snowflake, Linux, AWS, Kubernetes, CI/CD, Advanced SQL, Airflow, Jenkins, AMPS, LangGraph, A2A, MCP, RAG pipelines, LLMOps
Preferred skills
Quantitative finance, financial technology, cryptocurrency markets, DeFi, market data, REST APIs, Websockets
Technologies
Kafka, Flink, Spark, ClickHouse, MongoDB, BigQuery, Snowflake, LangGraph, A2A, MCP, Airflow, Jenkins, AMPS
Responsibilities
Design and operate internal AI platforms serving multiple trading teams; Implement trading analytics metrics including PnL, risk, balance, and trade reconciliation; Build reusable RAG pipelines and production agent systems; Develop analytical data models for time-series data and financial metrics.
Seniority
Senior, hands-on IC