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Credit Risk Model Validation Quantitative Analyst Jobs

Conduct independent validation of a wide range of credit risk models, including PD, LGD, EAD ... Participate in ad-hoc projects related to model risk management and quantitative analysis as ...

Posted today

$80 - $140/hr

Conduct independent validation of a wide range of credit risk models, including PD, LGD, EAD ... Participate in ad-hoc projects related to model risk management and quantitative analysis as ...

Posted today

Credit Risk models, and Climate Risk models. The team has two recent Risk Quant of the Year winners ... our Model Validation, Engineering, and Product Manager partners. The QMLRA group has an open ...

Posted today

NJ · Hybrid

$195K/yr

Barclays Services Corp. seeks AVP, Credit Risk Reporting (multiple positions) in Whippany, NJ ... DCEM), Model Validation, Quantitative Analytics and other user groups), enabling successful ...

Development and maintenance of a variety of risk reports, including credit, market, operational ... DCEM), Model Validation, Quantitative Analytics and other user groups), enabling successful ...

NJ · On-site

$188.18 - $195/hr

Barclays Services Corp. seeks AVP, Credit Risk Reporting (multiple positions) in Whippany, NJ ... DCEM), Model Validation, Quantitative Analytics and other user groups), enabling successful ...

Knowledge of various model types, including credit risk, market risk, and liquidity risk models ... concepts and validation results to both technical and non‑technical audiences.

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Credit Risk Model Validation Quantitative Analyst information

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$37K

$113.9K

$197.5K

How much do credit risk model validation quantitative analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for credit risk model validation quantitative analyst 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 a credit risk model validation quantitative analyst?

A Credit Risk Model Validation Quantitative Analyst is a finance professional responsible for assessing and validating the accuracy, reliability, and performance of credit risk models used by financial institutions. Their work involves reviewing statistical methods, testing model assumptions, and ensuring compliance with regulatory requirements. By identifying model weaknesses and recommending improvements, they help institutions manage risk effectively and maintain sound lending practices.

What are the key skills and qualifications needed to thrive as a credit risk model validation quantitative analyst?

To thrive as a Credit Risk Model Validation Quantitative Analyst, you need a solid background in quantitative finance, statistics, and programming, often supported by an advanced degree in a quantitative field. Proficiency with statistical software such as Python, R, SAS, and familiarity with regulatory frameworks like SR 11-7 and Basel guidelines are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret model results and convey complex findings to stakeholders. These competencies ensure models are robust, compliant, and transparent, safeguarding the organization's financial stability and regulatory standing.

What are the typical challenges faced by a credit risk model validation quantitative analyst when reviewing complex financial models?

Credit Risk Model Validation Quantitative Analysts often encounter challenges such as interpreting complex model methodologies, ensuring data integrity, and identifying model limitations or weaknesses. They must thoroughly assess both conceptual soundness and technical implementation, which can involve dissecting highly sophisticated quantitative techniques and large datasets. Collaboration with model developers and business stakeholders is essential to address findings, communicate technical issues clearly, and ensure regulatory compliance. Staying current with evolving regulatory standards and best practices is also a key aspect of the role.
Infographic showing various Credit Risk Model Validation Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Temporary. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

VP, Credit Risk Model Validation

UOB

Central, LA • On-site

$80 - $140/hr

Other

Posted 15 hours ago

Posted today


Job description

Company: 1011 United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years.

Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term.

Job Description

Risk Analytics Division is the Group's centralized independent validation team that validates all credit, risk quantifications and valuation models. The Risk Analytics Division primary functions include 1) Ensuring a robust internal validation system, 2) Validating new internally developed and vendor-developed models and 3) Conducting annual validation of existing models. The team conducts comprehensive independent validation of various risk models, including but not limited to IFRS9, credit risk, liquidity risk and stress testing models by 1) providing independent quantitative and qualitative assessment on all model related aspects, 2) highlighting to management the areas of risks and weaknesses and 3) provide regular advice on enterprise risk models to counterparts in the regional subsidiaries.

Job Responsibilities
  • Conduct independent validation of a wide range of credit risk models, including PD, LGD, EAD, stress testing, and IFRS9 models, across various portfolios (retail, corporate, wholesale).
  • Provide effective challenges to all model aspects including theoretical / conceptual soundness, model assumptions, model design, data inputs, modeling process, and model outcomes.
  • Develop and implement comprehensive validation plans, including quantitative and qualitative analyses, back testing, sensitivity analysis, and benchmark comparisons.
  • Document validation findings, limitations, and recommendations clearly and concisely in validation reports.
  • Effectively communicate validation results and recommendations effectively to model developers, model owners, senior management, and internal/external auditors.
  • Stay abreast of industry best practices, regulatory requirements (e.g., Basel, IFRS9, MAS), and emerging trends in model risk management and quantitative finance.
  • Collaborate with model development teams to understand model methodologies and provide constructive feedback for model enhancements.
  • Contribute to the continuous improvement of the model validation framework, policies, and procedures.
  • Participate in ad-hoc projects related to model risk management and quantitative analysis as required.
Job Qualifications
  • Undergraduate, Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Economics, or Computer Science.
  • Minimum of 2-5 years of experience in credit risk model validation, model development, or quantitative risk management within a financial institution.
  • Strong understanding of credit risk modeling techniques, statistical methods, and quantitative analysis.
  • Proficiency in programming languages such as Python, R, SAS or Excel VBA.
  • Familiarity with regulatory requirements related to model risk management (e.g., Basel III, IFRS9, MAS guidelines).
  • Excellent analytical, problem‑solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences.
  • Ability to work independently and as part of a team in a fast‑paced environment.
  • High level of attention to detail and commitment to accuracy.
Additional Requirements
  • Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non‑merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Company Profile & Recognition

UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.

Career Site: UOB Career site

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