Compliance Product Officer - Fair Lending Data Scientist Remote / Telecommuter

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Compliance Product Officer - Fair Lending Data Scientist – Remote / Telecommuter
The candidate will be assisting in the design, development, delivery and maintenance of best-in-class Compliance, programs, policies and practices for ICRM. Follow implemented in-house processes for statistical analysis (incl. data mining, data assessment, validation, documentation) to identify fair lending risks through the entire credit lifecycle, including marketing, underwriting, pricing, and loss mitigation. Periodically re-validate processes to ensure validity, efficiency, and accuracy; and to identify enhancement opportunities. Assisting with regulatory inquiries and/or examinations. This may include coordination with regulators and other parties. Prepare and present statistical results and data sets for analysis in support of regulatory requests and examinations. Work with examiners and business units to resolve any questions related to analytical methodology or data integrity. Collaborating with other internal areas including: Legal, Business Management, Operations, Technology, Finance, other Control Functions, and In-Business Risk to address compliance issues which may impact the supported function/business/product. Supporting the function/business/product in performing timely compliance reviews of new products. Researching any new reform rules and rule changes and implementing policies, procedures or other controls necessary to comply with the rules. Develop and deepen Subject Matter Expertise in large Fair Lending and Fairness regulations/laws as well as in specific fair lending analytics field through internal, external and on-the-job training. Must have knowledge of Compliance laws, rules, regulations, risks and typologies. Fair Lending knowledge and experience highly preferred. Knowledge of credit cards and consumer lending products and regulatory requirements including ECOA, Reg B and FHA highly preferred. Should have strong written and verbal communication and interpersonal skills. Must be proficient in MS Office applications (Excel, Word, PowerPoint). Expertise and hands-on experience in advance programming using: SAS / R, Python and SQL for basic data mining; additional experience and knowledge of Big Data tools preferred. In-depth knowledge and understanding, and demonstrated experience working with: logistic regression model development, univariate and multivariable statistics, sampling designs, disparities analysis. Direct experience in fair lending modeling and analytics strongly preferred. Must have Bachelor’s degree; experience in compliance, legal or other control-related function in the financial services firm, regulatory organization, or legal/consulting firm, or a combination thereof; strong working knowledge of function/business/product supported and the related operations and financial requirements is a plus. Degree in highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics is a must. Should have 8+ years of work experience in related field or Master / Ph.D. with 3+ years of work experience or equivalent in highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics. MBA or JD a plus.

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