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Credit Risk Data Science Jobs (NOW HIRING)

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:

Help the team develop internal tools and workflow solutions to increase data science productivity and operational efficiency. * Actively monitor credit risk models and strategies in production ...

Credit Strategy Data Scientist

CA ยท Remote

$50 - $53.33/hr

Credit Strategy Data Scientist This is an exciting opportunity to join a growing global company in ... Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech ...

NJ ยท On-site

$195K/yr

Perform data clean up and analysis. * Resolve data integrity/upstream booking and data issues that ... Contribute to development of Credit Risk Reporting's management practices (e.g. Engage stakeholders ...

NJ ยท Hybrid

$195K/yr

Perform data clean up and analysis. * Resolve data integrity/upstream booking and data issues that ... Contribute to development of Credit Risk Reporting's management practices (e.g. Engage stakeholders ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

Partner with Data Science/Analytics to develop and validate credit scoring models, machine-learning underwriting tools, and early-warning indicators. * Set and manage credit risk appetite, exposure ...

Partner with Data Science/Analytics to develop and validate credit scoring models, machine-learning underwriting tools, and early-warning indicators. * Set and manage credit risk appetite, exposure ...

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Credit Risk Data Science information

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$37K

$113.9K

$197.5K

How much do credit risk data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for credit risk data science in the United States is $113,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.
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Cities with the most Credit Risk Data Science job openings:

What states have the most Credit Risk Data Science jobs?

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Infographic showing various Credit Risk Data Science job openings in the United States as of September 2026, with employment types broken down into 60% Full Time, 10% Part Time, and 30% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

AVP, Credit Risk Reporting

Whippany, NJ โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Key responsibilities

  • Develop, maintain, and automate risk reports including credit, market, operational, liquidity, and regulatory reports.

  • Extract, analyze, and validate risk data from internal systems, risk models, and external data feeds to identify trends, patterns, and outliers.

  • Provide accurate and timely credit risk reporting to inform regulatory and management decisions, and resolve data integrity and limit breaches.


Job description

Job Description

Purpose of the role

To gather, analyse, and present risk data in a clear and concise manner to stakeholders across the organisation, facilitating informed decision-making, risk mitigation, and regulatory compliance.

Accountabilities

  • Development and maintenance of a variety of risk reports, including credit, market, operational, and liquidity risk reports, and regulatory reports.
  • Extraction of risk data from various sources, including internal systems, risk models, and external market data feeds.
  • Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures.
  • Monitoring key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.
  • Development and implementation of risk reporting improvements and automation initiatives.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

What will you be doing?

Barclays Services Corp. seeks AVP, Credit Risk Reporting (multiple positions) in Whippany, NJ:

  • Provide accurate and timely reporting on credit risks to inform regulatory and management decisions.

  • Conduct credit exposure validations.

  • Perform data clean up and analysis.

  • Resolve data integrity/upstream booking and data issues that lead to inaccurate RWAs being reported.

  • Assist with reporting and analysis of BIII RWAs for our company's Trading Book.

  • Ensure limits are set up correctly to capture risk, and that risk calculations are thoroughly documented and understood.

  • Identify and resolve breaches of limits and any technical issues that may be associated with the breach.

  • Act as liaison between Front Office and Credit Officers for any credit inquiries.

  • Participate in definition of risk policies and ensure that agreed upon policies are properly implemented.

  • Contribute to development of Credit Risk Reporting's management practices (e.g. Engage stakeholders across multiple business areas, including Front Office, Credit Risk IT, Credit Officers, Credit Risk Methodology (CRM), Derivatives Counterparty Exposure Measurement (DCEM), Model Validation, Quantitative Analytics and other user groups), enabling successful reporting of accurate exposures.

  • Automate reporting needs for the region and ensure global consistency in the reporting process.

  • Produce, review and validate report data and research any significant changes to ensure accuracy of data.

  • Serve as liaison between various application system owners to ensure data quality.

  • Provide input into the new products approval process.

  • May telecommute pursuant to company policies [Hybrid].

Minimum Salary: $188,178 per year

Maximum Salary: $195,000 per year

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of a competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.