Trading Analytics Developer, Quantitative Trading
The Quant Trading team focuses on trading and managing risks within crypto products, encompassing spots and derivatives while developing and executing trading strategies in dynamic trading environments.
We are in search of an experienced Trading Analytics Developer to join the Quant Trading team. This role will be instrumental in enhancing our data and AI infrastructure. The position merges traditional quantitative development with cutting-edge AI platform engineering, emphasizing the construction of efficient, scalable systems that cater to both data analytics and artificial intelligence workloads. The ideal candidate will bridge high-performance trading systems with modern AI capabilities to ensure reliability, performance, and provide actionable insights across both disciplines.
Key Responsibilities
Data Platform & Analytics
- Design, construct, and manage high throughput batch and streaming data pipelines leveraging Kafka, Flink, and ETL technologies
- Create and implement a unified analytics engine for processing large-scale data using Apache Spark and related tools
- Develop and enhance analytical data models focusing on time-series, financial metrics, and trading activity
- Establish and oversee analytical databases like ClickHouse, MongoDB, BigQuery, Snowflake, or equivalent, with a cost-efficient architecture
- Construct idempotent data pipelines with strong backfill and reconciliation capabilities
- Develop comprehensive monitoring for data quality, freshness, and pipeline reliability
AI Platform Development
- Design, build, and operate internal AI platforms supporting multiple trading teams
- Establish reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows
- Develop and maintain agent systems employing modern frameworks with a focus on controllability and auditability
Required Qualifications
Fundamental Skills
- 5+ years of production experience in Python and Java within high-performance environments
- Strong foundation in software engineering involving system design, data structures, algorithms, data integrity, accuracy, and performance optimization
- Proficiency in Linux, Github, and modern CI/CD practices
- Demonstrated experience with AWS cloud services and Kubernetes orchestration
- Ability to work with extensive, intricate datasets within financial/trading environments
Data Platform Expertise
- Proficiency in advanced SQL with window functions and query optimization, real-time data synchronization, database design, and infrastructure support
- Experience in data workflow and messaging orchestration utilizing tools like Airflow, Jenkins, AMPS, etc.
- Operational familiarity with metric design and implementation for trading analytics, time-series data visualization, and event processing in production environments
AI Platform Capabilities
- Familiarity with retrieval system evaluation methodologies and quality frameworks
- Understanding of RAG pipeline architecture and optimization techniques
- Knowledge of LLMOps practices involving model lifecycle and prompt management
- Experience with AI agent frameworks like A2A and MCP in production environments
Preferred Qualifications
Financial/Trading Domain
- Prior engagement with trading systems, quantitative finance, or financial technology
- Understanding of market data and data subscription utilizing Rest API / Web Socket
- Knowledge of cryptocurrency markets, DeFi, and related technologies
Professional Attributes
- Strong problem-solving skills and ability to work effectively under pressure
- Excellent communication skills for cross-team collaboration
- Proactive approach to system reliability and performance enhancement
- Continuous learning mindset in the evolving AI/ML landscape
- Mixture of practical engineering rigor and innovation in solution development
About the Company
Founded in 2016, the company serves millions of customers globally and is the fastest-growing cryptocurrency platform. Committed to democratizing cryptocurrency through innovation, the company values diversity and inclusion in its team.
Employee Benefits
- Competitive salary
- Medical insurance coverage
- Generous annual leave entitlement
- Work flexibility including flexi-work hours and remote set-up
- Internal mobility program and career development opportunities
Personal data provided by applicants will be used for recruitment purposes only.
