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Credit Risk Fraud Analyst Jobs in Delaware (NOW HIRING)

Take ownership for managing risk and strengthening controls in relation to the work you own or ... To be successful as a Fraud Analyst, you should have: * Background in data analytics, data ...

New

We are seeking a Data Analyst to support our Credit Risk team. Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and ...

Drive adoption of advanced analytics and reporting tools to enhance risk identification, monitoring ... Experience with credit models or risk governance frameworks, risk appetite statements, and issue ...

Fraud Team Support Analyst

Newark, DE · On-site

$53K - $86K/yr

Create and maintain rule strategies with the various systems that will identify credit and debit card fraud. * Analyze and respond to escalated and/or challenged fraud cases, and act as liaison ...

Fraud Team Support Analyst

Newark, DE · On-site

$53K - $86K/yr

Create and maintain rule strategies with the various systems that will identify credit and debit card fraud. * Analyze and respond to escalated and/or challenged fraud cases, and act as liaison ...

Drive adoption of advanced analytics and reporting tools to enhance risk identification, monitoring ... Experience with credit models or risk governance frameworks, risk appetite statements, and issue ...

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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 Delaware? For Credit Risk Fraud Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Credit Risk Fraud Analyst jobs in Delaware look for? The top searched job categories for Credit Risk Fraud Analyst jobs in Delaware are:
What cities in Delaware are hiring for Credit Risk Fraud Analyst jobs? Cities in Delaware with the most Credit Risk Fraud Analyst job openings:

Credit Risk Director - Personal Loans

Citizens

Newark, DE

Full-time

Posted 9 days ago


Job description

The Credit Risk Director for Personal Loans leads a team responsible for end-to-end credit risk management across the personal (unsecured installment) loan lifecycle, balancing risk, customer experience, and profitable growth. This role owns strategic direction, prioritization, and execution across acquisition and underwriting strategy, credit policy, risk-based pricing and loan structuring, portfolio management, and loss mitigation. The leader will elevate the team's approach to align with an advanced credit risk organization by introducing stronger segmentation, scorecard and model usage, test-and-learn discipline, decision science, monitoring, and implementation rigor. This position partners closely with Product, Finance, Operations, Fraud, Analytics, Technology, Compliance, and Governance to deliver strategies that are analytically sound, operationally executable, and consistent with risk appetite and portfolio objectives.

 Primary responsibilities include

  • Lead the vision, design, and execution of personal loan credit risk strategies across acquisition and underwriting, credit policy, risk-based pricing and loan structuring, loan amount assignment, portfolio management, and loss mitigation to optimize profitability while managing credit losses within risk appetite.

  • Manage, coach, and develop a team of credit risk professionals, raising the team's capabilities in underwriting strategy design, segmentation, test-and-learn frameworks, loss forecasting, performance monitoring, and data-driven storytelling.

  • Evolve existing credit risk methods toward a more advanced model by embedding sophisticated segmentation, custom and bureau scoring, challenger strategies, champion/challenger testing, reject inference, forecasting, and ongoing strategy calibration.

  • Translate portfolio objectives into actionable credit policy and decision rules that improve customer-level treatment across approval, loan amount, pricing/APR, term, and ongoing account and portfolio management decisions.

  • Partner with Analytics and Decision Science teams to identify opportunities for advanced models, alternative data, automated decisioning, and optimization techniques that improve underwriting precision and business outcomes.

  • Oversee strategy implementation from concept through deployment, including business case development, requirements definition, controls, validation, UAT, and post-implementation review to ensure strategies are delivered accurately and perform as intended.

  • Establish robust portfolio monitoring and governance routines, including vintage/cohort analysis, KPI and delinquency tracking, early warning indicators, exception management, and clear escalation paths for emerging risks or underperforming strategies.

  • Provide strategic thought leadership to senior stakeholders by synthesizing portfolio trends, recommending actions, and clearly articulating tradeoffs across risk, growth, customer experience, and operational feasibility.

  • Ensure strategies comply with internal policy, regulatory expectations (e.g., ECOA/Reg B, FCRA), and governance standards through strong partnership with Compliance, Legal, Model Risk, and Risk Governance teams.

  • Monitor macroeconomic, regulatory, consumer, and competitive developments and translate those trends into proactive recommendations for personal loan credit strategy adjustments.

Qualifications

  • Required Qualifications

    • 7+ years of progressive experience in consumer lending or personal/installment loan credit risk, including deep experience in underwriting and portfolio management strategies.

    • Strong credit risk analytics and strategy development background, including segmentation, scorecard usage, test design, loss forecasting, performance monitoring, and interpretation of credit and profitability dynamics.

    • Experience translating analytical insights into executable strategies and partnering with technology and operations teams to implement decision rules and policy changes at scale.

    • Working knowledge of risk governance, controls, regulatory expectations, and policy frameworks applicable to consumer installment/personal loan portfolios.

    • Strong executive communication skills with the ability to present complex analyses, recommendations, and tradeoffs clearly to senior leadership and cross-functional stakeholders.

    • Proficiency with analytical and reporting tools such as SQL, SAS, Python, Excel, Power BI, or similar tools used in large-scale portfolio strategy environments.

  • Preferred Qualifications

    • Experience leading strategy modernization efforts that introduced more advanced segmentation, optimization techniques, machine learning, or automated decisioning into underwriting and portfolio management strategies.

    • Broad knowledge of personal loan economics, including loss performance, prepayment behavior, customer profitability, risk-based pricing, and balance and loss dynamics.

    • Experience working in highly matrixed organizations and influencing senior partners across Product, Finance, Operations, Fraud, Compliance, and Technology.

    • Demonstrated success building strong governance and monitoring routines that improve strategy performance, transparency, and control execution.

Education

  • Bachelor's degree in Statistics, Mathematics, Engineering, Business, Data Science, or a related quantitative discipline; equivalent combination of education and relevant experience may be considered.

  • Advanced degree such as an MBA, Master's in Analytics, Statistics, Economics, or a related field is preferred.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: M-F

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.