Product Software Engineering - Quantitative Modeling
Develops product demos for quantitative modeling system in finance and scientific research, productizing research software by implementing use-case applications, identifying strengths/limitations, and improving the product. Requires experience commercializing research software and applied mathematical modeling.
About the job
Responsibilities
- Work with product team to define new features
- Define implementation strategies, and work with others to implement them
- Deliver defined features with a user oriented mindset
- Leverage the expertise of other team members effectively
- Write design documents for more complex problems
- Write clean and performant code
- Help other team members to deliver on their goals
Useful Experience
- Experience in turning research software into product
- Applied mathematical modeling in finance and/or scientific applications
- Experience in a collaborative, commercial software engineering environment, working on large codebases and using practices like CI/CD, testing, and code reviews
- Strong foundation in computer science algorithms and data structures
- Julia, or usage of some more functional or typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell
- Profiling and performance optimisation
- Mathematics, Computer Science, or Statistics advanced degree
Skills
Julia, Rust, Ocaml, Clojure, C++, Haskell, CI/CD, Algorithms, Data Structures, Profiling
Similar jobs
Fullstack Engineering jobsSoftware Engineer building end-to-end financial data platform features including ingestion, transformation, automation engines, reporting, monitoring, and AI-driven workflows. Requires CS degree and 4+ years software engineering experience; onsite in SF or NYC.
Product engineer building the modern AI-first platform for accounting and finance. Tackles foundational data automation, transformation, and reporting challenges in a complex domain. Requires 5+ years software engineering experience and a bachelor's in CS, Math or Philosophy.
Build scalable full-stack web applications across frontend and backend layers using React, TypeScript, Python, GraphQL, and FastAPI. The role requires at least three years of full-stack development experience and offers hybrid work in San Francisco.
Product Engineer responsible for building Bolter’s AI agent runtime, workspace, generated applications, and production reliability systems. The role requires strong full-stack TypeScript experience, product judgment, rapid prototyping ability, and depth in AI systems, real-time infrastructure, or developer tooling.
Build and scale full-stack Creative and Studio products spanning APIs, user interfaces, infrastructure, and generative AI workflows. The role emphasizes product ownership, solving complex engineering problems, and expertise in Python, TypeScript, and React; no formal degree or experience requirement is specified.