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Model Risk Analyst Validation - Paramus, United States - Brains Workgroup
Description
Our client, a major bank, looking for talentedModel Risk Analyst 100% remote role,
must be located in US.
This is a permanent position with great benefits package and competitive compensation
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Recommend, as necessary, the cessation of reliance on models that are outdated or inaccurate, as determined by analysis.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 (SAS,Python, R and etc.).
Preferred:
Master's degree in Business Administration (MBA) or Advanced degree.
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model risk mrm python analyst regulatory governance erm enterprise
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