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Credit Risk Fraud Analyst Jobs in New York (NOW HIRING)

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

... underwriting, fraud detection, risk management, or collections for either consumer or small ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk ... Barclays Services Corp. seeks AVP, Credit Risk Reporting (multiple positions) in Whippany, NJ:

Lead the development and execution of a risk-based annual Credit Risk Review plan covering key ... Excellent analytical, written, and verbal communication skills, with the ability to synthesize ...

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

... underwriting, fraud detection, risk management, or collections for either consumer or small ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Analyze credit exposures and recommend risk mitigation strategies across covered sectors. Partner with internal teams, including Global Financial Institutions Group (GFIG) and Financial Fund Sponsor ...

... underwriting, fraud detection, risk management, or collections for either consumer or small ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Director of Credit Risk

Manhattan, NY · On-site

$160K - $190K/yr

... underwriting, fraud detection, risk management, or collections for either consumer or small ... Advanced analytical and data science skills to support decision-making and risk strategy ...

Showing results 41-60

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?

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 New York?

For Credit Risk Fraud Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Credit Risk Fraud Analyst jobs in New York look for?

The top searched job categories for Credit Risk Fraud Analyst jobs in New York are:

What cities in New York are hiring for Credit Risk Fraud Analyst jobs?

Cities in New York with the most Credit Risk Fraud Analyst job openings:

Infographic showing various Credit Risk Fraud Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Director of Credit Risk

Biz2Credit Inc

Manhattan, NY • On-site

$160K - $190K/yr

Full-time

Re-posted 13 days ago


Job description

Description:


About US


At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.


As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.


But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.


So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit.


About the Role


In this leadership role reporting directly to the Chief Risk Officer, you will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to develop and implement credit risk models and AI-driven underwriting and credit decision processes, optimize strategies related to risk management, pricing, and business growth, and shape and enhance lending products and processes to ensure they are grounded in robust risk management principles, driving both innovation and stability.


Responsibilities


Credit Decisioning Model Development

  • Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio management.
  • Automation of Customer Journey, Underwriting, and Credit Risk Framework.
  • Collaborate with technology, data engineering, and product teams to continuously optimize workflows.

Risk Strategy Development

  • Design, execute, and monitor risk strategies across credit underwriting, credit limit assessments, pricing, and collections.

Team Leadership & Development

  • Mentor and develop junior team members, fostering a high-performing credit risk team.

Research and Publications

  • Contribute to in-house research by publishing articles and whitepapers on topics related to small business, AI, and macroeconomics.
Requirements:
  • Hands-on expertise in developing and implementing machine learning-based statistical models.
  • 10+ years of experience in banking or Fintech, specializing in Modeling for underwriting, fraud detection, risk management, or collections for either consumer or small business. Hands on Experience in Statistical Models such as Logistics regression, XGBoost, Decision trees, or other ensembles.
  • Proven track record in risk management within the fintech or financial services industry.
  • Strong understanding of fintech products, lending solutions, Embedded finance and industry regulations.
  • Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions.
  • 5+ years of experience in managing a high-performing risk management team.
  • Advanced analytical and data science skills to support decision-making and risk strategy optimization.
  • Exposure to LLM/Generative AI/Agentic AI is preferred


Salary Range


$160k-$190k