Full Stack Quantitative Developer - Capital Markets - NYC / Dallas / Los Angelas

• Bachelor's degree (or higher) from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline

• 5+ years of professional software engineering experience, including production ownership of customer-facing or business-critical systems
• 2+ years working in capital markets, ideally at a hedge fund, asset manager, investment bank, or financial technology vendor - with direct exposure to fixed income, structured products, derivatives, private credit, or CLOs
• Demonstrated success delivering full-stack applications end-to-end, from requirements through production deployment and support

• Languages: strong proficiency in at least one of Python, C#/.NET, or TypeScript/JavaScript, and working competence in a second
• Backend: REST APIs, asynchronous services, and microservice patterns.  Python or NET/C# experience strongly preferred given existing systems
• Frontend: modern JavaScript frameworks (React/Angular), responsive web design, HTML5/CSS, and cross-platform optimization for mobile
• Data: expert SQL (window functions, query tuning, set-based thinking); experience with NoSQL/document stores.
• Quant / numerical: comfortable with NumPy/pandas (or equivalent), basic statistics, fixed-income math (duration, convexity, OAS), and cash flow modeling
• Tooling: Git (or TFS), CI/CD, DevOps, Confluence, unit and integration testing frameworks
• Cloud: experience deploying and operating services on Azure or AWS is a plus
• Reporting / BI: Tableau dashboard development or SSRS a plus

• Solid understanding of fixed-income securities, bank loans, and credit instruments
• Familiarity with private credit deal lifecycle: sourcing, underwriting, closing, ongoing monitoring, amendments, and valuation
• Awareness of portfolio accounting concepts (Geneva exposure is a plus) and portfolio risk frameworks (Bloomberg Port, RiskMetrics or equivalent)

• Strong analytical and practical problem-solving skills; you reason from first principles and verify assumptions
• Excellent written and verbal communication; able to explain technical work to PMs and senior executives
• Self-starter with strong work ethic; comfortable juggling multiple workstreams under deadline pressure
• Detail-oriented, with high standards for code quality, data accuracy, and operational discipline
• Team player who collaborates well across technical and non-technical groups

• →Build full-stack applications across our credit, private credit, and structured products platforms — backend services, APIs, data pipelines, and modern web front ends used by various business teams across the firm
• →Develop quantitative models and analytics for fixed-income and structured product valuation, cash flow projections, scenario analysis, and portfolio risk decomposition
• →Integrate third-party systems including Geneva (portfolio accounting), market data vendors, CRM platforms, and administrative platforms, design clean, well-tested adapters and reconciliation logic
• →Participate in the Migration of legacy .NET/C# applications and SSRS reports to modern, scalable architectures (TypeScript/React front ends, Python or .NET services, cloud-deployed) with responsive UX across desktop and mobile
• →Own data quality end-to-end - ingestion, normalization, validation, and lineage - for firmwide positions, partnering with the data management team on governance and controls
• →Build reporting and BI spanning Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests for portfolio composition and DDQ responses
• →Translate business needs into engineering — gather requirements directly from PMs, analysts, risk, IR, and operations; document functional and technical specs; write clear UAT plans and lead testing
• →Ship like an engineer - write tests, use source control (GIT/TFS), open clean PRs, manage tickets in DevOps, deploy through CI/CD, and monitor what you ship in production
• →Use AI coding assistants well - accelerate delivery, reduce boilerplate, and improve code quality, while applying the verification, security, and review standards described later in this document

This is a hands-on builder role. A reasonable target distribution:

• 60% development - services, APIs, front-end, quant models, data pipelines
• 20% reporting and analytics development - Tableau, SQL, internal dashboards, investor / DDQ outputs
• 10% requirements gathering and analysis - partnering with the business
• 10% production support, code review, and mentoring