该职位来源于猎聘 Position Objective
- We are looking a Senior Development Lead to support the development and launch of computational finance-related applications.
- This role requires deep technical expertise in building high-performance and parallel computing solutions to process complex calculation efficiently. The incumbent will work closely with actuaries, junior software engineers and users to design and optimize robust, scalable applications used in financial modelling and simulation. Roles and Responsibilities:
- Technical field Bachelor's / Master's degree (e.g. Computer Engineering or Computer Science)
- 10+ years software engineer experience (preferrable 5+ years in startup) in developing / launching products, libraries and technologies within the actuarial / financial industry
- Prior experience developing applications in computational finance, quantitative modelling, or risk analysis
- Full-stack skill set across front-end, back-end, infrastructure and DevOps
- With Technical Lead experience, having led 5+ developers' team and driven projects for whole life cycle.
- Proficiency in programming languages like, Python, C++ or Java, with a focus on performance optimization
- Solid understanding of data structures, algorithms, and software design patterns
- Strong experience in parallel programming or distributed computing frameworks (e.g. CUDA, Dask, Ray, Spark etc.)
- Familiarity with multithreading, concurrency, and asynchronous programming
- Experience in the Agile methodologies and software development life cycle (SDLC), including requirements gathering, design, implementation, testing, and deployment
- Experience in profiling, debugging, and optimizing code for performance
- Hands-on experience with cloud-based platforms (AWS, GCP, Azure) for scalable computing solutions
- Knowledge of version control tools (e.g. Git) and CI/CD workflows Preferred Experience
- Experience developing software on Linux
- Familiarity with QuantLib or similar quantitative finance libraries
- Hands-on experience with numerical libraries (e.g., NumPy, SciPy) and tools for financial simulations