Essential Job Functions 

• Process and Project Management: Conducts model validations independently with supervision. Maintains a basic functional knowledge of model risk concepts and works with the business units to communicate key guiding principles. Performs end-to-end validations/testing of basic or less complex models/tools. Internal and client facing with oversight, guidance and review from management. Validation/testing involves identifying the key risks associated with a model, planning a risk-based validation approach and scope. Designs and conducts validation tests, recognizing gaps in model risk management and governance, and drafting a model validation report.

• Quality Assurance: Checks the model’s accuracy and demonstrates the model is robust and stable. Assesses potential limitations and evaluating the model’s behavior over a range of input values. Assesses the impact of assumptions and identifies situations where the model performs poorly or becomes unreliable. Evaluates formal results of analysis performed and drafts formal model validation documentation and proposed risk rating assessment. 

• Business Communications and Relationships: Demonstrates professional and proficient verbal and written communication skills when working with internal and external partners. Builds relationships by establishing trust, confidence and credibility with senior leaders, executives, and internal partners. Is proactive, demonstrates a strong work ethic, and shows initiative to build the business in a result driven environment. Utilizes critical thinking skills to help analyze business issues, collaborates with stakeholders to resolve problems, is strategic and flexible when needed, and gains consensus on the best solution.

Reports to:

• Lead or above

Working Conditions/ Physical Requirements:

• Normal office environment, some travel may be required.

Direct Reports:

• None  

Minimum Qualifications: 

• Bachelors’ degree in Engineering, Statistics, Mathematics, Economics or any other related quantitative discipline.

• Experience or academic training in quantitative methods

Preferred Qualifications:

• Master's degree in Engineering, Statistics, Mathematics, Economics or any other related quantitative discipline

• One or more years experience in the financial services industry as well as experience in risk management.

Skills:

• Machine Learning

• Python

• SQL

• Linear Regression 

• Logistic Regression