Trading Analytics Developer, Quantitative Trading
Core
Build robust, scalable data and AI infrastructure for quantitative trading, bridging high-performance trading systems with modern AI capabilities.
Role type
Senior IC Trading Analytics Developer (Quantitative Trading)
Builds
High-throughput batch/streaming data pipelines, unified analytics engines, and internal AI platforms serving trading teams
Domain
Quantitative Finance / Financial Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, Linux, AWS, Kubernetes, Kafka, Apache Flink, Apache Spark, SQL, CI/CD, System Design, Time-series data, RAG pipelines, AI agent frameworks (LangGraph, A2A, MCP), LLMOps
Preferred skills
Quantitative finance, Cryptocurrency/DeFi, Market data APIs (REST/WebSocket), TradingView, Grafana
Technologies
Kafka, Flink, Spark, ClickHouse, MongoDB, BigQuery, Snowflake, Airflow, Jenkins, LangGraph, A2A, MCP, Grafana, TradingView
Responsibilities
Design and operate high-throughput data pipelines; Build unified analytics engines for large-scale data; Develop analytical data models for time-series and financial metrics; Implement and manage analytical databases; Build and maintain internal AI platforms and agent systems; Create monitoring for data quality and pipeline reliability
Seniority
Senior, hands-on IC