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 2020). In the Americas, we're 13,000 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. Job Summary:
As a SAS Developer in Enterprise Risk Management you will:
Participate in data investigation and analysis, data management, model performance monitoring reporting, production data load, and data quality checks.
Support existing Retail and Commercial Data Mart processes including enhancements and changes due to business and/or data changes. Our Data Marts contain loan and rating information for retail and commercial loans; they are mature processes servicing the modeling and reporting needs of credit risk management teams.
Answering technical questions that cover the data marts (after review and understanding of the SAS programs, documentation, etc.). Major Responsibilities:
- Perform data analysis to investigate data integrity issues
- Perform monthly data load and data quality check for the Data Mart production process
- Develop and enhance DataMart related documentation
- Assist in designing and testing updates to the DataMarts. These can be maintenance changes to existing programs, and/or new programs.
- Facilitate the documentation for production changes through MUB's change management systems.
Candidates must have demonstrated knowledge of and experience with SAS process performance monitoring techniques; experience in managing and working with large databases/data marts; strong SAS programming background, effective written and verbal communication skills, and good teamwork skills.
Join us as we evolve our organization to become more agile, innovative, and inclusive!
- Bachelor's degree in quantitative disciplines, such as, economics, computer science, operations research/industrial engineering, finance, or related fields. Advanced degree preferred.
- Extensive experience 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.
- One to two years of work experience in risk management and quantitative analysis including advanced knowledge of and experience with Base SAS and SAS macros
- Strong conceptual and quantitative problem-solving skills and ability to think creatively. Good understanding of SAS DATA step process; extraction of data from various data sources, SAS arrays, functions, formats, and Base SAS procedures.
- 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 but not required
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.