Trading Analytics Developer, Quantitative Trading
Core
Design, build, and operate high-throughput data pipelines and AI platforms for a crypto quant trading team, bridging high-performance trading systems with modern AI capabilities.
Role type
Senior IC Trading Analytics Developer (Data & AI Platform Engineering)
Builds
Scalable data pipelines, unified analytics engines, and internal AI platforms serving trading teams
Domain
Cryptocurrency trading, quantitative finance, AI infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, Linux, AWS, Kubernetes, Kafka, Flink, Apache Spark, SQL, CI/CD, time-series data modeling, RAG pipelines, AI agent frameworks (LangGraph, A2A, MCP), LLMOps
Preferred skills
Quantitative finance, cryptocurrency markets, DeFi, market data APIs (REST/WebSocket), financial metrics design (PnL, risk, reconciliation)
Technologies
Kafka, Flink, Apache Spark, ClickHouse, MongoDB, BigQuery, Snowflake, Airflow, Jenkins, Grafana, TradingView, LangGraph, A2A, MCP
Responsibilities
Design and build high-throughput batch and streaming data pipelines; Develop and optimize analytical data models for time-series and financial metrics; Build reusable AI tooling including standardized RAG pipelines and agent systems; Create comprehensive monitoring for data quality and pipeline reliability; Implement idempotent data pipelines with backfill and reconciliation capabilities; Design and operate internal AI platforms serving multiple trading teams
Seniority
Senior, hands-on IC