Superintelligent financial advisor. Backed by Y Combinator.
About the role
Design and implement core quantitative systems for allocation, risk, and optimization in complex, real-world environments. Formulate and analyze multi-objective optimization problems (e.g., risk/return, constraints, transaction and implementation frictions) and turn them into robust, solvable formulations.
What they're looking for
- Strong quantitative background (e.g., mathematics, physics, computer science, operations research, statistics, or similar)
- Deep expertise in at least one of: optimization (convex/non-convex), stochastic processes, numerical methods, or quantitative finance
- Experience designing and implementing quantitative or algorithmic decision systems (research + production, not just toy models)
- Proficiency in Python and familiarity with scientific/ML tooling (NumPy, JAX/PyTorch, Pandas, etc.), experience with a systems language (C++/Rust/Go) is a plus
- Ability to reason from first principles, simplify complex objective spaces, and choose the right level of modeling detail for the problem
- Track record of turning mathematical ideas into clean, reliable, well-tested code that can run in production
More about this role
ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets.
Founders: Early GPU cloud (9 figure exit).
Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels.
Design and implement core quantitative systems for allocation, risk, and optimization in complex, real-world environments.
Formulate and analyze multi-objective optimization problems (e.g., risk/return, constraints, transaction and implementation frictions) and turn them into robust, solvable formulations.
Develop simulation, backtesting, and evaluation frameworks to understand system behavior under varying regimes and stress scenarios.
Collaborate closely with engineers and product to integrate quantitative logic into reliable, maintainable services and APIs.
Prototype new approaches quickly, run experiments, and iterate based on empirical results.
Establish standards for model quality, validation, monitoring, and numerical stability in production systems.
Document assumptions, constraints, and design rationales so the broader team can build on your work.
Strong quantitative background (e.g.,...
Read the full posting on Autonomous Technologies Group's site ↗
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area