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Credit Risk Analytics Jobs (NOW HIRING)

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not available About IDB Bank For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term ...

Calpine

Credit Risk Analyst

San Diego, CA · On-site

$70K - $88K/yr

... risk analytics and systems. Provides support to the company's sales efforts by performing timely credit risk analysis on potential and existing counterparties. While understanding margining and ...

Calpine

Credit Risk Analyst

San Diego, CA · On-site

$70K - $88K/yr

... risk analytics and systems. Provides support to the company's sales efforts by performing timely credit risk analysis on potential and existing counterparties. While understanding margining and ...

Block

Senior Credit Risk Analyst

Bodega Bay, CA · On-site

This role sits at the intersection of credit risk analytics, data science, and strategic risk management. You'll leverage advanced querying, AI-assisted analytics, and predictive portfolio ...

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All JobsCredit Risk Analytics Jobs

Credit Risk Analytics information

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$35K

$131.9K

$175.5K

How much do credit risk analytics jobs pay per year?

As of Jun 8, 2026, the average yearly pay for credit risk analytics in the United States is $131,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Credit Risk Analytics vs Credit Risk Management?

AspectCredit Risk AnalyticsCredit Risk Management
Primary FocusAnalyzing data to assess credit risk and develop modelsOverseeing and implementing strategies to manage credit risk
Skills & CertificationsData analysis, statistical modeling, certifications like CFA or FRMRisk policies, decision-making, leadership skills
Work EnvironmentQuantitative teams, data-driven departmentsCredit departments, risk committees
Industry UsageUsed across banks, financial institutions, credit agenciesUsed in risk departments for strategy and policy

While Credit Risk Analytics focuses on data analysis and model development to quantify credit risk, Credit Risk Management involves overseeing these risks through policies and strategic decisions. Both roles are essential and often collaborate within financial institutions.

What are some common challenges faced in a Credit Risk Analytics role, and how can they be addressed?

Professionals in Credit Risk Analytics often encounter challenges such as managing large volumes of complex data, staying current with regulatory changes, and ensuring the accuracy of risk models. To address these, it is important to develop strong technical skills in data analysis tools, collaborate closely with compliance teams, and regularly validate and update risk models. Additionally, effective communication with stakeholders helps ensure that analytical insights are clearly understood and actionable within the organization.

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

A Credit Risk Analytics professional needs strong quantitative analysis skills, a solid understanding of financial principles, and typically a degree in finance, mathematics, economics, or a related field. Proficiency in statistical software (such as SAS, R, or Python), risk modeling tools, and knowledge of regulatory frameworks like Basel III are crucial. Excellent problem-solving abilities, attention to detail, and effective communication skills help them interpret data and explain findings to stakeholders. These skills ensure accurate risk assessment, regulatory compliance, and informed lending decisions that protect an organization's financial health.

What is Credit Risk Analytics?

Credit Risk Analytics is the process of using data analysis, statistical models, and machine learning techniques to assess and predict the likelihood that a borrower or counterparty will default on their financial obligations. Professionals in this field analyze credit data, financial statements, and market trends to help financial institutions make informed lending decisions and manage their risk exposure. Effective credit risk analytics helps institutions minimize losses, set appropriate loan terms, and comply with regulatory requirements.
More about Credit Risk Analytics jobs
What are the most commonly searched types of Credit Risk Analytics jobs? The most popular types of Credit Risk Analytics jobs are:
What states have the most Credit Risk Analytics jobs? States with the most job openings for Credit Risk Analytics jobs include:
What job categories do people searching Credit Risk Analytics jobs look for? The top searched job categories for Credit Risk Analytics jobs are:
Credit Risk Analytics jobs near you
Infographic showing various Credit Risk Analytics job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $131,886 per year, or $63.4 per hour.

Credit Risk Analytics & Modeling

IDBNY

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

First Vice President, Credit Risk Analytics & Modeling
Department: Risk Management / Credit Risk Management
Location: New York, NY (Hybrid - 3 days in office)
Employment Type: Full-time
Reports to: Head of Credit Risk Analytics & Modeling
Visa Sponsorship: Not available
About IDB Bank
For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term client relationships through disciplined banking, strong partnership, and a high-touch approach. As a growing commercial bank, IDB offers the opportunity to work in a collaborative, entrepreneurial environment where talented professionals can make a visible impact and help shape the future of the institution.
The Opportunity
IDB Bank is seeking an experienced credit risk professional to join its Credit Risk Analytics & Modeling team in a high-impact role supporting the continued evolution of the bank's wholesale credit risk framework. This position is ideal for a candidate who combines deep quantitative and modeling expertise with a practical, business-oriented mindset and a passion for building scalable solutions in a growth-oriented institution.
The successful candidate will play a central role in the ownership, enhancement, and governance of the bank's internal and vendor credit risk models, including risk rating scorecards, expected loss implementation, override monitoring, portfolio analytics, and credit stress testing. This individual will partner closely with stakeholders across Credit, Finance, Technology, and Data Governance to strengthen analytics, automate processes, and improve the quality, transparency, and usability of model outputs across the organization.
This is an excellent opportunity for a hands-on credit risk modeling leader who wants to bring energy, judgment, and modern analytical thinking to a smaller institution where meaningful contributions are visible and create immediate impact.
Key Responsibilities
Credit Risk Model Ownership & Analytics
  • Serve as the subject matter expert for the bank's wholesale credit risk rating and scorecard models, helping ensure consistent, effective use across underwriting, monitoring, and portfolio management activities. Lead enablement for model users (training sessions, job aids, interpretation guidance, vendor tool upgrades), improving consistency and decision quality.
  • Maintain, test, monitor, and enhance internal and vendor-supported credit risk models, with a focus on model performance, applicability, transparency, and business usability.
  • Design and implement reporting and analytics to support portfolio Expected Loss execution, model override monitoring, and portfolio risk insights generation.
Model Lifecycle Management, Governance & Validation
  • Lead annual model maintenance activities and support the full model lifecycle, including monitoring, documentation, change management, issue remediation, and user guidance.
  • Coordinate annual validation efforts with third-party validators by explaining methodologies, processes, assumptions, and monitoring results, and by managing the resolution of findings and recommendations.
  • Enhance monitoring and governance practices to ensure that model oversight is not only compliant, but also practical, efficient, and informative for decision-makers.
Scorecard Development & Portfolio Stress Testing
  • Lead the refit and, where appropriate, redevelopment of credit scorecards for the Commercial & Industrial, Commercial Real Estate and Private Banking portfolios.
  • Elevate the bank's credit portfolio stress testing framework, methodologies, and reporting to support stronger portfolio management, concentration analysis, and risk oversight.
  • Contribute to the ongoing development of value-added portfolio analytics that enhance the bank's risk-return framework and support more informed credit decisions.
Data, Technology & Process Improvement
  • Define business data requirements and partner with Technology and Data Governance teams to improve credit risk data aggregation, reporting, controls, and analytics infrastructure.
  • Use analytical tools and automation techniques to reduce manual processes, strengthen controls, and increase the consistency and repeatability of reporting and model monitoring outputs.
  • Identify opportunities to improve workflows, enhance transparency, and bring structure to evolving processes within a growing institution.
Cross-Functional Partnership & Communication
  • Act as a trusted partner to stakeholders across Risk, Front Office, Finance, Technology, Loan Operations, and related functions to gather information, align priorities, and deliver high-quality solutions.
  • Support internal audit, external review, due diligence, and regulatory-facing requests through clear documentation, analytical support, and effective communication of model methodologies and key findings.
  • Present model outputs, portfolio insights, and technical concepts in a clear and concise way to senior stakeholders, including senior management, external vendors, and regulators.

Qualifications
Required
  • 7-10+ years of hands-on experience in credit risk modeling, analytics, model governance, or a closely related quantitative risk function within a financial institution or consulting environment.
  • Strong experience across the credit model lifecycle, including development, testing, monitoring, maintenance, validation support, and implementation. Familiarity with model risk management expectations and governance frameworks, including SR 11-7-aligned practices.
  • Deep understanding of wholesale credit risk, including Commercial / Corporate Banking and Commercial Real Estate exposures, and the relevant credit risk drivers and portfolio metrics (e.g., PD, LGD, DSCR, LTV, NOI).
  • Experience with credit risk rating models and scorecards, including internal frameworks and/or vendor solutions such as Moody's CreditLens®, RiskCalc, CMM, dual risk ratings, and specialty scorecards.
  • Strong analytical and technical toolkit, including advanced Excel, PowerPoint, Power Query, and experience with analytics / programming tools such as Python; experience with Power BI is strongly preferred.
  • Demonstrated ability to work independently, prioritize effectively, and manage multiple deliverables and stakeholders in a dynamic environment.
  • Excellent written and verbal communication skills, with the ability to translate technical model concepts into actionable business insights.
  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Science, or another quantitative discipline.
Preferred
  • Experience automating monitoring, reporting, or model-related processes in a banking or regulated financial services environment.
  • Professional certifications such as FRM, CFA, or related credentials are a plus.

What Makes This Role Compelling
This role offers the opportunity to join a growing commercial bank where credit risk analytics and modeling are increasingly important to the institution's strategy and risk framework. Unlike highly segmented roles at larger organizations, this position offers meaningful ownership across model oversight, scorecard enhancement, stress testing, automation, governance, and stakeholder engagement. For the right candidate, it is an opportunity to bring both technical depth and practical leadership to a team that values initiative, collaboration, and solutions that drive measurable impact.
Compensation
The expected annual salary for this position is between $170,000 - $210,000 at the start of employment. A salary offer will be determined on an individualized basis, taking into consideration factors such as experience, skills, and qualifications. In addition to base salary, IDB Bank offers a comprehensive total rewards package, including annual bonus eligibility, medical, dental, vision, life and disability coverage, employee wellness programs, retirement and savings plans with employer contributions, generous bank holidays and paid time off, parental leave, and tuition reimbursement.
Equal Opportunity / Additional Information
The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position and are not intended to be an exhaustive list of all responsibilities, duties, and skills required. Responsibilities may evolve over time based on business needs. All qualified applicants will receive consideration for employment in accordance with applicable federal, state, and local laws and regulations. Physical presence in IDB Bank's office(s) is an essential function of this role, subject to reasonable accommodations where required by law.
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