Jobs and Careers
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Financial Software Engineer
Bright Vision TechnologiesUnited States - Remote, United StatesRemotefull_timeVerifiedPosted 13 Jul 2026
💰 $150,000/yr($100,000/yr – $150,000/yr)
About the role
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled Financial Software Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary: $100K - $150K
Experience: 6+ years
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an experienced Financial Software Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Key Responsibilities
As we continue to grow, we’re looking for a skilled Financial Software Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Financial Software Engineer
Location: 100% Remote (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary: $100K - $150K
Experience: 6+ years
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an experienced Financial Software Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Key Responsibilities
- Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
- Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations.
- Build robust market data ingestion and normalization pipelines for high-volume tick data.
- Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks.
- Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants to make informed decisions under uncertain market conditions.
- Profile and optimize critical-path code for latency and throughput, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency.
- Build comprehensive backtesting and simulation infrastructure that lets researchers evaluate strategies against historical data and synthetic scenarios with reproducible, audit-friendly results.
- Collaborate closely with quants, traders, and risk officers to refine models and tooling.
- Implement regulatory and compliance reporting workflows where applicable, ensuring outputs meet jurisdictional requirements, are auditable end-to-end, and can be reproduced reliably for retrospective analysis.
- Ensure full observability of trading systems with appr
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