Senior Data Scientist, Risk (Remote)

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 Brex and our customers.

We believe that engineers should accelerate the business through technology, and collaborate across multiple teams to accomplish that.

Teams are autonomous, filled with inclusive individuals, eager to learn, teach, constantly improve how things work. The software we build today is the foundation for dozens of Brex systems in the future, so engineers have a strong sense of ownership and accountability and take pride in their craft.

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.

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, productionisation 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
• 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 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 abrex.

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

J-18808-Ljbffr