Quant Developer (FinTech)

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Quant Developer will design, develop, and optimize high-performance software solutions for fintech applications, supporting trading, risk, and analytics capabilities. This role requires strong technical expertise, quantitative understanding, and the ability to deliver reliable systems in a fast-paced financial environment.

• Build and maintain low-latency, high-reliability trading, risk, and analytics systems.
• Translate quantitative models and financial strategies into scalable production software.
• Partner with quantitative teams, traders, and business stakeholders to develop effective technology solutions.
• Design and implement high-throughput systems with strong performance and operational reliability.
• Develop software using languages such as C++, Java, and Python.
• Work with market data systems, financial instruments, and trading infrastructure.
• Implement and improve systems supporting risk calculations, P&L attribution, and financial analytics.
• Apply advanced debugging, profiling, and performance optimization techniques.
• Participate in code reviews, design discussions, and engineering best practices.
• Mentor junior engineers and contribute to improving development standards and processes.
• Collaborate with cross-functional teams to translate complex requirements into effective technical solutions.

Requirements:

The ideal candidate combines strong software engineering expertise with quantitative finance knowledge and experience building production-grade financial systems. They should have a passion for solving complex technical challenges while maintaining high standards for performance, reliability, and scalability.

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or another quantitative discipline.
• 6+ years of software engineering experience, with significant experience in fintech environments.
• Strong programming skills in C++, Java, or Python, preferably with experience in multiple languages.
• Solid understanding of financial markets, trading instruments, and quantitative methodologies.
• Hands-on experience developing low-latency and high-throughput systems.
• Experience working with market data platforms and FIX protocol implementations.
• Strong understanding of risk management concepts and P&L attribution.
• Experience with concurrency, high-performance computing patterns, and system optimization.
• Strong debugging, profiling, and performance tuning abilities.
• Excellent communication, documentation, and collaboration skills.
• Experience with derivatives pricing libraries such as QuantLib is preferred.
• Familiarity with kdb+/q or similar columnar tick databases is a plus.
• Exposure to GPU-accelerated pricing, risk computation, or cloud-native fintech architectures is highly desirable.
• Advanced degree in a quantitative field is preferred.

Benefits:

• Competitive annual salary range of $89,000–$112,000.
• Fully remote position within the United States.
• Full-time direct employment opportunity.
• Opportunity to work on advanced fintech, trading, and quantitative technology solutions.
• Career growth opportunities within an established technology organization.
• Collaborative environment with exposure to engineering, finance, and business teams.
• Opportunity to contribute to impactful financial platforms and innovative technology initiatives.