Risk Modeler

Job Title : Risk Modeler

Risk Modeler

Location : CityScape

CityScape

What you'll do :

The Risk Modeler is part of a team developing risk models for Corporate Commercial Real Estate (CRE), Commercial & Industrial (C&I), and Construction exposures and other WAL portfolios to meet regulatory requirements for Current Expected Credit Loss (CECL) and Dodd-Frank Act Stress Test (DFAST).

The Risk Modeler will also be involved in model development projects related to Dual Risk Rating (DRR).

The Risk Modeler must have graduate training in Economics or Statistics. The Risk Modeler should have excellent verbal and written communication skills to communicate modeling results to non-technical colleagues and to prepare model documentation required for model validation by the Model Risk Management Group (MRMG).

The Risk Modeler will have experience and knowledge of credit loss modeling for commercial or consumer portfolios such as default models, transition models, loss-give-default models, and familiarity with various vendor models.

This position will work with a Modeling Manager to develop the next generation of the Bank’s Credit Loss Models and other non-Credit related models.

In this role, you will contribute to the success of WAL Business Goals

What we are looking for :

Contribute to multiple model development projects for C&I, CRE, Construction, and Residential Mortgage Portfolios

Work with other quantitative analysts in model development

Participate in data analytics, statistical model development, statistical testing, requirement documentation, and implementation testing of multiple and complex models

Partners with portfolio risk managers and line of businesses to develop and implement CECL Models and Non-Modeling Approaches, and Stress Testing Models

Communicates modeling concepts and model assumptions with regulators, auditors, and independent model validation teams

Monitors and improves quality and ensures 'best practices' modeling development techniques

Required Education and Work Experience

Risk Modeler : PhD in a quantitative field (e.g., statistics, economics, mathematics, computer / data science) with 0-2 years experience or a Masters Degree with 4+ years of experience in the financial services industry

Senior Risk Modeler : PhD in a quantitative field with 3+ years experience or a Masters Degree with 7+ years experience.

Preferred Skills / Experience

Data Analysis with large complex data sets and data warehouses

Statistical model development, testing, methodologies, and documentation

Statistical Model implementation and monitoring

CECL and Stress testing concepts and related regulatory guidance (such as the Fed Letter SR11-7)

Working with Independent Model Validators (interaction with validators and model validation findings remediation)

Business analysis and requirements documentation

Programming in SAS, R, or Stata

Experience in model development for CRE, C&I, Construction, and Residential Mortgage

C&I, CRE and Residential Mortgage credit risk modeling knowledge preferred but not required

Accounting rules related to charge-offs, recoveries, and non-accrual accounting

Allowance for Credit Loss accounting rules and regulations

Benefits you’ll love :

We offer all the important things you'd want like competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program.

In addition, you’ll have the opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career!