Model Risk Analyst Validation

Our client, a major bank, looking for talented Model Risk Analyst 100% remote role, must be located in US.
This is a permanent position with great benefits package and competitive compensation
** Must be authorized to work for ANY employer in US - NO H1 Visa support for this role

Model Risk Analyst

Responsible for review and validation of models used by various groups at M&T for varied purposes, including capital stress testing, risk measurement, pricing and profitability, and management decision-making. Work under the supervision of team lead or manager to validate complex models.
Duties and Responsibilities

• Coordinate the engagement of third parties to perform validation; and
• Review the results of third-party validation.
• Perform validation and analysis of expert judgment or qualitative factors that augment quantitative models.
• Review to confirm proper controls and adequate documentation are in place.
• Recommend, as necessary, the cessation of reliance on models that are outdated or inaccurate, as determined by analysis.
• Provide effective challenge during model development and throughout the life cycle of the model.
• Prepare reporting for Management to monitor performance of models.
• Participate in meetings with model owners to discuss current portfolio tracking and business observations.
• Develop knowledge on standard concepts, practices, and procedures within the model validation/risk analytics field.
• Mine data from a variety of sources; Utilize technical skills to manage data and efficiently conduct analyses.
• Develop ad hoc processes to address efficiency gains that translate into repeatable procedures.
• Prepare written summary and analysis of all validation work, using a combination of word processing and presentation software skills.
• Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies.

Qualifications:
Responsible for day-to-day model validation activities. Plan, organize, and produce results.
Bachelor's Degree in Mathematics, Statistics, Business Engineering, Econometrics, or Science-based discipline,
Plus 2 years experience in model development or validation.
Technical knowledge of advanced software packages used in analytics.
Preferred:
Master s degree in Business Administration (MBA) or Advanced degree.