Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What You’ll Do
Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions.
Responsibilities
- Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.
- Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring.
- Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).
Requirements
- 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field
- Demonstrated ability to own end-to-end model development, including productionization
- Expertise in Python programming, SQL queries, and ML-related frameworks
- Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset
- Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services
- Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical
Nice to Have
- Experience working with real-time models
- Advanced degree (MSc/PhD) or published research in Machine Learning or a related field
- Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)
- Experience in the fintech industry
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Skills Required
- 3+ years of experience in Data Science or Machine Learning roles, or 2+ years with a PhD in a quantitative field
- End-to-end model development experience, including productionization
- Expertise in Python programming, SQL queries, and machine learning frameworks
- Experience applying statistical techniques such as hypothesis testing and A/B testing
- Strong software engineering fundamentals, including API development and integrating machine learning systems into production services
- Strong communication and collaboration skills with technical and non-technical stakeholders
- Experience working with real-time models
- Advanced degree or published research in Machine Learning or a related field
- Experience in fraud, anti-money laundering, credit, or customer-facing machine learning models
- Fintech industry experience
Brex Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brex and has not been reviewed or approved by Brex.
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Fair & Transparent Compensation — Pay is considered competitive for many engineering and senior product roles, with strong total compensation relative to late‑stage tech peers. Flexibility to balance cash and equity has historically reinforced perceptions of market alignment.
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Healthcare Strength — Health, dental, and vision coverage are paired with mental‑health resources like Spring Health and Calm, forming a comprehensive healthcare stack. This combination signals an above‑average mental‑health offering in tech.
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Parental & Family Support — Parental leave is described as generous and is complemented by Carrot fertility support and Milk Stork for nursing parents. These elements indicate a family‑friendly package that exceeds common fintech baselines.
Brex Insights
What We Do
Brex is all-in-one finance for growing businesses. We help companies spend, save, and earn smarter—and take every dollar further—by doing more than a bank, bookkeeping, or reward program could ever do alone. After completing the Y Combinator accelerator program in 2017, Brex has grown to over 600 employees and raised over US $940 million in venture capital. Learn more at brex.com.
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