Credit Risk Analytics & Modeling

Idbny•New York City, NY

22h•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.