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Quant Analytics Sr. Associate - Fair And Responsible Banking Analytics
Company | KeyBank |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Banking |
Expires | 2023-07-30 |
Posted at | 10 months ago |
Location:
- Proactively identify process improvements or control gaps and facilitate necessary associated changes.
- Participate in or lead various projects related to mitigating risk to Key.
- Follow through with LOB management and/or appropriate compliance risk personnel to ensure appropriate corrective action is taken to sufficiently address findings/issues to prevent ongoing systemic issues.
- Analyze and monitor CRA, Fair Lending and UDAAP risks and activities through analytical assessments including, but not limited to, lending distribution reporting, CRA self-assessment, mapping analyses, and regression analyses.
- Prepare reporting of analytical results and present the information in non-technical terms.
- Timely escalate issues and exceptions to management in accordance with procedures and/or based on sound judgment.
- Prepare model documentation and work with model risk management to ensure soundness of the FARB models and analytics.
- Extract data from various sources and develop quantitative/statistical analytics solutions and reporting that mitigate risks, create efficiencies, and provide compelling descriptions of outcomes and impacts.
- Effectively collaborate with applicable stakeholders to identify suitable internal controls to ensure compliance with laws and regulations.
- Excellent communication skill and the ability to communicate complex statistical methodologies in a non-technical way.
- 2+ years of applied statistical and analytics experience in financial services or similar work related to graduate school experience.
- Strong knowledge of all fair and responsible banking laws, regulations and guidance, including but not limited to Equal Credit Opportunity Act, Fair Housing Act, Home Mortgage Disclosure Act (HMDA), Community Reinvestment Act (CRA), Unfair, Deceptive or Abusive Acts or Practices (UDAAP).
- Demonstrated proficiency in analytical programming (e.g. SAS, R, Python) and reporting tools (e.g. Tableau).
- Experience in developing, implementing and evaluating linear/logistic models is a plus.
- Master’s degree (or its equivalent) in a quantitative field (e.g. statistics, economics, engineering).
- Proven ability to work in a team environment.
- Knowledge and familiarity with using CRA and Fair lending related tool is a plus.
- Candidate must possess the wherewithal and flexibility to undertake new functions/tasks as the Compliance Risk and line of business evolves and grows.
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