Portfolio BI
Full Stack Quantitative Developer - Capital Markets - NYC / Dallas / Los Angelas
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Job Description
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 w...
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