Head of Data Science | Credit, Fraud & Pricing

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform.

Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022.

Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022.

About the Role

Come build the future of data science at Ramp! You will lead and grow the Risk Data Science and Analytics Engineering teams, develop the roadmap on reporting, data science products, experimental design, and be responsible for building the platforms and services necessary to support a best-in-class Risk Analytics org. You will partner closely with the Risk Operations team to improve how Ramp makes decisions around underwriting, fraud, experimental design, capital markets, and more. You will partner closely with Risk Engineering on product, data infrastructure, systems design, and how to deploy data science models in production. Ultimately, you will enable Ramp to get 1% better every day by leveraging data to make better decisions and build better products.

What You’ll Do

• Grow, lead, develop, and accelerate Ramp’s risk data science and analytics engineering team (five direct reports on day one)
• Leverage a variety of first and third party data sources to improve how Ramp thinks about underwriting businesses, detecting fraud, pricing new offerings, and ongoing risk management.
• Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
• Develop the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
• Design systems and SLAs that allow risk analytics to capture, move, store, and transform raw data into highly actionable insights with product and data engineering teams
• Contribute to Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

What You Need

• Minimum 3 years of data science management management experience
• Proven leadership of teams that ship high quality data products in production and at scale
• Strong perspective on analytics engineering development cycle (data modeling, version control, documentation and unit testing, best practices for codebase development)
• Strong perspective on data science development cycle (problem definition, EDA + feature engineering, modeling + evaluation, deploy + monitor + iterate in production)
• Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

• PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Experience with consumer or business credit and fraud modeling
• Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents) and data orchestration platforms (Airflow, Dagster, Prefect)
• Familiarity with MLOps/infra required to support data science product solutions
• Familiarity and experience with methods for experimental design and causal inference
• Experience at a high-growth startup

Ramp Benefits (for U.S. based employees)

• 100% medical, dental & vision insurance coverage for you
  • Partially covered for your dependents
  • OneMedical annual membership
• 401k (including employer match)
  • Please note only 401k contributions made while employed by Ramp are eligible for an employer match
• Unlimited PTO
• Annual education reimbursement
• WFH stipend to support your home office needs
• Monthly wellness stipend; Headspace annual membership
• Parental Leave
• Relocation support