Senior Data Scientist, Finance

in Finance, Statistics, Economics or a related quantitative field.

5+ years of experience in a data science or related role supporting finance teams.

Expertise in predictive modeling, causal inference, and time series forecasting.

Knowledge of structural finance models, financial planning and analysis (FP&A) 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 complex analyses into strategic recommendations for Finance and business leadership.

The expected salary range for this role is $192,000 - $240,000. 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.

Design and build a new top-line revenue 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.