Senior Software Engineer, Simulation Engineering

Job Description

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. 

As a Senior Software Engineer on our Simulation and Portfolio Engineering team, you will contribute to our simulator, which is used across the company to evaluate and back-test research ideas. This includes various efforts ranging from realizing the maximal performance of the simulator, improving our ability to run thousands of simulations in parallel and at scale, and supporting/evaluating nascent research efforts. 

You will work with our Product Owner for Simulation Engineering to design, scope, and deliver large scale projects within the team. You will collaborate closely both with a diverse group of engineers across multiple teams and with stakeholders on research teams to contribute to a simulation platform that supports a diverse set of requirements and complex trading behaviors.

Over time, you will help defining the team's technical roadmap towards achieving strategic-level engineering goals, and participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture.

Your Team
We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. As one of the most research-adjacent teams in the company, you and your team will collaborate closely with top machine learning researchers.



Responsibilities
  • Engage and collaborate in diverse software development work, ranging from algorithm development to working on data pipelines and building tooling for analyzing experiments
  • Accelerate the company's research efforts through the development of a reliable and performant simulator code-base
  • Lead company-spanning complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with collaborators and teammates across the company
  • Design enhancements to our simulator code-base, used to back-test research ideas across a global set of markets and asset classes (Python / C++)
  • Build and optimize algorithms for improving the efficiency and reliability of our back-testing pipelines. (Python / C++)
  • Develop and own tooling used to analyze trading performance (Python / R)
  • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

  • Requirements
  • 5+ years of software engineering experience building highly performant systems
  • Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
  • Hands-on experience developing in a Linux/UNIX environment
  • Excellent communication and project management skills and a proven ability explain to complex ideas with clarity and simplicity
  • Track record mentoring engineers and leading technical direction
  • Familiarity with techniques and approaches from optimization, algorithms, and statistics.
  • Experience with runtime profiling and performance optimization on large code-bases. (Python / C++)
  • Exposure to modern python data science tooling (pandas, polars, duckdb etc)
  • Computer Science degree, or equivalent experience


  • Preferred Qualifications
  • Exposure to tooling for running automated workflows (e.g.: airflow, docker, kubernetes), and general HPC experience
  • Experience with performance improvements using GPUs