Senior Data Scientist, Risk

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 Sao Paulo office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025. when we open our Sao Paulo office. 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
• 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, starting September 1st, 2025 when we open our Sao Paulo office

Bonus points

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

Location

• Must be working in Brazil at the start of role