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Credit Risk Fraud Analyst Jobs in Virginia (NOW HIRING)

You will own core analytical infrastructure that underpins how we improve credit strategy, evaluate ... Develop repeatable frameworks for evaluating tradeoffs between conversion, risk, yield, and ...

... fraud, authorizations, disputes, credit line management, and collections. VCA team is looking for ... This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ...

Sr. Business Manager - Fraud Summary: Summary: The Sr. Business Manager will be a member of the ... based on rigorous analytic marketing & credit risk management * Strong business judgment ...

Sr. Business Manager - Fraud Summary: Summary: The Sr. Business Manager will be a member of the ... based on rigorous analytic marketing & credit risk management * Strong business judgment ...

SUMMARY Analyzes credit worthiness and credit risk of commercial borrowers, including review of financial statements and cash flow analysis. Monitors the quality of various commercial loans and ...

SUMMARY Analyzes credit worthiness and credit risk of commercial borrowers, including review of financial statements and cash flow analysis. Monitors the quality of various commercial loans and ...

Credit Administration Manager

Reston, VA ยท On-site

$165K - $195K/yr

Description John Marshall Bank is seeking a seasoned Credit professional to lead our credit risk assessment, loan monitoring and policy compliance, portfolio analytics, stress testing, and allowance ...

Credit Administration Manager

Reston, VA ยท On-site

$165K - $195K/yr

John Marshall Bank is seeking a seasoned Credit professional to lead our credit risk assessment, loan monitoring and policy compliance, portfolio analytics, stress testing, and allowance for credit ...

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Credit Risk Fraud Analyst information

How does a Credit Risk Fraud Analyst typically collaborate with other departments to minimize fraud losses?

Credit Risk Fraud Analysts work closely with teams such as IT, compliance, customer service, and operations to identify, investigate, and mitigate fraudulent activities. They regularly communicate findings from data analysis to these departments, ensuring that suspicious patterns are addressed promptly. Collaboration often includes participating in cross-functional meetings, sharing insights on emerging fraud trends, and helping to develop new prevention strategies. This teamwork is essential for creating a holistic approach to managing risk and protecting both the organization and its customers.

What are the key skills and qualifications needed to thrive as a Credit Risk Fraud Analyst, and why are they important?

To thrive as a Credit Risk Fraud Analyst, you need strong analytical skills, a background in finance or statistics, and a solid understanding of risk management principles. Familiarity with fraud detection software, data analysis tools like SQL or Python, and relevant certifications such as Certified Fraud Examiner (CFE) are typically required. Strong attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills are crucial for accurately identifying fraudulent activities, minimizing losses, and maintaining the integrity of financial institutions.

What is the difference between Credit Risk Fraud Analyst vs Credit Analyst?

AspectCredit Risk Fraud AnalystCredit Analyst
Primary FocusDetecting and preventing fraud related to credit riskAssessing creditworthiness of borrowers
Skills & CertificationsFraud detection, risk assessment, certifications like CFECredit analysis, financial statement evaluation, certifications like CFA or CCFA
Work EnvironmentFinancial institutions, fraud prevention teamsBanks, lending companies, credit departments
Industry UsageHigh in fraud prevention and risk managementHigh in lending and credit approval processes

While both roles involve credit assessment, the Credit Risk Fraud Analyst specializes in identifying and preventing fraudulent activities related to credit, whereas the Credit Analyst focuses on evaluating a borrower's creditworthiness to approve loans. Understanding these differences helps in choosing the right career path or job search focus.

What does a Credit Risk Fraud Analyst do?

A Credit Risk Fraud Analyst is responsible for identifying, assessing, and mitigating risks related to credit fraud within financial institutions. They analyze transaction patterns, customer profiles, and credit data to detect suspicious activities or potential fraud. Their work involves using analytical tools and data models to monitor accounts, investigate anomalies, and recommend controls to prevent losses. By staying updated on emerging fraud trends, they help protect the company and its customers from financial crimes.
What are popular job titles related to Credit Risk Fraud Analyst jobs in Virginia? For Credit Risk Fraud Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Credit Risk Fraud Analyst jobs in Virginia look for? The top searched job categories for Credit Risk Fraud Analyst jobs in Virginia are:
What cities in Virginia are hiring for Credit Risk Fraud Analyst jobs? Cities in Virginia with the most Credit Risk Fraud Analyst job openings:

Senior Credit Risk Manager

Lendable

Arlington, VA โ€ข On-site

Full-time

Medical, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role.

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the worldโ€™s leading fintech companies and are off to a strong start:

  • One of the UKโ€™s newest unicorns with a team of just over 700 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, weโ€™ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customersโ€™ hands in minutes instead of days.

Weโ€™re growing fast, and thereโ€™s a lot more to do: weโ€™re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About the Role

Weโ€™re looking for a highly analytical, technically strong Senior Credit Manager to join our U.S. team.

In this role, you will help drive a step-change in how we measure, test and understand the performance of our U.S. loans business. Youโ€™ll work horizontally across Credit, Data Science, Product, Engineering and Capital Markets to ensure we are making statistically sound, customer-friendly and commercially intelligent decisions.

This is a high-impact, high-autonomy role. You will own core analytical infrastructure that underpins how we improve credit strategy, evaluate tradeoffs, and scale profitably. The role is ideal for someone who thrives in ambiguity, is comfortable going deep into technical detail, and can translate rigorous analysis into decisions that move the business.

What youโ€™ll be doing

1) Own our Testing Ecosystem (Experimentation + Statistical Rigor)

  • Own the end-to-end testing ecosystem for credit and product decisions including experimentation design, implementation standards, and result interpretation

  • Ensure we are collecting the right data, in the right structure, to answer high-priority questions

  • Establish statistically sound testing practices across teams

  • Develop repeatable frameworks for evaluating tradeoffs between conversion, risk, yield, and customer outcomes

  • Partner with Product/Engineering to ensure experimentation tools and logging support robust measurement (not fragile analyses after the fact)

2) Build Best-in-Class Monitoring & Analytics Suite (Performance + Economics)

  • Build and own a cohesive monitoring and analytics suite that provides a nuanced, end-to-end view of the business

  • Ensure we have clear visibility into credit performance, unit economics, funnel & underwriting performance

  • Develop tooling that lets us diagnose issues early and confidently

  • Create a โ€œsingle source of truthโ€ performance narrative that can be relied on by senior leadership for decision making

3) Drive Portfolio Valuation & Forecasting (Decision Support Across the Business)

  • Help build and continuously improve our approach to portfolio valuation, performance forecasting, and expectation-setting

  • Produce credible valuations / forward-looking performance views that inform:

    • Credit strategy and policy changes

    • Capital markets funding conversations

    • Growth scaling decisions

    • Product prioritisation and roadmap tradeoffs

  • Ensure valuation approaches are grounded in high-quality assumptions, are transparent, and are calibrated to observed performance
    Build clear frameworks for answering: what is the portfolio worth, how does it change under different strategy choices, and where are we taking risk?

4) Be Hands-On With Data & Influence Decision Making

  • Be comfortable being hands-on with data: drive your own analysis, build models/tools where needed, and turn analysis into crisp recommendations (SQL required; Python strongly preferred)

  • Communicate complex insights clearly to technical and non-technical stakeholders

  • Operate with an ownership mindset: identify the biggest analytical blind spots and drive improvements proactively (not only when asked)

What weโ€™re looking for

Essential skills

  • Strong hands-on analytics ability โ€” comfortable pulling data yourself and using it to drive decisions (strong SQL & Python required)

  • Deep understanding of experimentation, measurement, and statistical inference (power, significance, bias, causality, segmentation, guardrails)

  • Strong understanding of credit performance and unit economics in lending

  • Experience building monitoring / performance reporting and diagnosing portfolio performance changes

  • Strong commercial judgment: can balance customer outcomes and business profitability; comfortable with ambiguity and tradeoffs

  • Strong stakeholder management and communication โ€” able to influence cross-functionally and up to senior leadership

  • Ownership mindset and high standards for analytical quality and integrity

Desirable

  • Experience in U.S. personal loans, ideally in FinTech

  • Familiarity with underwriting strategy, risk models, and credit policy design

  • Experience partnering with Capital Markets / finance stakeholders on valuation, forecast, or funding decisions

  • Experience working with data engineering / analytics engineering teams (dbt, warehouse structures, instrumentation)

  • Familiarity with fairness/fair lending concepts and monitoring frameworks

  • Experience implementing AI tools to power business monitoring

Life at Lendable

  • Winning team: the opportunity to scale up one of the worldโ€™s most successful fintech companies

  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

  • Health coverage: support for your physical and mental wellbeing, including private health cover

  • Retirement & savings: long-term financial wellbeing through retirement savings plans

  • Employee referral programme: earn a competitive bonus when you refer successful new team members

  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

  • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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Compensation Range: $175K - $250K