Full Stack Quantitative Developer – Capital Markets

Portfolio BI

Full Stack Quantitative Developer building full-stack applications for credit and structured products at Portfolio BI. Collaborating with various teams to modernize analytics and reporting platforms.

Posted 7/8/2026contractRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudJavaScript.NETNoSQLNumpyPandasPythonReactSQLTableauTFSTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

This is a remote, contract role, in either of these three locations: NYC / Dallas / Los Angeles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonC#/.NETTypeScript/JavaScriptSQLREST APIsMicroservicesHTML5/CSSNumPy/PandasTableauCI/CD

Soft Skills

Analytical Problem-SolvingExcellent CommunicationDetail-OrientedSelf-StarterTeam Collaboration