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Reporting to the VP Lending Compliance, the Sr. Compliance Officer is responsible for performing and developing statistical/econometric Fair Lending (FL) models and methods for assessing the impact of pricing, underwriting, redlining and other Fair Lending risks. In addition, develop and provide statistical/econometric support for special projects and strategic initiatives in assessing fair lending impact and reputation risk. Assist in managing vendors with respect to statistical modeling and analytics.
Develop the FL statistical monitoring activities and make ongoing changes relative to business initiatives.
Support business units with data analysis and reports using HMDA and other relevant data to provide insight and measure FL performance.
Develop ad hoc models for the support of special projects and strategic initiatives in analyzing fair lending impact.
Provide subject matter expertise in reviewing models developed by lines of businesses (LOBs) for Fair Lending impact.
Conduct descriptive statistical analyses (non-regression based), including HMDA Fair Lending Key Risk Indicators such as Denial Disparity index, Rate Spread Disparity.
Perform data analysis and collection in response to media, advocacy groups, regulatory inquiries and legal requests.
Work with Modeling and Analysis vendors to ensure that the testing protocols utilize appropriate underwriting and pricing policies.
Document the validation of quantitative models used for important business decisions and policies.
Typically requires a Masters degree (or higher) in statistics/finance/quantitative field, plus at least 5 years of related experience in the financial services industry.
Exceptional skills in quantitative methods and computer technology, including statistical analysis, and computer modeling, are necessary. Technically sound in statistics and quantitative analysis with the ability to translate strategic concepts into practical reality.
Very strong, demonstrated organizational skills is a must.
Outstanding problem-solving skills.
Robust analytical skills and lateral thinking ability to identify underlying issues.
Pragmatic and creative depending on the situation, and also effective in making the tradeoffs between reaching the perfect solution vs. a good, manageable solution.
Outstanding communication skills via meetings, presentations, reports, and ad hoc conversations.
Very strong PC skills and financial analysis skills. Proficiency in Excel/MS Office, MS Access, and statistical software, such as SAS required or Excel for model building purposes.
The above statements are intended to describe the general nature and level of the work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.
We are proud to be an Equal Opportunity / Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category.
A conviction is not an absolute bar to employment. Factors such as the age of the offense, evidence of rehabilitation, seriousness of violation, and job relatedness are considered in all employment decisions. Additionally, it's the bank's policy to only inquire into a candidate's criminal history after an offer has been made. Federal law prohibits banks from employing individuals who have been convicted of, or received a pretrial diversion for, certain offenses.
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