Build and optimize low-latency, high-reliability trading, pricing, risk, and analytics systems. Translate quant models into production code, implement market data ingestion, pricing libraries, risk engines, backtesting infrastructure, observability, and compliance workflows. Profile and optimize performance-critical code, lead incident response, maintain documentation, and mentor junior engineers.
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 Quant Developer (FinTech) 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. Quant Developer (FinTech)Job Title: Quant Developer (FinTech)
Salary Range: 100k$/Annum-150k$/Annum
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
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.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
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 Quantitative Developer 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
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
As we continue to grow, we’re looking for a skilled Quant Developer (FinTech) 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. Quant Developer (FinTech)Job Title: Quant Developer (FinTech)
Salary Range: 100k$/Annum-150k$/Annum
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
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.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
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 Quantitative Developer 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 appropriate logging, metrics, and audit trails.
- Lead incident response for trading-critical issues with calm and rigor.
- Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
- Mentor junior engineers and contribute to engineering culture in the team.
- 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 (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.
- Experience with derivatives pricing libraries (QuantLib).
- 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.
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
Similar Jobs
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
Lead generative AI product initiatives for financial markets: own roadmap, deliver AI-native experiences, partner with engineering, sales, and marketing, identify market opportunities, and communicate technical concepts to stakeholders.
Top Skills:
Ai AgentsData ExtractionData Retrieval ApisGenerative AiMachine LearningNatural Language Processing
Fintech • HR Tech
Design, build, test, and operate Gusto core customer-facing products across frontend and backend. Own multi-quarter projects, scale Ruby/Rails and JavaScript/React systems, mentor engineers, collaborate with product, data, design, and platform teams, and iterate on features that deliver measurable customer impact.
Top Skills:
JavaScriptReactRubyRuby On Rails
Fintech • Information Technology • Financial Services
Work on evaluating and executing infrastructure investments across energy, transportation, digital, and water/waste sectors. Conduct market research, build financial models, support diligence and deal structuring, manage external advisors, assist portfolio company operations, monitor performance and valuations, and support financing and transaction negotiations.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



