[Remote] Senior Quantitative Software Engineer (Product and Platform)
Note: The job is a remote job and is open to candidates in USA. Delfi is building the next generation of financial analytics and marketplace products, helping financial institutions make data-driven decisions. They are seeking a Senior Quantitative Software Engineer to own end-to-end feature development across their frontend and backend systems, collaborating with a cross-functional team to bring ideas from concept to production.
Responsibilities
- Frontend development: Build responsive, data-intensive interfaces in React + TypeScript (Next.js), with effective state management and a focus on great user experience
- Backend systems: Design, develop, and ship APIs and services in Python (FastAPI); contribute to a shared pricing library and a DAG-based computation engine; develop logic for our core services which coordinate, orchestrate, and execute the calculations consumed by our user-facing applications
- Pricing models: productionalize, maintain, and optimize asset pricing models; build and maintain associated data pipelines
- Data modeling and performance: Structure and validate data, profile bottlenecks, and tune performance of the calculation engine at scale
- Authentication and security: Implement secure, user-friendly auth flows and protect sensitive customer data
- Infrastructure and deployment: Build and maintain the containerized services and infrastructure that run the platform, contributing to CI/CD, deployments, and observability
- Collaboration & ownership: Partner cross-functionally to scope features, mentor peers, and contribute to technical direction
Skills
- 5+ years building production-grade web applications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong fluency in TypeScript/React (Next.js a plus), with real experience owning or shipping at least one frontend application end-to-end
- Strong fluency in Python
- Proficiency in Python web frameworks (FastAPI or similar), with the ability to design and maintain APIs and services in a shared codebase
- Comfort working with data and scientific computing libraries (Pandas, Numpy, Pydantic)
- Strong problem-solving skills, ownership mindset, and the ability to thrive in a fast-moving startup environment
- Excellent communication skills; able to work across disciplines and explain complex ideas simply
- Graduate degree preferred
- Experience working with ML libraries such as TensorFlow or PyTorch
- Familiarity with authentication standards (HTTPS, JWT, OAuth)
- A solid grounding in databases (PostgreSQL, BigQuery, MongoDB, Redis, or similar) and messaging systems (RabbitMQ or equivalent)
- Exposure to financial modeling concepts, valuation methodologies, or pricing frameworks (e.g., discounted cash flow models, asset pricing, risk analytics)
- Experience with containerized deployments and infrastructure (Docker, Kubernetes, Helm, or similar)
Benefits
- Shape products at the frontier of financial analytics and risk management.
- High ownership, high impact role: your code will power real features used by customers.
- True full stack scope: own features across the frontend, the API layer, and the computation engine rather than being boxed into one side of the stack.
- Work with a small, experienced, and ambitious team where learning and growth are encouraged.
- Join one of the most exciting and award-winning fintech startups at an early stage.
Company Overview