Senior Quant Developer/Researcher - JAVA (Exchnage)
A large crypto marking making business is seeking a highly skilled Senior Quant Developer to join their Exchange Trading team. In this role, you'll work closely with traders, quantitative researchers, and technologists to develop and refine algorithms for both spot and derivative products.
Operating at the core of the trading floor, the team focuses on exchange trading strategies, automated risk management, and liquidity optimization. This role demands a blend of technical excellence, market insight, and algorithmic trading experience to enhance the performance and scalability of the firm's trading systems.
You will be responsible for optimizing hedging and liquidity provision algorithms across multiple crypto exchanges, covering both liquid and illiquid assets in all market conditions, 24/7.
Key Responsibilities
- Design and optimize market-making algorithms across multiple exchanges.
- Enhance hedging models and automated execution strategies.
- Ensure low-latency, high-throughput execution with optimal fill ratios.
- Automate trading workflows to improve operational efficiency and risk control.
- Collaborate with Quant Researchers to develop and test trading strategies.
- Build analytics tools to monitor trade performance and execution quality.
Required Skills & Experience
- Strong understanding of market making, order books, pricing models, and execution strategies.
- 4+ years of experience in FX or crypto trading.
- 8+ years of Java (11+) development experience, with expertise in:
- Low-latency, multithreaded, high-performance trading systems.
- Experience building real-time trading analytics and risk monitoring tools.
- Deep knowledge of HFT optimization, including messaging, networking, and server performance tuning.
- Proficiency with SQL or time-series databases.
- Experience with cloud infrastructure (AWS - EC2, EKS, S3) and containerization (Docker, Kubernetes).
- Basic Python skills for data science and backtesting (NumPy, SciPy, Pandas).
- Strong Linux skills and experience working in globally distributed environments.
- Close collaboration with trading or sales teams and a solid understanding of financial markets.
- Excellent communication skills and the ability to thrive in a high-pressure, fast-paced environment.
- Entrepreneurial mindset with a strong sense of risk and opportunity.
Preferred Qualifications
- Experience with KDB+/Q or functional programming languages (e.g., Haskell, R, APL).
- Familiarity with machine learning tools (e.g., scikit-learn).
- Strong mathematical background and experience with quantitative analysis.
- Experience with FPGA and ultra-low latency systems.
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