Full Stack Quantitative Developer - Capital Markets - NYC / Dallas / Los Angelas
Portfolio BI ’s flagship products and services, PBI Axiom, PBI Vector, and PBI Stratus, enable alternative asset managers to address their data challenges in analytics, workflow, governance, and security.
We are hiring a Full Stack Quantitative Developer to design, build, and own end-to-end applications that support credit, private credit, structured products, and CLO businesses. This is a hands-on engineering role with quant DNA: you will write production code across the stack, model financial cash flows and risk, integrate market data and pricing services, and partner directly with client solutions group, portfolio managers, risk, operations, and investor relations.
You will work alongside the CIO and senior members of Business Technology to contribute to the modernization of the analytics and reporting platform - moving legacy applications to a responsive, cloud-aware architecture, replacing ad-hoc spreadsheets with auditable services, and building the data and tooling layer that supports the firm’s various lines of business.
You will also be expected to use AI coding assistants as a daily part of your workflow.
Requirements
Education
- Bachelor's degree (or higher) from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline
Experience
- 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
Technical Skills — Core
- 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
Domain Knowledge
- 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)
General Skills
- 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
Key Responsibilities:
- 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 fi