Senior Applied Scientist, Credit Risk

Ramp

Remote Actively hiring
New York City, NY · Remote (USA) Posted 18 days ago $165,800–$228,000 / year
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At a glance

AI generated

TL;DR

As a Senior Applied Scientist at Ramp, you will join the credit risk team to design and optimize machine learning models that support decision-making and portfolio management. Your day-to-day involves owning the entire lifecycle of applied science projects, from data exploration and feature development to model deployment and monitoring. You’ll work closely with cross-functional teams to translate complex business challenges into actionable insights and develop frameworks for evaluating model performance. Ideal candidates have a strong background in quantitative fields, 5+ years of industry experience as an Applied Scientist or equivalent, and expertise in Python, SQL, and machine learning libraries like scikit-learn and PyTorch. The role requires excellent communication skills to bridge technical methodologies with business strategy, and a track record of delivering scalable machine learning solutions in production environments.

Skills

Python SQL NumPy pandas scikit-learn PyTorch Machine Learning Statistics Optimization Economics Data Modeling Version Control Documentation Testing CI/CD Airflow Dagster Prefect

What you'll do

  • Design and optimize machine learning models for credit risk decisioning.
  • Develop and integrate new data sources into credit models.
  • Create frameworks to evaluate model performance and business impact.
  • Apply advanced statistical methods to solve core business problems.
  • Communicate data-driven insights that influence product and company strategy.
  • Collaborate with stakeholders to translate ambiguous problems into clear objectives.

What we're looking for

  • 5+ years of industry experience in applied science or equivalent with a PhD
  • Strong expertise in advanced statistics, machine learning, optimization, and economics
  • Proficiency in Python for data analysis, predictive modeling, and machine learning
  • Experience working with large datasets using SQL and relevant libraries like NumPy, pandas
  • Track record of deploying high-quality machine learning models at scale
  • Ability to communicate complex technical concepts to non-technical stakeholders

Market check

Salary context

This $165,800–$228,000 range sits above 66% of similar postings on FindRole.

Peer median band

$122,372–$220,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$135,000–$205,250

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Ramp

Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management

Ramp currently has 30 open roles on FindRole.

Listed pay typically runs $168,000–$287,450 across 30 roles with salary data.

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View all roles at Ramp

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