Job Title: Full Stack Quantitative Developer - Capital Markets
Location: Remote
Hire Mode: Contract To Hire
Primary Skills: Quant Models, Capital markets, Investment Banking, Hedge Funds.
Job Description
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 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
Approximate Time Allocation
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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.
Kuldeep Reddy. R Senior Executive - US Recruitment | |
T: +1 551-270--5166 (Direct) | E: |
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