Data Scientist II: End-to-End ML for FinTech Risk

FDE Times; San Francisco (CA); On-site; USD 152,000 - 190,000; Full time

Job summary

Brex is the intelligent finance platform that enables companies to spend smarter and move faster across markets. The Data organization builds infrastructure and models that turn financial data into real decisions, shaping risk management and customer experiences.

As a Data Scientist, you’ll own the full model lifecycle from concept with stakeholders through production and monitoring, partnering with Ops, Engineering, Product, Fraud, Compliance, and Credit to deliver measurable business impact.

Qualifications

• 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field.
• Demonstrated ability to own end-to-end model development, including productionization.
• Expertise in Python programming, SQL queries, and ML-related frameworks.
• Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset.
• Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services.
• Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical.

Responsibilities

• Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.
• Be responsible for the full machine learning lifecycle - problem identification, model design, training, productionization, and monitoring.
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

Skills

Python programming

SQL queries

ML frameworks

hypothesis testing

A/B testing

productionization of models

APIs

software engineering fundamentals

communication skills

Education

PhD in a quantitative field

Job description

Brex is the intelligent finance platform that enables companies to spend smarter and move faster across markets. The Data organization builds infrastructure and models that turn financial data into real decisions, shaping risk management and customer experiences.

As a Data Scientist, you’ll own the full model lifecycle from concept with stakeholders through production and monitoring, partnering with Ops, Engineering, Product, Fraud, Compliance, and Credit to deliver measurable business impact.