Quantitative Developer – Fintech

Job Description:

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications
• Partner closely with quants and traders to translate mathematical models into production-quality software
• Work with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions
• Raise the bar through code review, design review, and mentorship of more junior engineers
• Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python
• Build robust market data ingestion and normalization pipelines for high-volume tick data
• Develop pricing libraries for derivatives and structured products, testing against analytical benchmarks
• Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities
• Build comprehensive backtesting and simulation infrastructure
• Collaborate closely with quants, traders, and risk officers to refine models and tooling
• Ensure full observability of trading systems with appropriate logging, metrics, and audit trails

Requirements:

• 6+ years of software engineering experience
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline
• Strong programming skills in C++, Java, or Python (preferably more than one)
• Solid grounding in financial markets, instruments, and basic quantitative methods
• Hands-on experience building low-latency, high-throughput systems
• Experience with market data systems and FIX protocol implementations
• Strong understanding of risk and P&L attribution
• Experience with high-performance computing patterns and concurrency
• Excellent debugging, profiling, and performance-tuning skills
• Strong communication and documentation skills.

Benefits:

• Comprehensive benefits
• Competitive compensation packages
• Supportive work-life balance