Remote Full-Stack Quant Developer — Finance Analytics

Gofractional; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

GoFractional is seeking a Full Stack Quantitative Developer to design and own end-to-end applications supporting credit, structured products, and related markets. This is a hands-on engineering role with quant DNA, writing production code across the stack and modeling cash flows and risk.

You will work with the CIO and senior technologists to modernize the analytics and reporting platform, move legacy apps to cloud-ready architectures, and build data tooling and dashboards that support the

Qualifications

• Bachelor’s degree from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline
• 5+ years of professional software engineering experience with production ownership of customer-facing or business-critical systems
• 2+ years in capital markets with exposure to fixed income, structured products, derivatives, private credit, or CLOs
• Demonstrated success delivering full-stack applications end-to-end from requirements to production deployment and support

Responsibilities

• Build full-stack applications across 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 with clean adapters and reconciliation logic
• Participate in the Migration of legacy .NET/C# applications and SSRS reports to modern architectures (TypeScript/React front ends, Python or .NET services, cloud-deployed) with responsive UX
• Own data quality end-to-end - ingestion, normalization, validation, and lineage
• Build reporting and BI across Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests
• Translate business needs into engineering—gather requirements, document specs, write UAT plans, and lead testing
• Ship like an engineer - write tests, use Git/TFS, manage tickets in DevOps, deploy via CI/CD, monitor production
• Use AI coding assistants to accelerate delivery while preserving security and quality

Skills

Python

C#/.NET

TypeScript/JavaScript

SQL

NoSQL

React

CI/CD

Git/TFS

Cloud (Azure/AWS)

Tableau/SSRS

Education

Bachelor’s degree in Computer Science or quantitative field

Tools

Git

CI/CD

Confluence

SSRS

Tableau

Azure

AWS

Job description

GoFractional is seeking a Full Stack Quantitative Developer to design and own end-to-end applications supporting credit, structured products, and related markets. This is a hands-on engineering role with quant DNA, writing production code across the stack and modeling cash flows and risk.

You will work with the CIO and senior technologists to modernize the analytics and reporting platform, move legacy apps to cloud-ready architectures, and build data tooling and dashboards that support the