Senior Software Engineer, Simulation Engineering

Position Overview

• Location Type: [Location Type Not Specified]
• Employment Type: Full-time
• Company: Voleon

Voleon is a technology company applying state-of-the-art machine learning techniques to real-world problems in finance. They are a multibillion-dollar asset manager and are looking for a Senior Software Engineer to contribute to their simulator, used for evaluating and back-testing research ideas. This role involves maximizing simulator performance, scaling simulation runs, and supporting research efforts. The engineer will work closely with the Product Owner, diverse engineering teams, and research teams to build a simulation platform supporting complex trading behaviors. They will also contribute to defining the team's technical roadmap and mentoring other engineers.

Requirements

• Experience with Python and C++ is required.
• Strong understanding of software development principles and practices.
• Ability to collaborate effectively with diverse teams and stakeholders.
• Passion for solving problems through innovation and engineering fundamentals.
• Experience with data pipelines and analysis tools (Python/R) is a plus.

Responsibilities

• Engage in diverse software development work, including algorithm development, data pipelines, and tooling for analyzing experiments.
• Accelerate the company's research efforts by developing a reliable and performant simulator code-base.
• Lead company-spanning complex projects from requirements gathering to implementation and communication.
• Design enhancements to the simulator code-base for back-testing research ideas across global markets and asset classes.
• Build and optimize algorithms for improving the efficiency and reliability of back-testing pipelines.
• Develop and own tooling used to analyze trading performance (Python / R).
• Mentor and develop other engineers on the team.

Salary:

• [Salary Not Specified]

Company Information

• Voleon is a technology company specializing in applying machine learning to finance.
• They are a multibillion-dollar asset manager with ambitious goals for the future.
• The team operates in a collaborative environment that encourages creative thinking and efficient implementation, embracing experimentation.
• The team works alongside experienced engineers and collaborates closely with top machine learning researchers.