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Quantitative Engineer

Bright Vision Technologies

Anywhere (Remote, U.S.)Technology06/08/2026
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About the Role

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Key Takeaways for this Role

  • Join a high-impact team at Bright Vision Technologies building innovative solutions.
  • Competitive salary ($150,000 - $185,000 Annually) and excellent career growth opportunities.
  • Position based in Anywhere (Remote, U.S.) with Technology working model.

Job Summary

Bright Vision Technologies is seeking an experienced Quantitative Engineer to design and build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. This fully remote, full-time role offers the opportunity to work with a well-respected technology consulting firm that delivers cloud, AI, data, and enterprise solutions across the United States. You will partner closely with quants and traders to translate complex mathematical models into production-quality software that meets strict performance and accuracy standards. The ideal candidate combines strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management. This role is ideal for a senior engineer who thrives in a collaborative, cross-functional environment and is passionate about raising the bar through code review, design review, and mentoring junior engineers. With a competitive salary range of $150,000 to $185,000 and the flexibility of 100% remote work, this position offers both professional growth and work-life balance. If you are a disciplined engineer with a track record of shipping meaningful, production-ready systems, this is an outstanding opportunity to make a significant impact in the fintech space.

Key Responsibilities

  • Design, develop, and maintain low-latency, high-throughput trading, risk, and analytics systems for fintech applications.
  • Translate mathematical models and quantitative strategies into production-quality software that meets strict performance, accuracy, and operational requirements.
  • Collaborate with quants, traders, and cross-functional partners to turn ambiguous requirements into well-engineered solutions.
  • Implement and optimize market data systems, including FIX protocol interfaces, to ensure reliable and fast data ingestion.
  • Build and enhance risk management and P&L attribution systems to support trading decisions.
  • Apply high-performance computing patterns and concurrency techniques to maximize system efficiency.
  • Debug, profile, and tune software to achieve optimal performance and reliability.
  • Participate in code reviews and design reviews, and mentor junior engineers to elevate team standards.
  • Document system designs, technical specifications, and operational procedures clearly.
  • Stay current with emerging technologies and industry trends to drive continuous improvement.

Role Requirements & Qualifications

  • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related quantitative discipline.
  • Six or more years of software engineering experience, with significant time in fintech.
  • Strong programming skills in C+, Java, or Python, with proficiency in more than one preferred.
  • 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.

Skills Inventory

  • Essential: C+, Java, or Python programming
  • Essential: Low-latency system design and implementation
  • Essential: FIX protocol and market data systems
  • Essential: Risk management and P&L attribution
  • Essential: Concurrency and high-performance computing
  • Essential: Debugging, profiling, and performance tuning
  • Preferred: Derivatives pricing libraries (QuantLib)
  • Preferred: kdb+/q or similar columnar tick databases
  • Preferred: GPU-accelerated pricing or risk computation
  • Preferred: Cloud-native fintech architectures
  • Preferred: Advanced degree in a quantitative discipline

Salary & Compensation Estimation

The salary range for this position is $150,000 to $185,000 annually, based on experience and qualifications. This range is competitive for a senior quantitative engineer with 6+ years of experience in fintech, especially for a fully remote role. Compensation may also include performance bonuses, stock options, or other benefits depending on company policy. Given the U.S. remote nature, the salary is aligned with national benchmarks for similar roles in the financial technology sector.

šŸ“¢ External Advertisement Notice

This opportunity is posted on behalf of the hiring organization and was compiled from an external recruitment portal or advertising site. CareerCraft Uganda is not the recruiting entity.

Source Credit:View Original Advert

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Role Overview

Salary$150,000 - $185,000 Annually
LocationAnywhere (Remote, U.S.)
TypeTechnology
ExperienceMid-Senior
Posted06/08/2026

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