This job has expired, please see additional jobs below
Senior Quantitative Analyst
Mitsubishi UFJ Financial Group
New York, NY, United States
Job Details - this job has expired, please see similar jobs below
Description
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) with total assets of over $2.9 trillion (106.2 (JPY) as of March 30, 2018) and 150,000 colleagues in more than 50 countries. In the U.S., we’re 13,000 strong, working together to positively impact every customer, organization, and community we serve. We achieve this by delivering on our values, putting people first, fostering long-term relationships built on honesty and mutual understanding, and inspiring the best in each other. This is all part of our inclusive, high-performing culture supported by Total Rewards that include our cash balance pension plan. Join a team that’s working to fulfill its vision to be the world’s most trusted financial group.
Job Summary
Position is responsible for managing historical and current portfolio data, working closely with the other members of the Advanced Internal Ratings Based (AIRB) Modeling team. This job is focused on all aspects of PD/LGD/EAD modeling: data mining, model development and on-going model maintenance. This position will include risk analysis and reporting tasks.
Major Responsibilities:
• Applying strong analytical abilities, risk methodology knowledge and finance/banking knowledge
• Applying strong intellectual curiosity and cutting-edge analytical capabilities to challenging modeling problems, often working with sub-ideal or spotty data
• Applying strong risk knowledge to solve problems independently, without relying on daily supervision
• Staying abreast of risk management developments and innovations, regulatory developments and industry news, and retaining a good understanding of industry best practice
• Generating data extracts for use in statistical analysis. Leveraging strong programming skills to extract useful information from imperfect data
• Assisting with gathering, validating, cleaning and organizing historical data for the bank's commercial portfolios
• Using SAS Enterprise Guide, Python, and other programming tools to assist in the calculation of risk parameters (PD, LGD and EAD). Application of business logic in a complex data environment (e.g. applying Basel II consistent default definitions on the account level based on linking information from different data sources)
• Documentation of workflow for Basel II purposes
Qualifications
• Bachelor’s degree or higher in statistics, finance, or other quantitative field. Advanced degree preferred.
• 4+ years of relevant experience in the banking industry desired.
• Prior Basel II and risk experience a significant plus.
• Strong SQL programming skills
• Knowledge of programming languages, such as Python and R
• Experience managing a large and complex database environment
• Ability to maintain data integrity and ensure confidence in data and results
• Excellent written and verbal communication skills
• Strong interpersonal skills with the ability to interact with all levels from staff to senior management
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.