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.

Operations at Brex

The Operations team is the bridge between our product and our customers. Our priority is to keep our customers happy and their businesses protected, while delivering vital information back to our internal teams. We are responsible for underwriting all of our customers, while simultaneously managing Brex’s risk exposures. We work cross-functionally with Risk, Compliance, Data, and Engineering to allow Brex to scale efficiently, keeping quality top of mind.

What you’ll do

The Enterprise Risk Analytics team is an analytics team embedded within the Operations organization responsible for creating and maintaining the First Line of Defense financial crime controls that protect Brex and our customers. As a fraud analyst, you'll delve deep into urgent fraud cases to protect our customers and our company's assets. By staying at the forefront of emerging fraud patterns and trends, especially card fraud, you'll craft rules and interventions to proactively identify and counteract fraudulent activities. Your expertise will be instrumental in striking the balance between robust fraud prevention and optimal customer experience.

Responsibilities

• Develop and implement dynamic fraud detection rules based on ongoing analysis of fraud patterns and trends.
• Regularly review and fine-tune existing fraud detection rules to ensure maximum efficiency while minimizing false positives.
• Work closely with Operations, Product, Engineering, and Data Science teams to develop and enhance fraud detection tools and systems.
• Create comprehensive reports detailing fraud cases, findings, and rule performance for internal stakeholders.
• Write and present proposals for new fraud tools, systems, or partnerships to enhance our capabilities.

Requirements

• Bachelor’s degree in a related field such as Finance, Economics, Data Science, or Statistics.
• Minimum of 1 year of experience in a similar analytical role, preferably in financial services industry.
• Proficient in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent written and verbal communication skills, with the ability to translate complex data into understandable insights and reports.
• Excellent cross-functional collaboration skills.
• Proactive attitude and the ability to work independently, manage multiple projects, and meet deadlines.
• Desire to work in a fast-paced environment and adapt to changing requirements.

Bonus points

• Experience with machine learning, especially as applied to fraud detection.
• Experience with international fraud patterns and prevention strategies.