Ramp

Senior Applied Scientist | Credit Risk

New York, New York, United States

$183,600 – $252,500Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Financial Services, SaaSIndustries

Job Description: Applied Scientist, Credit

Salary: $183.6K - $252.5K Location Type: Hybrid Employment Type: Full-Time

About Ramp

Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent.

More than 30,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $2B and 20M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $55 billion in purchases each year.

Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, 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 has been named to Fast Company’s Most Innovative Companies list and LinkedIn’s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.

About the Role

We’re looking for someone to help lead the future of credit applied science at Ramp. The Applied Science team at Ramp creates value by building the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results through improving our Credit Risk decisioning systems. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.

Applied scientists at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.

What You’ll Do

  • Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production and evaluating their business impact.
  • Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results.
  • Improve model performance through new and improved data sources (e.g., accounting and bank statement parsing), advanced feature engineering, and model architecture enhancements.
  • Ship production-grade ML pipelines including backtesting, retraining, drift monitoring, and business metric attribution.
  • Design model evaluation and reporting frameworks that satisfy both internal stakeholders and external banking partners.
  • Contribute to strategic decisions around risk policy and product expansion through ML-backed insights.
  • Collaborate cross-functionally with engineering, product, and risk strategy teams to integrate models and optimize customer-level outcomes.

What You Need

  • Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields.
  • For candidates with Bachelor's and Master's, minimum of 5 years of industry experience as a Data Scientist, Applied Scientist, or equivalent.
  • Experience working with large datasets in Python and SQL.
  • Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference.
  • Experience developing, deploying, and maintaining ML systems, including understanding of model performance monitoring, retraining, and feedback loop management in live environments.

Skills

Credit Risk Modeling
Data Science
Machine Learning
Python
SQL
Statistical Modeling
Financial Services
Product Development
Cross-functional Collaboration
Stakeholder Management

Ramp

Corporate card and spend management platform

About Ramp

Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.

New York City, New YorkHeadquarters
2019Year Founded
$1,096.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Competitive salaries: You never have to wonder how your pay compares. Our generous comp reflects our belief that you’ll take Ramp to the next level.
Comprehensive health plans: US-based employees get full medical, dental, and vision insurance coverage. Everyone gets a monthly stipend for personal wellness.
Professional development: Take advantage of our annual education stipends to stay on top of your personal growth.
Unlimited PTO: Flexible vacation days give you the time to step away, unwind, and recharge.

Risks

Increased competition from fintech startups could challenge Ramp's market position.
Economic downturns may reduce business spending, affecting Ramp's revenue streams.
The volatile travel industry poses risks to Ramp's new travel booking services.

Differentiation

Ramp integrates with popular tools like Slack and Workday for seamless financial operations.
The platform offers advanced accounting automations, reducing manual work for finance teams.
Ramp's use of stablecoins and modern financial instruments sets it apart from competitors.

Upsides

Ramp's integration with Workday enhances real-time data syncing and accounting automation.
The partnership with Priceline expands Ramp's services into the growing business travel sector.
Ramp's recent $750 million funding boosts its capacity for innovation and market expansion.

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