Why join us
Brex empowers the next generation of businesses with an integrated corporate card and spend management software. We make it easy for our customers to manage every aspect of spending and empower their employees to make better financial decisions from anywhere they live or work. Brex proudly serves tens of thousands of growing businesses, from early-stage startups to global enterprises.
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.
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 CAD - $221,000 CAD. 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.
Jobs from our Partners
Software Engineering Supervisor
Software Engineer
DevOps Engineer
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