AVP - Model Risk Management - BFSI/KPO

- The AVP, Model Validation is responsible for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires high level of expertise with minimal technical supervision to serve as project lead as well as being accountable for validation results on a wide range of model categories.

Essential Responsibilities:

- Assess the appropriate and optimal use of models such as credit, fraud, collections, marketing, treasury, loss forecasting, capital planning, stress testing, compliance etc.

- Serve as a pivotal role as a lead analyst performing model validation and managing reviewers with their independent model validation projects.

- Lead the review and maintenance of relevant model and model validation documentation, perform in depth analysis and processing of large data sets, and prepare analysis and reports to support discussions on key analytics and identification of model risks with remediation plan.

- Perform effective challenge on the advanced quantitative assessments of all aspects of models including theoretical aspects, model design and implementation, data integrity and reliability.

- Work closely within the Risk organization on model related risks to ensure such risks are well covered and have appropriate controls.

- Liaise with the company business teams to uncover and highlight risk associated with models.

- Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the company functions.

- Support regulatory examinations and internal audits of the modeling process and selected models samples.

- Continuously drive better model risk management practices and add value to the business through more efficiency, stronger controls, better process, and strong partnership with model stakeholders.

- Perform other duties and/or special projects as assigned

Qualifications / Requirements:

- Minimum Master's degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative field and 5+ years' experience in model development / model validation experience in financial services, banking, or retail.

- 5+ years hands-on experience with one or more statistical tools including Python, R, SAS, and SQL, SPARK, and Data Lake.

- 5+ years of statistical analysis and the handling large amounts of data and analyzing for trends.

- 5+ years' experience with the application of US regulatory requirements for Model Risk Management.

Desired Characteristics:

- Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements.

- 7+ years in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.

- Experience in people and project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.

- Experience of working in a matrix organization with multiple stakeholders.

- Sharp focus on accuracy with extreme attention to detail.

- Knowledge of Credit Card/Consumer Finance products and business model.

- Excellent written and oral communication and presentation skills.

- Experience with Machine Learning / AI methodologies and related applications.