Trading Analytics Developer, Quantitative Trading

As a Trading Analytics Developer, you'll join Crypto.com's Quant Trading team to advance data and AI infrastructure. This role combines quantitative development with AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. You'll bridge high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains.

What you'll do

• Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies
• Design and build a unified analytics engine 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 such as ClickHouse, MongoDB, BigQuery, and Snowflake with cost-aware architecture
• Build idempotent data pipelines with robust backfill and reconciliation capabilities
• Create comprehensive monitoring for data quality, freshness, and pipeline reliability
• 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 such as LangGraph, A2A, and MCP with focus on controllability and auditability

What you bring

• 5+ years of production experience with both Python and Java in high-performance environments
• Strong software engineering fundamentals including 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 and trading contexts
• Advanced SQL with window functions and query optimization, real-time data synchronization, database design, and infrastructure support
• Experience with data workflow and messaging orchestration tools such as Airflow, Jenkins, and AMPS
• Metric design and implementation for trading analytics including PnL, risk, balance and trade reconciliation, backfill, and performance tuning
• Time-series data visualization with Grafana, TradingView, web-based interactive dashboards, and BI tools
• 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 such as A2A and MCP

Nice to have

• Experience in trading systems, quantitative finance, or financial technology
• Understanding of market data and data subscription using REST API or WebSocket
• Knowledge of cryptocurrency markets, DeFi, and related technologies
• Excellent problem-solving skills with ability to perform under pressure
• Proactive approach to system reliability and performance optimization
• Continuous learning mindset in the rapidly evolving AI and ML landscape

What we offer

• Competitive salary
• Attractive annual leave entitlement including birthday and work anniversary
• 401(k) plan with employer match
• Company-sponsored group health, dental, vision, and life and disability insurance
• Flexible work hours and hybrid work setup
• Internal mobility program offering diverse career alternatives

About Crypto.com

Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating cryptocurrency adoption through innovation and empowering builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.