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Selby Jennings

AVP, Credit Risk Reporting

Selby Jennings, New York, New York, us, 10261

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3 days ago Be among the first 25 applicants This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$120,000.00/yr - $150,000.00/yr Credit, Risk, and Decision Sciences Consultant

A leading financial institution is seeking an Assistant Vice President (AVP) to join their Credit Risk Reporting team here in NYC. This is a high-performing, high-impact team that focuses on loss provisioning, IFRS9, CECL, and impairment analytics. This role is central to forecasting and analyzing credit loss provisions that inform executive decision-making and regulatory reporting. You'll work with large datasets to uncover behavioral drivers behind portfolio performance and translate those insights into strategic commentary. The position offers strong visibility, global collaboration, and the opportunity to influence long-term financial planning. You'll be supported by a team of experienced professionals and empowered to drive meaningful change. Responsibilities

Forecast credit loss provisions across monthly, annual, and five-year horizons, shaping the institution's financial outlook and strategic planning. Analyze customer and portfolio behavior to identify trends, anomalies, and drivers behind changes in provisioning, using both quantitative and qualitative methods. Leverage Python, SQL, and SAS to manipulate large datasets, build models, and extract actionable insights that inform risk and finance decisions. Develop clear, data-driven commentary that explains movements in provision numbers to senior leadership and regulatory stakeholders. Collaborate with global teams across risk, finance, and data functions to ensure alignment on methodology, controls, and reporting standards. Requirements

Strong analytical mindset with a proven ability to solve complex problems. Experience turning raw data into strategic insights and narratives. Proficiency in Python, SQL, or SAS for data analysis and modeling. Familiarity with credit provisioning frameworks (e.g., CECL, IFRS9). Knowledge of the U.S. credit card business is a strong plus. Seniority level: Mid-Senior. Employment type: Full-time. Job function: Finance. Industries: Banking.

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