Manager, Risk Analytics/Modeling

Your opportunity

The Manager, Risk Analytics/Modeling will support the development of macroeconomic scenarios by applying quantitative techniques to economic and financial data to identify key macro trends and economic risks that could impact the business. This role is situated within the Financial Risk Management group and reports to the Director of Market Risk Management. This is an Individual Contributor role with no direct reports.

Key responsibilities will include, but not be limited to:

• Support the development of macroeconomic scenarios by staying current on economic and financial conditions, identifying key macro trends that could impact the business, and evaluating risks to the economic outlook.

• Prepare and update economic and financial data, apply statistical techniques to analyze data, summarize data in charts and graphs, and prepare presentation materials for senior management.

• Support all aspects of macroeconomic scenario design for CCAR Stress Testing and CECL.

• Manage a third-party macroeconomic model by conducting performance monitoring, maintaining model and process documentation, and enhancing reporting processes.

• Contribute to the maintenance of source code, data pipelines and centralized repositories that enable automated reporting and analytics.

What you have

The Manager, Risk Analytics/Modeling must have a strong understanding of macroeconomic fundamentals and quantitative and analytical techniques, including implementing these techniques in a programming environment. Furthermore, you should have experience preparing presentation materials and documentation for senior management.

The following qualifications are required:

• Minimum of 4 years of relevant work experience

• A Bachelor’s degree in a quantitative discipline such as economics, statistics, finance, computational mathematics, or similar fields

• 1 year of Schwab risk analytics experience gained as a current or recent contractor or employee

• Experience conducting statistical analyses in a programming environment 

• Strong understanding of macroeconomic concepts

• Excellent verbal and written communication skills with the ability to translate economic and statistical concepts into easily understood language

• Self-motivated, able to multi-task and work under strict deadlines

The following qualifications are preferred:

• Master’s degree or advanced certification

• Experience conducting time series analysis

• Exposure to econometric modeling

• Experience using SQL

• Experience with Eviews, R, Python, and/or C#

• knowledge of Banking or Financial services