Trading Analytics Developer, Quantitative Trading

Overview In this role you will bridge data analytics and AI platform engineering to support high-performance trading workflows. You will design scalable data pipelines and analytics engines, while building internal AI tooling for multiple trading teams. You will work to ensure reliability, speed, and actionable insights across data and AI workloads, contributing to Crypto.com’s mission of expanding access to cryptocurrency. This is a hands-on, cross-disciplinary position with a strong impact on trading analytics and AI platform capabilities. Compensation / Benefitscompetitive salaryflexible hours and hybrid setup 401(k) with employer matchhealth, dental, vision, and life/disability insuranceannual leave entitlementinternal mobility program Responsibilities Design, build and operate high-throughput batch and streaming data pipelines using Kafka and Flink; develop unified analytics engine with Spark Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (Click House, MongoDB, Big Query, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with backfill and reconciliation capabilities; create monitoring for data quality and pipeline reliability Design, build and operate internal AI platforms serving multiple trading teams; build reusable AI tooling including RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using frameworks like Lang Graph, A2A, MCP with controllability and auditability Key requirements 5+ years of production experience with Python and Java in high-performance environments Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, performance optimization Expertise in Linux, Git Hub, and CI/CD practices Proven experience with AWS and Kubernetes Comfort working with large-scale, complex datasets in financial/trading contexts Advanced SQL with window functions and query optimization Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS)Metric design for trading analytics (PnL, risk, balance, reconciliation, backfill)Time-series data visualization (Grafana, Trading View, BI tools)Kafka, Flink, and production-grade event processing Excellent problem-solving under pressure Strong cross-team communication Proactive in reliability and performance optimization Python Java Linux