Trading Analytics Developer, Quantitative Trading

In this role, you will bridge high-performance trading systems with modern AI capabilities to advance data analytics and AI workflows for the Quant Trading team. You will design scalable data platforms and AI tooling that support crypto trading, risk management, and actionable insights. You will work across data engineering and AI platform domains to enable reliable, efficient, and auditable analytics and trading solutions. This opportunity offers hands-on impact in a fast-paced, growth-driven crypto environment with cross-functional collaboration.

• Competitive salary
• Medical insurance package with dependents coverage
• Flexible annual leave including birthday and work anniversary
• Hybrid or remote setup with flexible hours
• Internal mobility and career development
• Crypto.com Visa card provided upon joining

• Design, build, and operate high-throughput batch and streaming data pipelines using Kafka, Flink, and ETL tools
• Develop a unified analytics engine with Apache Spark and related technologies for large-scale data
• Model and optimize analytics for time-series, financial metrics, and trading activity
• Manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake or similar) with cost-aware architecture
• Build idempotent pipelines with backfill and reconciliation capabilities and monitor data quality
• Design, build, and operate internal AI platforms serving multiple trading teams
• Create reusable AI tooling including RAG pipelines, prompt management, and self-service workflows
• Develop and maintain agent systems using LangGraph, A2A, MCP with emphasis on controllability and auditability

• 5+ years of production Python and Java experience in high-performance environments
• Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, performance optimization
• Proficiency with Linux, GitHub, and modern CI/CD practices
• Experience with AWS and Kubernetes
• Experience handling large-scale, complex financial/trading datasets
• Advanced SQL with window functions and real-time data synchronization; database design and infrastructure support
• Experience with data workflow/orchestration (Airflow, Jenkins, AMPS, etc.)
• Metric design for trading analytics (PnL, risk, balance, reconciliation, backfill, performance tuning)
• Time-series visualization with Grafana, TradingView, and BI tools
• Kafka, Flink, and production event processing

• excellent problem-solving under pressure
• strong cross-team communication
• proactive system reliability and performance optimization
• Python
• Java
• Linux