Trading Analytics Developer, Quantitative Trading

Crypto.com • Los Angeles, NY

2d • Hybrid

About The Position

We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains.

Requirements

• 5+ years production experience with both Python and Java in high-performance environments.
• Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization.
• Expertise in Linux, Github, and modern CI/CD practices.
• Proven experience with AWS cloud services and Kubernetes orchestration.
• Comfort working with large-scale, complex datasets in financial/trading contexts.
• Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support.
• Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.).
• Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning).
• Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc.
• Kafka, Flink, and event processing in production environments.
• Retrieval system evaluation methodologies and quality frameworks.
• RAG pipeline architecture and optimization techniques.
• LLMOps practices including model lifecycle and prompt management.
• Experience with AI agent frameworks in production settings like A2A and MCP.

Nice To Haves

• Financial/Trading Domain: Experience in trading systems, quantitative finance, or financial technology.
• Understanding of market data, data subscription using Rest API / Web Socket.
• Knowledge of cryptocurrency markets, defi and related technologies.
• Excellent problem-solving skills with ability to perform under pressure.
• Strong communication skills for cross-team collaboration.
• Proactive approach to system reliability and performance optimization.
• Continuous learning mindset in rapidly evolving AI/ML landscape.
• Balance of practical engineering rigor with innovative solution development.

Responsibilities

• Data Platform & Analytics: Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies.
• Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools.
• Develop and optimize analytical data models for time-series, financial metrics, and trading activity.
• Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture.
• Build idempotent data pipelines with robust backfill and reconciliation capabilities.
• Create comprehensive monitoring for data quality, freshness, and pipeline reliability.
• AI Platform Development: Design, build, and operate internal AI platforms serving multiple trading teams.
• Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows.
• Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability.

Benefits

• Competitive salary
• Attractive annual leave entitlement including: birthday, work anniversary
• 401(k) plan with employer match
• Eligible for company-sponsored group health, dental, vision, and life/disability insurance
• Flexi-work hour and hybrid set-up
• Internal mobility program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed