Quantitative Engineer (Fintech): Building low-latency, high-reliability trading, risk, and analytics systems for fintech applications with an accent on translating mathematical models into production-quality software, market data, and performance optimization. Focus on implementing FIX protocol systems, designing concurrent high-throughput services, and ensuring accuracy, reliability, and operational performance in production.
Location: 100% remote within the United States
Salary: $150,000–$185,000 annually
Company
hirify.global is a technology consulting and software development company delivering cloud, AI, data, enterprise, and fintech solutions across the United States.
What you will do
Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.
Translate mathematical models into production-quality software in partnership with quants and traders.
Develop market data systems and FIX protocol implementations.
Design and optimize high-throughput systems using concurrency and high-performance computing patterns.
Collaborate with product, design, engineering, operations, and business stakeholders to turn ambiguous requirements into reliable solutions.
Contribute through code and design reviews and mentor more junior engineers.
Requirements
Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline.
6+ years of software engineering experience, including significant fintech experience.
Strong programming skills in C++, Java, or Python, preferably in more than one language.
Knowledge of financial markets, instruments, quantitative methods, risk management, and P&L attribution.
Experience with low-latency, high-throughput systems, market data, FIX protocol, debugging, profiling, and performance tuning.
Must be authorized to work in the United States as a U.S. citizen, Green Card holder, EAD holder, or H-1B transfer candidate; new H-1B sponsorship is unavailable.
Nice to have
Experience with QuantLib or other derivatives pricing libraries.
Familiarity with kdb+/q or similar columnar tick databases.
Exposure to GPU-accelerated pricing or risk computation.
Experience with cloud-native fintech architectures.
Advanced degree in a quantitative discipline.
Culture & Benefits
Full-time direct W-2 employment.
Established organization with career growth opportunities.
Collaborative work across technical, product, operations, and business functions.
Equal employment opportunity and a workplace free from harassment and discrimination.
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