Applied Researcher - Quantitative Finance

The role

You will build environments, evaluations, agents, and post-training methods for quantitative research and systematic decision-making. This involves working on research agents, market and portfolio simulators, time-series reasoning, execution, and risk.

What you will do

• Turn workflows into tasks, environments, evaluations, and reward signals
• Run post-training experiments against real baselines and deploy what works
• Work directly with customers, users, or research partners
• Build quantitative-research environments for agents to form hypotheses and run analysis
• Design rewards and evaluations to distinguish durable improvement from artifacts
• Train long-horizon agents to use data, research, coding, simulation, and portfolio tools
• Own environments grounded in point-in-time data and realistic market mechanics
• Develop agents that conduct quantitative research and use analytical tools
• Create verifiers and evaluations that test robust out-of-sample behavior
• Build production loops with monitoring, human authority, and regression gates

Required qualifications

• Depth in RL, agents, or post-training systems
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops
• Strong experimental judgment
• Strong Python
• Ability to build artifacts that other researchers and engineers can run, inspect, and extend
• Comfort owning ambiguous problems

Nice to have

• Prior work in systematic trading, market microstructure, time-series modeling, econometrics, or financial simulation

Benefits

• Cash Compensation Range of $150-300k + equity incentives
• Flexible Work (San Francisco, New York, London, or remote)
• Visa Sponsorship & relocation support
• Professional Development budget
• Team Off-sites & conference attendance

About the company

Prime Intellect is building the open superintelligence stack, providing infrastructure for frontier AI labs. The company has raised $150M in total funding from various investors including Founders Fund and NVIDIA.