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 leveraging GenAI tools to achieve higher efficiency and superior software quality. You will serve as both technical lead and mentor for the existing quantitative engineering team, ensuring robustness, scalability, and correctness in 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 architectures
- 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 transformed 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 utilize GenAI (LLMs) for rapid prototyping, system refactoring, code reviews, test generation, and documentation
- Develop internal workflows and safeguards for secure and efficient GenAI usage in production
- Guide database schema design for trading data, logs, and system states
- Lead the development of monitoring dashboards, alert mechanisms, and operational visualizations
- Serve as senior technical liaison between quantitative research, product, and operations teams
- Translate trading and risk requirements into concrete system implementations
- Support production incident handling and post-mortem analysis when required
Job Requirements
- 5+ years of backend or quantitative systems development experience
- Expertise in Python (core requirement) with development experience in Go, C++, or C#
- Hands-on design or operational experience with Order Management Systems (OMS), risk management systems, or high-reliability financial trading systems
- Solid understanding of electronic trading workflows and failure modes
- Proven ability to lead, review, and enhance other engineers' work
- Practical experience using GenAI/LLMs 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
