Rate

About Rate
Rate is building one of the industry’s most ambitious consumer lending platforms. While our foundation was built in mortgage, we’re rapidly expanding into a diversified Consumer Lending ecosystem that includes Home Equity, Personal Loans, Point-of-Sale financing, and future consumer credit products.
We’re looking for an analytics expert who will bring analytical rigor to fraud strategy and risk management across that ecosystem.
The Role
We’re seeking a Fraud Analytics Manager, Consumer Lending to apply data analytics to fraud and identity risk, informing a more robust fraud defense strategy across products as Rate scales its Consumer Lending business.
In this role, you’ll dig deep into data, conduct analysis, surface actionable insights, and develop recommendations that sharpen fraud defenses while minimizing customer friction.
Working across Product, Engineering, Credit Risk, Data Science, Operations, Finance, and Compliance, you’ll help build scalable fraud capabilities and decision strategies that become a meaningful competitive advantage for our Consumer Lending business.
This is a builder role for someone who enjoys exploring new data and capabilities, identifying high-impact opportunities, and helping create robust fraud strategies from the ground up.
What You’ll Do
Drive Fraud Analytics and Portfolio Performance Insights
<ul>
<li>Monitor and analyze key fraud metrics—loss rates, capture rates, false-positive rates, approval and funding impact, vintage and segment KPIs, and disposition mix—to spot emerging trends and areas of weakness across lending products, acquisition channels, and customer segments.</li>
<li>Elevate the analytical framework and apply data, ML/AI models, and advanced analytics to continually strengthen fraud decision strategies.</li>
<li>Identify gaps in fraud capabilities across application, funding, and account/post-book fraud—covering identity, synthetic, first-party, third-party, account takeover, and APP scams.</li>
<li>Assess potential third-party solutions and capabilities to mitigate fraud and identity risk.</li>
</ul>
Enhance Consumer Lending Fraud Strategy
<ul>
<li>Recommend changes to verification standards and fraud decisioning to mitigate fraud risk.</li>
<li>Implement automated, score-based fraud decisioning that reduces reliance on manual review.</li>
<li>Develop modern fraud prevention strategies that enable fast, confident lending decisions while minimizing customer friction.</li>
<li>Improve conversion, funding speed, and customer experience through intelligent decision architecture that balances loss mitigation against volume, unit economics, and customer experience.</li>
<li>Evaluate emerging fraud trends and continuously strengthen fraud controls using data, technology, and third-party solutions.</li>
<li>Design challenger strategies and test-and-learn agendas that generate the data needed to improve fraud decisioning, evaluate potential solutions, and support new model development—ensuring each test can quantify the impact of strategy changes on fraud, approvals, funding, and downstream performance.</li>
</ul>
What We’re Looking For
<ul>
<li>5+ years of experience in fraud strategy, consumer risk strategy, or related functions within consumer lending.</li>
<li>Experience designing and implementing fraud strategies for digital consumer lending products, with a track record of delivering measurable improvements in fraud loss, approval rates, and customer experience.</li>
<li>Experience in residential lending (mortgage or home equity) and unsecured lending (personal loans or credit card) is preferred.</li>
<li>Solid understanding of modern fraud decisioning, automated risk management, and digital lending operations.</li>
<li>Solid understanding of fraud typologies in consumer lending—identity, synthetic, first-party, third-party, account takeover, bust-out, never-pay, credit washing, APP scams, and income/employment misrepresentation—and how they manifest across application, funding, and account data.</li>
<li>Strong hands-on analytical and data skills, including proficiency in SQL and Python for data extraction, manipulation, and analysis.</li>
<li>Proven ability to harness large datasets and translate analytical insights into scalable business strategies that drive measurable outcomes.</li>
<li>Ability to leverage AI tools to improve efficiency and deepen analytical insight.</li>
<li>Comfort operating in a fast-paced, entrepreneurial environment where new ideas move quickly from concept to execution.</li>
</ul>
Why This Role Matters
Consumer Lending is a strategic growth priority for Rate, and intelligent decisioning will be a core differentiator as we continue to expand our portfolio.
Developing robust fraud strategies across consumer lending products will enable faster decisions, stronger portfolio performance, better customer experiences, and scalable growth—helping build one of the industry’s most innovative consumer lending platforms.

Fraud Analytics Manager, Consumer Lending

Fraud Analytics Manager, Consumer Lending

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