At a glance
- Pay
- $200k – $300k/yr
- Type
- Full Time
- Location
- New York City, New York+1 more: San Francisco, California
- Posted
- May 13, 2026
- Company size
- Startup (1-50)
- Industry
- Finance/FinTech
About the role
About us
- 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.
Responsibilities
- 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.
Requirements
- 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.
- Comfort working with real-world data (noisy, incomplete, biased) and building pipelines and checks around it.
- Habit of staying current on advances in optimization, quantitative methods, and AI tools—and using those tools (Cursor, Copilot-style assistants, etc.) to increase velocity while keeping code quality high.
Why Join ATG
- We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you.
- Work on AI with a massive market opportunity
- Early team of repeat founders backed by top investors
- High agency, talent dense, zero bureaucracy
About Autonomous Technologies Group
Autonomous Technologies Group
Finance/FinTech · Startup (1-50)
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