Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
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.
Engineering at Brex
The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.
Risk Data Science at Brex
The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers.
What you’ll do
Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions.
Where you’ll work
This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.
Responsibilities
- Drive Data & AI solutions from inception to deployment to efficiently manage risk
- Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring
- Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)
Requirements
- 4+ years of experience in Data Science/ML roles
- Expertise with Python programming, SQL queries, and ML-related frameworks
- Previous experience in the Risk domain (Fraud, AML, and/or Credit)
- Strong communication and interpersonal skills
Bonus points
- Experience working with real-time data sets
- Experience in the finance industry
Compensation
The expected salary range for this role is $176,800 - $221,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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.
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
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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.
