MUFG Union Bank Credit Research Associate - PhD or MS in Statistics in San Francisco, California
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The Credit Research Associate is responsible for:
Performing analytics that inform and support the Bank’s Allowance for Credit Losses (ACL).
Conducting research on ACL related data and trends, regulatory guidance, and industry standards.
Ensuring the availability and quality of data used in the ACL process.
Participating in ACL model development and maintenance.
Collaborating with other teams to develop reports, presentations, and graphics that facilitate executive management’s decisions regarding the appropriateness of the Bank’s ACL strategies and provisions.
Providing ongoing thought leadership to ensure the ACL team’s analytical and data management approach and tools are appropriate given the Bank’s ACL philosophy / strategy, regulatory guidance, and industry standards and best practices.
Participating in ACL related projects.
Develop, implement, and maintain analytics that significantly contribute to the development of an appropriate quarterly ACL provision. Such analytics may include, but are not limited to, the Formula Allowance calculation, which is based on appropriate loss factors for the Bank’s Commercial portfolio adjusted quantitatively and qualitatively to ensure historical loss factors reflect the impact of more current events; specific and unallocated attribution calculations; the determination of appropriate loss emergence and look-back periods; and the estimation of the probability of default, loss given default, and estimate at default in various credit portfolios.
Develop standardized production reports to support development of the quarterly ACL package.
Collaborate with other teams and contribute support and products as needed to develop reports, presentations, and graphics that facilitate executive management and the Board’s decisions regarding the appropriateness of the Bank’s ACL strategies, approach, and provisions.
Research and analyze economic, industry, and other relevant drivers and trends and advise ACL Operations as to the potential impact to the ACL.
Develop creative approaches to displaying data trends, results of analyses, etc. to effectively communicate with varied reviewers such as ACL managers, line-of-business managers, oversight committees, the Board, regulators, and internal / external auditors.
Participate in discussions with key executives to assist them in understanding analytical approaches and results that contributed to the estimation of the allowance and facilitate their decisions.
Collaborate with Credit Risk Portfolio Management and other Bank departments on related analytics.
Provide data / analytics as requested by RMA management to support special projects, respond to audit / regulatory requests for information, and fulfill ad hoc requests from management.
Data Management and Modeling Responsibilities:
Analyze ACL data and reporting requirements; identify gaps in existing data and analytical / reporting tools; and assist management in establishing plans to ensure that data needed to produce the quarterly ACL provision, as well as allowance forecasts and other analyses requested my senior management, is available and of acceptable quality.
Collaborate with upstream data providers to resolve issues that are affecting ACL data / reporting capabilities.
Participate in the development of automated applications and models used in the production of the quarterly provision including related maintenance and support of such applications and models. Define model changes and priorities and ensure accuracy and completeness of model results.
Provide support for model validations and other required application reviews managed. Implement timely corrective action as needed to resolve Model and Validation Group findings.
Process and Project Support:
Provide ongoing thought leadership to ensure the ACL team’s analytical and data management approach, processes, and tools are appropriate given the Bank’s ACL philosophy / strategy, regulatory guidance, and industry standards / best practices.
Collaborate with other teams within RMA and across related Bank organizations to ensure appropriate / timely information sharing; improve operational efficiency; develop or enhance ACL products, services, and analytical methods; and implement best practices.
Participate in ACL related projects and prepare project deliverables as needed.
Maintain current, detailed procedures for producing key ACL analytics and provide cross-training to peers as directed by management.
Participate in tests of the ACL internal control environment to ensure ongoing compliance with SOX and other audit and regulatory guidance.
Provide information, documentation, etc. to management to respond to requests for information from executive management, internal / external auditors, and regulators.
Maintain current knowledge of analytical methodologies, tools, and presentation techniques.
Maintain a personal development plan and participate in training and other development activities designed to further enhance ACL & analytical knowledge, skills, and abilities.
PhD in Statistics (new graduate will be considered) or MS in Statistics with 3 years of experience in risk management or other analytical area
Solid background and skills in statistical methodologies, tools, and practices
Experience in modeling techniques using past results as an indicative measure of future forecasts
Familiar with database designs and strategies
Experience working with risk management in a large commercial bank, including specific ACL analytics and data management experience, preferred
Working knowledge of Basel II, FAS 5 and FAS 114 regulations and their implications for the Bank’s allowance, preferred
o Analyze issues, generate creative solutions, use sound judgment, and innovate.
o Plan, organize, drive results, and manage to established deadlines.
o Deliver quality products and services that consistently meet requirements.
o Develop written communications that are clear, concise, and persuasive.
o Create statistical graphics that display complex ideas with clarity, precision, and efficiency to facilitate decision making.
o Build relationships and communicate in an open, candid, clear, and consistent manner. Listen effectively and probe for new ideas and solutions.
o Articulate, negotiate and gain consensus between all interested parties.
o Collaborate effectively with key stakeholders within and outside the organization.
/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 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.
Title: Credit Research Associate - PhD or MS in Statistics
Location: CALIFORNIA-San Francisco
Requisition ID: 10007193-WD