Data Scientist, Risk
This job is no longer accepting applications.
Why join us
Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers.
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.
Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What you’ll do
Our data scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions. Our work, in conjunction with our tech, operations, and fraud teams build systems that minimize or prevent fraud
- Apply your expertise in quantitative analysis, software engineering to build scalable and robust real-time ML models.
- Collaborate with cross-functional teams to unravel complex problems by clearly formulating the problem statement, technical requirements, and present finding at all levels.
- Build internal tools or products to enable direct user interaction with the data sets and build ML systems with human-in-the-loop components.
- Design, execute, analyze, and interpret the results of experiments across our product.
- Alongside business stakeholders and engineers, reconcile crucial data integrity issues.
- Maintain a strong data driven culture within the company by interacting with diverse internal functions.
- 3+ years in a Data Science / ML Engineering / AI Research role
- Expertise in productionizing low latency event-driven data-pipeline and ML models
- Experience contributing code to mission critical systems with strong proficiencies in computer science fundamentals - Data structure / algorithm, design patterns, and testing principles
- Strong interpersonal and communication skills and having worked with different business functions.
- Experience with fraud models or domain knowledge in financial space.
- Experience in implementing sequential decision making models such as multi arm-bandits or reinforcement learning.
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