Data Scientist, Risk

Data Scientist, Risk

São Paulo, São Paulo, Brazil

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

In the Risk Data Science team, we leverage 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. 


  • 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)


  • 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
  • English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
  • Must be willing to work in office 2 days per week on Wednesday and Thursday.

Bonus points

  • Experience working with real-time data sets
  • Experience in the finance industry


  • Must be working in Brazil at the start of role

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 domain. Any outreach claiming to be from Brex via other sources should be ignored.