Trading Analytics Developer, Quantitative Trading

Founded in 2016, Crypto.com serves over 150 million customers and is the world's fastest-growing global cryptocurrency platform. Our vision is to achieve 'Cryptocurrency in Every Wallet™'. Built on security, privacy, and compliance, Crypto.com is dedicated to accelerating crypto adoption through innovation, empowering builders and creators to develop a fairer, more equitable digital ecosystem. We value diversity and inclusion and are an equal opportunities employer.

Introduction

Crypto.com is seeking an experienced Trading Analytics Developer to join our Quantitative Trading team. This pivotal 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.

Responsibilities

Data Platform & Analytics

• Design, build, and operate high-throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies.
• 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 a 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.
• Develop vector search systems with optimized HNSW indexing and hybrid retrieval capabilities.
• Implement evaluation frameworks for retrieval quality (Recall@K, MRR, nDCG) and RAG systems.
• 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 a focus on controllability and auditability.

Requirements

Technical Requirements

Mandatory Foundations

• 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.

Data Platform Expertise

• Advanced SQL with window functions and query optimization, real-time 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, and BI tools.
• Kafka, Flink, and event processing in production environments.

AI Platform Capabilities

• Vector search system design and optimization (recall/latency/memory trade-offs).
• 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.
• LangGraph / LangChain to build AI workflows and connect AI models with data and tools to create smarter applications.

Professional Attributes

• Excellent problem-solving skills with the ability to perform under pressure.
• Strong communication skills for cross-team collaboration.
• Proactive approach to system reliability and performance optimization.
• Continuous learning mindset in a rapidly evolving AI/ML landscape.
• Balance of practical engineering rigor with innovative solution development.

Nice to Have

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.

Benefits

• Competitive salary.
• Medical insurance package with extended coverage to dependents.
• Attractive annual leave entitlement including: birthday, work anniversary.
• Flexi-work hour and hybrid or remote set-up.
• Internal mobility program for career development.
• Crypto.com Visa card provided upon joining.
• Note: Benefit packages may vary depending on regional requirements. More details can be provided by the talent acquisition team.

About Company

Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest-growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at https://crypto.com.

How to Apply

Interested candidates are encouraged to apply through the provided application link. Crypto.com is an equal opportunities employer and committed to creating an environment where opportunities are presented in a fair and transparent way. Personal data provided by applicants will be used for recruitment purposes only. We may use artificial intelligence tools to analyze content of your Resume/CV against the specific requirements for the position. These tools assist our recruitment team in their evaluation by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans.