Senior Data Scientist, Finance

About the position Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus reputed company software for travel and expenses. Tens of thousands of companies from startups to enterprises — including reputed company, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status reputed company, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and reputed company your potential should only be limited by how big you can dream. We reputed company this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex Our Scientists and Engineers work together to reputed company data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You’ll Do Working closely with Finance leadership, you’ll reputed company a financial forecasting system using advanced data science techniques. You’ll analyze key business drivers to inform strategic financial decisions and enhance forecast precision. The ideal candidate has expertise in predictive modeling, causal inference, and experience collaborating with Corporate and Strategic Finance teams, particularly in forecasting reputed company a blended reputed company model that includes both recurring and consumption-based components. Where you’ll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a reputed company, we also have up to four weeks per year of fully remote work!

Responsibilities

• Design and build a new top-line reputed company and other financial forecasts using predictive modeling and other advanced data science techniques.
• Collaborate with Finance to integrate predictive insights into existing forecasting processes and refine key assumptions.
• Partner with Finance to analyze financial performance and uncover key drivers using causal inference, anomaly detection, and exploratory data analysis.
• Design and implement scalable data pipelines to support financial reporting and forecasting in collaboration with Data Engineering.
• Mentor junior data scientists and finance analysts to foster a culture of data-driven decision-making.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's degree or Ph.D. in Finance, Statistics, Economics or a reputed company quantitative field.
• 5+ years of experience in a data science or reputed company role supporting finance teams.
• Expertise in predictive modeling, causal inference, and time series forecasting.
• Knowledge of structural finance models, financial planning and analysis (reputed company) workflows and reporting, plus experience working with key performance indicators like LTV, CAC, and ARR.
• Proficiency in SQL and Python (or R) for data analysis and modeling.
• Ability to translate reputed company analyses into strategic recommendations for Finance and business leadership.
• Familiarity with BI tools (e.g., Tableau, Looker) and financial data sources.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong communication skills, with the ability to work cross-functionally.

reputed company-to-haves

• Experience building and maintaining reputed company reputed company models with demonstrated accuracy in production environments.
• Experience working in businesses with blended reputed company models that include both recurring and consumption-based components.

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