Northern Trust - Model Validation Role - Market & Liquidity Risk Management (1-5 yrs)

Model Validation - Market and Liquidity Rism

Summary:

Responsible for performing a variety of moderately complex risk analytics and/or capital allocation framework activities for the Corporation. Resolves moderately complex issues in advanced data modeling and measuring risk, allocation of capital for performance measurement or other aspects of risk measurement.

Major Duties:

- Model validation of quantitative models used for Liquidity Risk Management (Stress testing, Liquid Asset Buffer, LCR, NSFR) and Market Risk Management (Derivatives Valuation, VaR, SVaR) Validation of complex analytical models used for CCAR and Asset management purposes across the organization.

- Ensures model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs.

- Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements.

- Develop in-depth knowledge of business unit / function and complex modeling techniques used.

- Independently validate models with focus on accuracy and completeness.

- Adept stake holder management and smooth interaction with various model owners.

- Clearly communicate the complex issues/findings of the model validation outcomes to stake holders.

- Keep abreast with latest regulatory requirements around model risk management.

- Evaluates existing model risk framework in relation to department objectives and industry leading practices.

- Assesses validation requirements and actively provides solutions to enhance the model validation framework.

Knowledge/Skills:

1. Excellent oral and written communication skills are required when interacting with committees and or management.

2. Knowledge of risk measurement required to support function.

3. Analytical and problem solving skills are preferred.

4. Technical skills/systems - Medium Level Knowledge on SAS, Python, Matlab, Advanced Excel, VBA) is preferred.

Experience Required:

1. A College or University degree.

2. Advanced degree in related field (math, statistics, and economics) or equivalent career experience preferred.

3. A relevant work experience of 1 to 5 years is required.

4. Strong Preference for candidates with certifications such as CFA/FRM/CQF.