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EA

Earnest

via Greenhouse

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Senior Quantitative Risk Analyst

Anywhere
full-time
Posted 8/22/2025
Direct Apply
Key Skills:
Data Analysis
SQL
Python
Statistical Modeling
Loss Forecasting
Data Visualization
Business Intelligence Tools
Excel
PowerPoint
Analytical Thinking
Communication
Presentation Skills
Detail-Oriented
Intellectual Curiosity
Multi-Priority Management

Compensation

Salary Range

$126K - 158K a year

Responsibilities

Lead loss forecasting and monitor credit metrics across multiple loan products. Prepare and present portfolio forecasts and credit performance updates to executives and regulatory bodies.

Requirements

3+ years in a data-driven role, ideally within credit or fraud risk, with strong proficiency in SQL and Python. Experience with loss forecasting in consumer lending products and skilled in data visualization tools is preferred.

Full Description

Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast. We build tools that help people feel in control of their financial future, including: Private student loans - low rates, people-first service, and flexible payments. Student loan refinancing - break free from high-interest rates or monthly payments. Scholarships - access to thousands of scholarships to help students pay less. Earnies are committed to helping students live their best lives, free from the stress of student debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together! The Senior Quantitative Risk Analyst position will report to Senior Credit Oversight Manager. As the Senior Quantitative Risk Analyst, you will: Lead loss forecasting by leveraging data science models and applying business overlays to project portfolio performance. Monitor and analyze credit metrics across multiple loan products, identifying key risks, trends, and opportunities. Prepare and present portfolio forecasts and credit/fraud performance updates to executives, the Board, and rating agencies. Validate and challenge credit and fraud risk models to ensure methodological soundness, transparency, and regulatory compliance. Partner cross-functionally with Finance, Capital Markets, and Data Science to align risk insights with business strategy. About You: 3+ years in a data-driven role, ideally within credit or fraud risk. Strong proficiency in SQL for data extraction and Python for statistical modeling and analysis. Experience with loss forecasting, particularly in consumer lending products. Skilled in data visualization and BI tools (e.g., Looker, Tableau) as well as Excel and PowerPoint. Strong analytical thinker with excellent communication and presentation abilities. Detail-oriented, intellectually curious, and able to manage multiple priorities under tight deadlines. Even Better: Experience in student loans, personal loans, or credit cards. Familiarity with regulatory compliance in the lending industry. Prior exposure to risk model development or enhancement. Background in efficiency improvements and automation. Ability to independently research and implement innovative modeling approaches. Where: This role will be based in the US. #LI-KB1 A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate’s starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future. Pay Range $126,000—$158,000 USD Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including: Health, Dental, & Vision benefits plus savings plans Mac computers + work-from-home stipend to set up your home office Monthly internet and phone reimbursement Employee Stock Purchase Plan Restricted Stock Units (RSUs) 401(k) plan to help you save for retirement plus a company match Robust tuition reimbursement program $1,000 travel perk on each Earnie-versary to anywhere in the world Competitive days of annual PTO Competitive parental leave What Makes an Earnie: At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other: Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success. Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience. Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement. Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team. Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient. At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for. Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

This job posting was last updated on 8/23/2025

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