Job Description
We are seeking a seasoned Quantitative Engineer to lead and guide the development of core financial and trading infrastructure for the 300 SPARTANS project. This role holds technical leadership authority over system architecture and implementation standards, while actively utilizing GenAI tools to achieve higher efficiency and superior quality in software development. You will serve as the technical leader and mentor for the existing team of quantitative engineers, ensuring the robustness, scalability, and correctness of the Order Management System (OMS), risk control framework, and monitoring infrastructure.
Key Responsibilities
- Lead the design and continuous evolution of OMS, signal processing, and risk control architecture
- Review, guide, and provide recommendations for the work of existing quantitative engineers
- Establish best practices for system reliability, fault tolerance, and auditability
- Oversee systems that receive, validate, and standardize trading signals from hundreds of strategies
- Ensure trading signals are correctly converted into executable orders within defined risk constraints
- Design or optimize pre-trade and post-trade risk management logic
- Guarantee deterministic system behavior under high-concurrency and high-pressure scenarios
- Proactively use GenAI (large language models) for rapid prototyping and backend system refactoring
- Utilize GenAI for code reviews, test generation, and documentation
- Enhance development efficiency without compromising correctness
- Develop internal workflows and safeguards for secure and efficient GenAI usage in production
- Guide database schema design for trading data, logs, and system status
- Lead the development of monitoring dashboards, alert mechanisms, and operational visualization
- Ensure comprehensive observability for OMS, execution systems, and risk control modules
- Serve as senior technical liaison between quantitative research, product, and operations teams
- Translate trading and risk control requirements into concrete system implementations
- Support production incident handling and post-mortem analysis when required
Job Requirements
- 5+ years of backend or quantitative system development experience
- Proficiency in Python (core requirement) with development experience in Go, C++, or C#
- Practical design or operational experience with at least one of: Order Management Systems (OMS), risk management systems, or high-reliability financial trading systems
- Solid understanding of electronic trading processes and their failure modes
- Demonstrated ability to lead, review, and improve other engineers' work
- Practical experience using GenAI/large language models for coding and system development
- Strong systematic thinking with emphasis on edge case handling
Preferred Qualifications
- Experience with fund pools or multi-strategy trading platforms
- Exposure to real-time systems with strict latency and correctness requirements
- Work experience in cryptocurrency or multi-exchange trading environments
- Experience designing circuit breakers, rate limiting, or fuse mechanisms
