Quantitative Risk Modeling Expert

1 month ago


London, Greater London, United Kingdom M&T Bank Full time
Job Summary

We are seeking a highly skilled Quantitative Risk Analyst Expert to join our team at M&T Bank. As a key member of our Credit Risk Management department, you will be responsible for performing advanced data and statistical analysis to support the creation and maintenance of statistical models.

Key Responsibilities
  1. Lead a team of Quantitative Analysts in establishing, monitoring, evaluating, and interpreting data with a risk management focus, ensuring alignment with business strategy.
  2. Mentor and supervise junior team members, assisting in the development of their statistical modeling acumen in areas such as segmentation analysis, logistic regression, decision trees, and multivariate analysis.
  3. Employ working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
  4. Perform data manipulation and analysis using SQL, SAS, and Microsoft Excel, presenting results and recommendations to Credit Risk Management.
  5. Track portfolio performance and risk strategy results, incorporating observations and data into existing models to improve predictive results.
  6. Provide guidance and direction to lower-level analysts regarding all aspects of data analysis and the construction of predictive statistical models.
  7. Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite, identifying risk-related issues needing escalation to management.
  8. Promote an environment that supports diversity and reflects the M&T Bank brand.
  9. Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  10. Complete other related duties as assigned.
Requirements

To be successful in this role, you will need:

  • A Bachelor's degree or equivalent combination of higher education and/or work experience, including a minimum of 7 years relevant experience.
  • Experience with SAS, SAS Enterprise Miner, and other Statistical Software Packages.
  • Advanced knowledge of SQL and Microsoft Office.
  • Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
  • Demonstrated ability to communicate complex concepts.
  • Demonstrated ability to manipulate and analyze data across large databases.
Preferred Qualifications

Credit Analysis experience is highly desirable.

Location

This role is based in London, United Kingdom.



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