SAS Developer - Enterprise Risk Management, Associate/AVP
- San Francisco, CA
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 (as ranked by S&P Global, April 2018). In the Americas, we're 14,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, developing positive relationships built on integrity and respect. It's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. We're a team that accepts responsibility for the future by asking the tough questions and owning the solutions. Join MUFG and be empowered to make your voice heard and your actions count.
Participate in data investigation and analysis, model performance monitoring/reporting, production data load, data quality check, and data management.
Responsible for enhancements of the existing Retail DataMart process needed due to business and/or data changes. Retail DataMart is the matured process servicing all of the modeling and reporting needs of the credit risk management team.
Subject matter expert responsible for reviewing and understanding the retail portfolio SAS code/process and documentation, and answering related technical questions.
- Perform data analysis to investigate data integrity issues
- Conduct statistical analysis to develop and produce model performance monitoring reports for all retail portfolios
- Perform monthly data load and data quality check for the DataMart production process
- Develop and enhance retail portfolio DataMart related documentation
- Assist in designing and testing retail DataMart and maintenance system to ensure data integrity and transparency to support credit risk models and reporting.
Candidates must have demonstrated knowledge of and experience with SAS process performance monitoring techniques, experiencein managing and working with large databases, strong SAS programming background, effective written and verbal communication skills, and strong teamwork skills.
- Extensiveexperience in SAS programming; capable of managing large data sets and performing complex data operations, including data mining and manipulation to support analytical methods and database management
- Bachelor's or advanced degree in quantitative disciplines, such as, economics, computer science, operations research/industrial engineering, finance, or related fields
- One to twoyears of work experience in risk management and quantitative analysis includingadvanced knowledge of and experience withBase SAS and SAS macros.
- Strong conceptual and quantitative problem solving skills and ability to think creatively. Good understanding of Dataset process, extraction of data from various data sources, SAS arrays, SAS procedures and functions.
- Effective oral and written communication skills, including preparing reports suitable for both technical and non-technical audiences
- Demonstrated effective time-management, with the ability to work independently on multiple tasks and/or projects
- Well-developed organizational and prioritization skills with the ability to manage multiple and sometimes competing priorities
- Strong motivation to learn and adapt. A team player, who pays attention to details, has the ability to work independently with sufficient instruction.
- Prior bank experience preferred.
The above statements are intended to describe the general nature and level of the 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.
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