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Senior Machine Learning Engineer, Quant & Risk Models

Design the quantitative models behind Exent, portfolio risk, market regimes and signal research, with the rigor of a professional desk and the speed of AI.

SeniorRemoteFull-time

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About the role

Exent’s edge is the math: risk models, market-regime models and analyst-accuracy research that run on every user’s portfolio.

As a Senior ML Engineer you will research, validate and ship those models, using AI to explore far more ideas than a traditional quant team, and your judgment to keep only what holds up out of sample.

What you’ll do

Research and validate models for risk, regimes and signals, with AI agents doing the heavy lifting
Design honest backtests: out-of-sample testing, robustness checks, no look-ahead
Ship models with monitoring for drift and data issues
Explain model behavior clearly, so it can be explained to users
Set the bar for what counts as evidence on the team

What you’ll bring

5+ years in machine learning or quantitative research
Deep experience with time series and financial data
Rigorous validation habits and healthy skepticism of your own results
Daily use of AI agents in research and coding
Experience taking models to production

Nice to have

Hedge fund, prop trading or bank quant experience
Portfolio optimization and risk modeling
A degree in a quantitative field

Stack: Python, NumPy / pandas, AI agents, Postgres, FRED and market data APIs

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