Risk Quant - Financial Services - Quant Banking Book - Senior - Consulting

Locations: New York City, Charlotte.

 

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Job Title: Financial Services Risk Management, Quantitative Advisory Services (QAS) Banking Book Senior

 

EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!

EY is currently seeking highly motivated individuals to be part of our Quantitative Advisory Services (QAS) Banking Book team. You will use analytics and quantitative techniques to help our clients solve Financial Services Risk Management issues (in relation to consumer and commercial credit, climate change, consumer compliance/fair lending, risk rating, artificial intelligence/machine learning usage and related) facing the financial services sector, drive business efficiencies, and manage risks and opportunities in banking book portfolios. Our team is engaged in high exposure quantitative service projects related to the development and validation of financial models used for wholesale and retail credit, advanced analytics, and risk management.

Our team brings deep industry knowledge and quantitative modeling experience to support our clients in the evolving regulatory landscape and financial services market. As a member of the EY team, you will have the opportunity to work with a variety of clients, learn on the job, and build insight into the market landscape.

 

The opportunity

As part of our Advisory Services, you’ll have the opportunity to team with a variety of QAS professionals and clients to deliver professional services and actively participate in our growing practice. You’ll work on client assignments that will help you deepen and broaden your skills, while gaining valuable and rewarding experiences. With each engagement, you can expect to build leadership, communication, and client management skills, as well as sharpen your problem-solving capabilities.

 

Your key responsibilities

As a Senior in QAS, your primary responsibilities will include delivering services in wholesale and retail credit risk, risk management and governance, model development and implementation, model/system documentation, and model benchmarking, while establishing relationships with client personnel at appropriate levels and consistently delivering quality client services.

Other responsibilities may include:

• Performing detailed data analysis to help clients solve business problems and complex issues in the financial services industry, including model development, documentation, testing, validation, benchmarking, and implementation.
• Supporting the development of mathematical/statistical models used to develop analytical tools or financial instruments.
• Applying quantitative techniques to help institutions develop and validate credit risk modelling methodologies.
• Reaching conclusions, documenting results, and suggesting ideas for efficiencies.

 

Skills and attributes for success

• Perform advanced analytical analyses and apply critical thinking to help our clients solve business issues
• Demonstrate in-depth technical capabilities, ability to apply analytical tools / techniques to various business analyses and professional knowledge
• Communicate and interpret deep technical concepts to both technical and non-technical client stakeholders
• Maintain an ambitious attitude toward finding innovative solutions to challenging problems

• Bring functional experience in credit risk modelling and demonstrate knowledge of risk management function processes and overall model lifecycle management
• Have functional knowledge related to some of the following: broad credit risk modeling, wholesale modeling (e.g., CRE and C&I), retail modeling (e.g., mortgage and credit card, other consumer loans), applicability of models in the context of CCAR/CECL/IFRS 9, risk mana