Trading Analytics Developer, Quantitative Trading
The Quant Trading team manages trades and risks of various crypto products, such as spots and derivatives. They create and execute trading strategies in dynamic trading settings.
We are searching for a skilled Trading Analytics Developer to join the Quant Trading team and enhance our data and AI infrastructure. This role merges traditional quantitative development with cutting-edge AI platform engineering, focusing on constructing solid, scalable systems supporting data analytics and artificial intelligence workloads. The ideal candidate will link high-performance trading systems with modern AI capabilities to ensure reliability, efficiency, and actionable insights in both fields.
Responsibilities
Data Platform & Analytics
- Develop and manage high-volume batch and streaming data pipelines using Kafka, Flink, and ETL technologies.
- Create a unified analytics engine for processing large data using Apache Spark and related tools.
- Construct and optimize data models for time-series, financial metrics, and trading activity analysis.
- Deploy and manage analytical databases like ClickHouse, MongoDB, BigQuery, Snowflake, or similar, with cost-efficient architecture.
- Establish idempotent data pipelines with robust backfill and reconciliation capabilities.
- Implement comprehensive monitoring for data quality, freshness, and pipeline reliability.
AI Platform Development
- Design, build, and maintain internal AI platforms for multiple trading teams.
- Develop reusable AI tools, including standardized RAG pipelines, prompt management, and self-service workflows.
- Create and sustain agent systems utilizing modern frameworks like LangGraph, A2A, MCP, focusing on controllability and auditability.
Requirements
Mandatory Foundations
- 5+ years of Python and Java experience in high-performance environments.
- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy, and performance optimization.
- Proficiency in Linux, Github, and contemporary CI/CD practices.
- Demonstrated skills with AWS cloud services and Kubernetes orchestration.
- Proficient in handling large-scale, complex datasets in financial/trading scenarios.
Data Platform Expertise
- Proficiency in advanced SQL with window functions, query optimization, real-time data synchronization, database design, and infrastructure maintenance.
- Experience with data workflow and messaging orchestration tools (Airflow, Jenkins, AMPS, etc.).
- Knowledge in trading analytics metric design and implementation (PnL, risk, balance, trade reconciliation), backfill, and performance tuning.
- Expertise in time-series data visualization using Grafana, TradingView, web-based interactive dashboards, BI tools, etc.
- Experience with Kafka, Flink, and event processing in live environments.
AI Platform Capabilities
- Understanding of retrieval system evaluation methodologies and quality frameworks.
- Proficiency in RAG pipeline architecture and optimization techniques.
- Knowledge of LLMOps practices, including model lifecycle and prompt management.
- Experience with AI agent frameworks like A2A and MCP in production settings.
Preferred Qualifications
Financial/Trading Domain
- Background in trading systems, quantitative finance, or financial technology.
- Familiarity with market data, data subscription using Rest API/Web Socket.
- Knowledge of cryptocurrency markets, DeFi, and related technologies.
Professional Attributes
- Strong problem-solving skills with the ability to perform under pressure.
- Effective communication skills for collaboration across teams.
- Proactive approach to system reliability and performance optimization.
- Continuous learning mindset in the evolving AI/ML landscape.
- Balance between practical engineering rigor and innovative solution development.
Life at Crypto.com:
- Opportunities for growth and innovation with a supportive and talented team.
- Transformative and proactive work environment.
- Focus on personal and professional development.
- Collaborative team culture dedicated to achieving common goals.
