Role Description 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. 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. Preferred Qualifications - 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. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .

• Develop, maintain and optimize programs and systems in a Mainframe environment. • Actively support and resolve complex incidents in production environments. • Execute and monitor batch and online processing, ensuring SLAs are met. • Perform technical and business impact analysis to mitigate risks during deployments. • Participate in code reviews and technical refinements with the team.

• Define and lead the Engineering Platforms org — structure the org, direct report team, and establish ownership across defined pillars • Drive the platform shift — help transition Sembi from centralized DevOps to a platform engineering model where the road and guardrails are built for internal teams own their services end-to-end • Build the data and AI infrastructure layer — canonical data strategy across 8 products; AI platform foundations (model gateway, eval framework, training pipeline) that power Sembi's product AI roadmap • Govern cloud and infra — multi-brand cloud strategy, cost optimization, security posture, and vendor relationships • Partner with brand engineering leads — your platforms are their enabler; you'll build with them through innersourcing while reducing cognitive load so they can scale faster • Translate technical complexity into business outcomes — communicate platform strategy and tradeoffs clearly to the VP of Engineering, ELT, and board where relevant

• Design, develop, test, implement, and maintain enterprise applications supporting SCPO programs and initiatives • Convert legacy Excel-based budget management tools into Power Platform solutions utilizing Dataverse, Power Apps, Power Automate, Power BI, and SharePoint • Develop workflow automation solutions that improve operational efficiency and business processes • Develop application integrations with authorized VA systems, including Oracle Health, VistA, CPRS, CDW, AACS, FMS, iFAMS, IFCAP, and VSSC • Utilize SQL and relational database platforms to support application development and reporting requirements • Create application architecture diagrams, data flow maps, technical designs, and system documentation • Implement role-based access controls, security features, audit capabilities, and data integrity controls • Develop and maintain production and sandbox environments for testing and quality assurance • Create administrator guides, user documentation, training materials, and recorded training sessions • Support OI&T review processes and ensure compliance with VA architecture, cybersecurity, and interoperability standards • Provide ongoing application support, maintenance, enhancements, and knowledge transfer activities • Lead modernization of existing Microsoft Excel-based budget management tools into enterprise Power Platform applications • Design and implement funding request workflows, approval routing, budget tracking, and financial reporting capabilities • Configure automated interfaces with authorized VA financial systems and enterprise data sources • Develop capabilities supporting budget planning, fund distribution, commitments, obligations, expenditures, and available balance tracking