Build low-latency trading, risk, and analytics systems for fintech applications. Translate quantitative models into production software, collaborate with quants and traders, implement market data and FIX systems, optimize performance and concurrency, and contribute to code reviews, design reviews, debugging, documentation, and mentoring.
Quantitative Developer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Quantitative Developer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $75,000–$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
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.
Required Qualifications
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Quantitative Developer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $75,000–$100,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
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.
Required 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 (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]. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Similar Jobs
Big Data • Other • Analytics
Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.
Top Skills:
AWSAzureDockerGCPGitPandasPolarsPython
11 Days Ago
Fintech • Information Technology • Financial Services
Build and maintain production-grade Python components that implement systematic signals and portfolio tooling. Integrate AI tools into development and investment workflows, partner with global tech teams to ingest and pipeline data, and support production systems with monitoring, incident response, and deployment processes. Document and train teammates while collaborating with researchers and portfolio managers.
Top Skills:
Agentic Ai FrameworksAladdinAPIsGithub CopilotPythonWindsurf
Artificial Intelligence • Generative AI
Lead development of ML components for medical image reconstruction: define training/evaluation pipelines and metrics, productionize models (inference performance, monitoring, safe fallbacks), collaborate on hybrid physics-ML algorithms, and build tooling for experimentation and rigorous verification.
Top Skills:
Agentic-ScimlData AssimilationDenoisersEnsemble MethodsGpusKalman FilteringLearned RegularizersMedical Image ReconstructionNeural OperatorsPhysics-Informed Neural Networks (Pinns)Scientific ComputingSignal ProcessingVariational Methods
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering



