Quantitative Finance Analyst

Job Description:

Working closely with the Market Risk Methodology, Line of Business Risk Managers and Technology teams, the candidate will provide support for the implementation, testing and rollout of VaR/S-VaR market risk models. With a good working knowledge of market data infrastructure, data flows and market risk models, the candidate will be expected to play a significant role in the business design and risk system requirements, ensuring the completeness and accuracy of all market risk models.

A good understanding of the key risk drivers at product, business and firm-wide levels is required. The ability to communicate to Line of Business Risk Managers potential risks is required.

The candidate will liaise with Line of Business Risk Managers to provide quantitative risk implications of regulatory changes, new product development etc. and enhance market risk models to reflect changes in the business environment. The role requires a flexible approach that can deal with problems that require pragmatic solutions and innovative thinking.

Proactively monitor and remediate any market data issues that is used in production risk measurement and reporting. Ensure the completeness, validity, and accuracy of market data on a daily basis. Work with business data users to define the use of data within various risk systems. Work closely with technology to ensure the timely and accurate data processing on weekly schedule. Implement effective market data controls of our data processes and systems. Participate in user acceptance testing of data control processes. Work with other groups as needed, including Reporting, Back Testing, Enterprise Stress Testing and various Technology groups to ensure effective controls over market data for GBAM.

To be considered minimally qualified, candidates must possess the following
BA/BS or equivalent degree with emphasis in finance or quantitative disciplines (progress toward CFA or FRM professional designation is a plus) strongly desired but will consider proven relevant experience
A broad knowledge across financial products and asset classes and a understanding of Value at Risk (VaR) and its use in the risk management area;
A understanding of capital regulations and how these apply to Market Risk
Advanced desktop technology skills such as Excel and PowerPoint is a must (Bloomberg and Access skills are a plus but not required)
Excellent verbal and written communication skills, including well-developed presentation skills
Some experience in computer programming, VBA, SQL, Python

Shift:

1st shift (United States of America)

Hours Per Week:

40