SAS Analyst - Statistics or Related Degree preferred - Hybrid
Posted on: November 24, 2022
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
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
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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