This document summarizes a job posting for a Quantitative Consumer Credit Risk Manager in New York City. The role requires in-depth knowledge of residential mortgages, credit cards, auto loans, student loans and small business loans. Responsibilities include assessing industry practices and risks, developing stress testing tools, examining consumer lending at banks, and promoting analytical understanding. Strong quantitative and risk analysis skills are required, as well as 10+ years of consumer lending experience and an advanced degree in a quantitative field.

1. Please note: this client cannot sponsor for H1-B unless the candidate has already applied for and is in process of obtaining
permanent residency. TN visas are acceptable. Qualified, interested parties should email their resume and cover letter to Dan Ogden,
Managing Director, at dan.ogden@rockwood-search.com. Confidentiality assured.ug
Quantitative Consumer Credit Risk Manager/NYC
Our client, a major utility to the financial services industry, seeks Quantitative Consumer Credit Risk Managers with expertise in
several distinct product areas for an exciting opportunity to be at the cutting edge of risk management at some of the world’s largest
and most complex financial institutions.
Our client’s Credit Risk team supports and provides supervisory guidance to and oversight of the retail lending activities of financial
institutions in both existing and emerging products with the objective of promoting market integrity and financial stability in both the
US and globally at the systemic level.
The successful candidate will have a proven record of strong analytical thinking, good managerial skills, including the ability to
manage projects, and excellent written and oral communication skills; on the latter, significant internal and external communications
are required both in writing and in the form of in-person presentations – “executive presence” is an absolute requirement.
In order to successfully complete the responsibilities of the role, in-depth/quantitative knowledge of *all three* of the following
product areas (at least one per bullet) is required
• Residential Mortgages
• Unsecured Credit/Credit Cards
• Auto Loans/Student Loans/Small Business Loans
Finally, the successful candidate will demonstrate the ability to quickly develop a supervisory perspective on markets, financial
institutions and financial stability.
Responsibilities:
The qualified candidate will
• Lead analytical efforts to assess current industry practices, evaluate conditions and trends, and identify emerging risks as
financial products/markets evolve, both at the individual institution level and at the industry level
• Develop / enhance quantitative framework and tools to support supervisory stress testing of consumer portfolios
• Formulate and communicate cross-horizontal perspective on supervised institutions’ overall inherent / emerging risk and
risk management practices for use in risk assessments, supervisory plans and exam execution
• Participate on or lead examinations of consumer lending activities at supervised banking organizations (periodic in- and
out-of-state travel may be required); which will require presentation of examination results both internally as well as to
the supervised institution at various executive levels
• Participate as needed in the development or refinement of existing supervisory guidance for sound risk management and
analytics
• Coordinate analytical activities and approaches relating to consumer credit within the bank
• Promote statistical / analytical understanding and knowledge transfer to team members
Requirements:
• At least 10 years of experience in the financial industry with broad product knowledge of residential mortgage, credit
card, auto, small business and other retail lending
• Strong knowledge of retail credit risk analytics and modeling, and in particular, advanced knowledge of statistical
analysis, predictive modeling and segmentation methodologies
• Solid knowledge of consumer credit risk management principles and practices in the relevant retail portfolios
• Experience in Basel II construct including segmentation, PD, EAD, LGD quantification and credit risk ratings are a plus
• Experience in using statistical packages (e.g. SAS) are a plus
• Superior problem-solving skills
• Excellent written and oral communication skills; well-developed presentation skills
• The candidate should possess an advanced degree in a quantitative discipline such as Statistics, Operations Research,
Financial Engineering, Mathematics of Finance, MBA with a quantitative focus, Applied Mathematics, or Economics.
Undergraduate degree acceptable if combined with related industry experience.