Optimization Research Scientist

Voleon; Berkeley (CA); Hybrid; USD 180,000 - 250,000; Full time

Job summary

Voleon is seeking a researcher to contribute to optimization modeling and production-ready algorithms that guide trading decisions. You will work with experts in AI/ML research and finance, turning academic ideas into scalable solutions used in live markets.

The role emphasizes collaboration, rigorous mathematical work, and continuous learning within a hybrid-work environment and a team of seasoned researchers and engineers.

Qualifications

• PhD-level coursework is required for this role.
• Strong background in optimization and mathematical methods.
• Experience with stochastic control and reinforcement learning is essential.
• Interest in software development and production-level code (Python/C++ preferred).
• Excellent mathematical abilities demonstrated through publications or coursework.
• Ability to work in collaborative, diverse teams.
• Interest in financial applications is helpful but not mandatory.

Responsibilities

• Develop and improve large-scale constrained optimization methods for trading decisions.
• Design, validate, and productionize new models for live trading environments.
• Create experiments to evaluate model performance and simulate outcomes.
• Collaborate with Research Staff and Software Engineers across the lifecycle of projects.
• Stay current with latest academic research and identify applicable approaches.

Skills

Optimization

Stochastic control

Reinforcement learning

Mathematical abilities

Python

C++

Team collaboration

Education

PhD coursework required

PhD degree preferred

Tools

Python

C++

Job description

Voleon is seeking a researcher to contribute to optimization modeling and production-ready algorithms that guide trading decisions. You will work with experts in AI/ML research and finance, turning academic ideas into scalable solutions used in live markets.

The role emphasizes collaboration, rigorous mathematical work, and continuous learning within a hybrid-work environment and a team of seasoned researchers and engineers.