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
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