系统架构师(Java/Python)

1 week ago

Guangzhou, Guangdong, China 友邦科技 Full time CN¥120,000 - CN¥240,000 per year

该职位来源于猎聘 Roles And Responsibilities

  • Design and develop computational finance applications with a focus on performance, scalability, and accuracy.
  • Implement high-performance and parallel computing solutions to optimize computationally intensive tasks.
  • Collaborate with actuarial teams to integrate financial models and simulations into scalable software systems.
  • Write clean, efficient, and maintainable code using best software engineering practices.
  • Conduct performance analysis, profiling, and optimizations to improve system throughput and latency.
  • Architect software systems that are modular, extensible, and maintainable
  • Design and implement APIs and libraries to support financial calculations and simulations.
  • Document technical decisions, development processes, and optimization results.
  • Keep up to date of emerging trends and technologies in high-performance computing, parallel processing.

Job Requirements

  • Technical field Bachelor's / Master degree (e.g. Computer Engineering or Computer Science)
  • 10+ years software engineer experience in developing / launching products, libraries and technologies within the actuarial / financial industry.
  • 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 systems (e.g. CUDA).
  • Strong experience in GPU programming, vectorization, or other hardware acceleration techniques.
  • 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
  • Prior experience developing applications in computational finance, quantitative modelling, or risk analysis
  • Hands-on experience with numerical libraries (e.g., NumPy, SciPy) and tools for financial simulations
  • Knowledge of modern frameworks for distributed systems like, Dask or Spark

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