Full Stack Founding Engineer in Hedge Fund Analytics Startup

We are looking for a strong founding engineer to join Bayesline as an early, high-leverage member of the team.

This is a generalist role for someone who is strongest in building product and systems end-to-end, and who is comfortable moving across a Python-first, API-driven analytics platform. A meaningful part of the role will involve shaping a sophisticated user-facing product, so strong product and UI judgment matters, but this is not a front-end-only role.

This is not a greenfield build. You will be joining an existing codebase with substantial functionality and real product complexity already in place. The opportunity is to improve, extend, and unify a fast-moving platform used for portfolio risk, performance attribution, scenario analysis, custom factors, dashboards, and chart-driven workflows.

You will work directly with the founders and alongside our founding engineer on a small, high-agency team. This role is best suited to someone who is comfortable working independently, making sound technical and product decisions, and taking broad ownership without relying on a large, specialized organization around them.

What We’re Looking For

• Strong software engineering fundamentals and experience building real products end-to-end, including front-end

• Comfort operating as a generalist across product, backend, APIs, and user-facing systems

• Experience shipping complex, data-heavy applications rather than simple CRUD apps

• Strong product instincts and sound judgment around front-end architecture

• Comfort working in a Python-first, API-driven environment with React and Typescript front-end and actively building across both the back and front-end as part of the role

• Comfort using AI in day-to-day development, with the judgment to evaluate and improve AI-generated code and ideas

• Excitement for early-stage environments with high ownership, ambiguity, and close collaboration with technical founders

Strong Plus If You Have

• Experience building analytics, fintech, data platform, BI, developer-tool, or AI / ML-heavy products

• Familiarity with institutional investing, portfolio analytics, risk, or quantitative workflows

• Experience working on data-intensive, numerical, or compute-heavy systems

• Experience working in small teams where you are expected to own a surface area independently

Current Stack

• React + TypeScript on the front end

• A Python-first backend environment built around FastAPI / Pydantic

• GPU-accelerated analytics infrastructure built with JAX / Flax

• Modern platform and data infrastructure, including PostgreSQL, Redis, and Kubernetes

• API contracts auto-generated from the Python backend into TypeScript

What Success Looks Like

• You become a high-trust engineering owner across important parts of the Bayesline platform

• The product becomes more scalable, maintainable, and polished as the platform grows

• Users can move quickly through complex workflows with confidence

• AI-assisted and automated workflows improve both speed and rigor

• You raise the bar on engineering quality and product judgment across the team

Why Join

• Help build the modern alternative to legacy incumbents like Barra and Aladdin

• Work directly with founders who have built institutional analytics systems from the inside at BlackRock and Bloomberg

• Join early, with real ownership over both the product and the platform rather than a narrow slice of a larger organization

• Tackle hard problems in performance, AI, data-heavy product design, and analytical usability

• Build software for sophisticated institutional users where product quality and correctness both matter deeply

• Have a meaningful hand in shaping what Bayesline can become beyond its initial risk-model wedge