Role overview

Qualifications

Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Analytics, Economics); Master’s preferred
4+ years of experience in fraud risk, credit risk, or customer risk management within a financial institution or fintech
3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling
3+ years proven experience designing and implementing fraud strategies for unsecured lending products (e.g., personal loans)

Responsibilities

Design, deploy, and optimize fraud rules and strategies using segmentation, statistical analysis, and predictive modeling techniques across personal loans and student loan refinance products
Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities
Own end-to-end fraud mitigation processes, including designing and executing A/B tests and champion/challenger frameworks to evaluate strategy effectiveness
Build and maintain scalable analytical frameworks using Snowflake and dbt, and develop dashboards (e.g., Looker) to monitor KPIs such as fraud rate, approval rate, and false positives

Key facts

Remote from: United States
Full time
Senior (5-10 years)
Fraud Analyst
155 - 155K yearly
English

Other skills

Communication
Analytical Skills
Adaptability
Teamwork
Detail Oriented
Curiosity
Problem Solving

About the company

Earnest

Consumer & Commercial Lending

Earnest is a fintech lender focused on education finance, whose mission is to make higher education accessible and affordable for everyone. Founded in 2013 on the belief that financially responsible people deserve better options and access to credit, Earnest's lending products empower anyone seeking higher education to reduce the total price tag of their education, supercharge their ability to pay down student debt, and get on the right financial track fast. For employees, our remote-first culture is as dynamic as the products we've built, and our values were built into the core of Earnest on day one. These values guide our ship, keeping us constantly aligned with what matters: our clients. - Earn Happy Customers - Better is Better - Ph.D. in Moving Fast - Passion for Challenges - Impact is a Team Sport In addition to a diverse culture, Earnest offers competitive incentives: a $1,000 travel perk to go anywhere in the world on your Earniversary, a generous PTO policy, an annual office stipend for home office set up, awesome swag throughout the year, and much more. Check out Earnest.com/Careers to view our open positions! NMLS #1204197 nmlsconsumeraccess.org

Company details

Company typeScaleup

IndustryConsumer & Commercial Lending

Company size201 - 500

Links

Website LinkedIn See all jobs

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Job description

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.

What You'll Do:

Design, develop, and optimize fraud strategies across personal loans and student loan refinance products
Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities
Develop and deploy fraud rules and strategies using segmentation, statistical analysis, and predictive modeling techniques
Own end-to-end fraud mitigation processes, with accountability for fraud loss reduction and performance outcomes
Design and execute A/B tests and champion/challenger frameworks to evaluate strategy effectiveness
Build and maintain scalable analytical frameworks using tools such as Snowflake and dbt
Develop dashboards and reporting (e.g., Looker) to monitor KPIs such as fraud rate, approval rate, and false positives
Generate actionable insights from structured and unstructured datasets, including limited or noisy data environments
Partner with cross-functional teams (Product, Engineering, Risk, Operations) and external vendors to implement fraud solutions
Leverage internal and third-party data to enhance fraud detection capabilities
Continuously evaluate and refine strategies based on performance metrics and evolving fraud patterns
Communicate insights, strategy performance, and model behavior clearly to stakeholders and senior leadership
Support model development lifecycle, including design, validation, and production deployment

About You:

Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Analytics, Economics); Master’s preferred
4+ years of experience in fraud risk, credit risk, or customer risk management within a financial institution or fintech
3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling
3+ Proven experience designing and implementing fraud strategies for unsecured lending products (e.g., personal loans)
Strong analytical and problem-solving skills with attention to detail
Ability to translate complex data into clear, actionable insights
Effective communicator with experience influencing cross-functional stakeholders
Self-starter with a high degree of ownership, curiosity, and adaptability

Even Better:

Experience with machine learning models (e.g., logistic regression, tree-based models, anomaly detection)
Familiarity with fraud typologies (e.g., synthetic identity, first-party fraud, account takeover)
Knowledge of regulatory frameworks and risk controls (e.g., fair lending, model governance)
Experience with experimentation frameworks and decision systems
Exposure to modern data stack tools (e.g., dbt, Snowflake) and BI tools (e.g., Looker)

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

$124,000—$155,000 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.