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SAS Analyst - Statistics or Related Degree preferred - Hybrid

Company: MUFG
Location: Irving
Posted on: November 24, 2022

Job Description:

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world. Across the globe, we're 180,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. This is a hybrid position. The selected colleague will work at an MUFG office an average of two to three days per week with the remainder worked remotely. Job Summary: Reporting to the Director of Lending Compliance, the Analyst 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. Knowledge of Fair Lending is not required. Position may be located in Tempe, Arizona or Irving, Texas. Major Responsibilities: 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. Qualifications: Typically requires a bachelor's degree (or higher) in statistics /quantitative field.
2+ years of related experience in the financial services industry preferred. A new grad may be considered.
Requires SAS and Excel skills for model building purposes.
Knowledge of Fair Lending is not required.
Very strong, demonstrated organizational skills are 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 The above statements are intended to describe the general nature and level of 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 on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law. #LI-Hybrid

Keywords: MUFG, Irving , SAS Analyst - Statistics or Related Degree preferred - Hybrid, Professions , Irving, Texas

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