Senior AI Quant - eFinancialCareers

About Us

We are a multi-strategy hedge fund without a platform safety net. No internal capital allocations to compete for. No bureaucracy to hide behind. No “innovation theater.”

We deploy real capital, take real risk, and expect real results.

Our edge is talent density, speed of thought, and the ruthless compounding of small informational advantages. We are building the next layer of that edge in AI.

That’s where you come in.

The Role

You are not here to “apply AI to finance.”

You are here to weaponize machine intelligence across discretionary, systematic, and hybrid strategies — turning fragmented data, messy signals, and human intuition into durable alpha.

You will:

• Build and deploy production-grade AI/ML models that survive contact with live markets.
• Extract signal from unconventional, structured, semi-structured, and unstructured data.
• Partner directly with PMs across asset classes (equities, credit, macro, derivatives, etc.).
• Design research pipelines that move from idea → backtest → stress test → live capital with minimal friction.
• Help define what AI-native investing looks like inside a non-platform structure.

You will not be:

• Tuning Kaggle models.
• Writing slide decks about “AI transformation.”
• Shipping notebooks that die in research purgatory.

What Makes This Different

• Non-platform economics: You are building long-term firm equity value, not renting capital on annual resets.
• Multi-strategy exposure: Your models won’t live in a silo. They’ll cross-pollinate across books.
• High agency: If you’re right, capital scales. Quickly.
• Direct line to decision-makers: No five-layer research committees.

What We’re Actually Looking For

You probably have:

• 7–15+ years in quant research, AI, ML, or systematic trading.
• A history of shipping live models with meaningful P&L impact.
• Deep fluency in Python and modern ML stacks (PyTorch/JAX, distributed training, data engineering).
• Strong statistical foundations (time series, Bayesian methods, causal inference, optimization).
• Experience working with alternative data and messy real-world signals.
• Comfort operating without a roadmap.

Bonus points if you:

• Have built large-scale training pipelines or inference systems in production.
• Understand market microstructure and execution.
• Have blended discretionary and systematic workflows.
• Have broken something in production and fixed it at 3am.

How We Measure You

• Signal-to-noise ratio of your ideas.
• Speed from hypothesis to capital deployment.
• Sharpe of live models (net of fantasy).
• Your ability to make PMs smarter.
• The number of decisions improved by your work.

Not measured:

• Number of conference talks.
• GitHub stars.
• Fancy degrees (though we like smart people).

What You’ll Get

• Access to deep data, infrastructure, and PM intuition.
• A seat at the table when strategy evolves.

Compensation is designed for adults:

• Competitive base.
• Meaningful performance-linked upside.
• Long-term economics for those who compound.

Who Thrives Here

• Builders who care about P&L more than publications.
• Engineers who think like investors.
• Investors who think like engineers.
• People comfortable being uncomfortable.
• Those who believe AI is not a feature — it’s a new layer of edge.

If you want stability, process, and guardrails — this is not your role.

If you want to help build an AI-native investing engine inside a multi-strategy, non-platform hedge fund — let’s talk.