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Brex is an intelligent finance platform serving over 200 markets, combining corporate cards, banking, spend management, and travel software. The company enables founders and finance teams to accelerate operations with AI-native automation and real-time visibility. Tens of thousands of leading companies including DoorDash, Coinbase, Robinhood, and Zoom rely on Brex.
The Data organization develops infrastructure, statistical models, and products using financial data to drive decision-making, operational efficiency, risk management, and customer experience. The Risk Data Science team specifically leverages data and AI to manage financial risk—fraud, money laundering, and credit—while maintaining a positive customer experience.
As a Data Scientist II in Applied ML, you will own the complete machine learning lifecycle from problem identification through deployment and impact measurement. You'll drive data and AI solutions that efficiently manage risk and improve customer experience, partnering closely with cross-functional teams including Operations, Engineering, Product, Fraud, Compliance, and Credit.
Key responsibilities include: driving end-to-end data and AI solutions from conception to deployment; owning the full ML lifecycle including problem identification, model design, training, productionization, and monitoring; and collaborating with technical and non-technical stakeholders to ensure business impact.
You should have 3+ years of data science/ML experience (or 2+ years with a PhD in a quantitative field), demonstrated ability to own end-to-end model development including productionization, and expertise in Python, SQL, and ML frameworks. Strong statistical fundamentals (hypothesis testing, A/B testing), software engineering skills (API development, production ML systems integration), and communication abilities are essential.
Nice-to-have qualifications include experience with real-time models, advanced degree or published ML research, background in risk domains (fraud, AML, credit) or customer-facing ML, and fintech industry experience.
