UBS Group AG

Senior Quantitative Risk Specialist - Credit Risk Methodology

Posted on: 22 Feb 2022

Weehawken, NJ

Job Description

Your role

Does quantitative modelling excite you? Are you an innovative thinker and interested in risk topics? Are you an engaged and motivated personality who likes to understand the big picture? We’re looking for a Quantitative Risk Specialist to:

• develop and implement quantitative methodologies for probability of default (PD) and loss-given-default (LGD) modelling of our firm-wide credit risk portfolios
• ensure compliance with ongoing regulatory initiatives
• use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing risk models
•bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models
• collaborate with risk officers, business managers, Risk IT, Change Operations and other various stakeholders supporting the proper implementation and execution of risk models

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

You’ll be working in the Credit Risk Methodology PD & LGD team in Weehawken New Jersey. We are responsible for providing state-of-the-art valuation models to measure credit risk for UBS Global Wealth Management portfolios.
Your main responsibilities will be to develop and maintain our firm-wide valuation models and ensure compliance to the most recent regulatory initiatives.
Your focus of work will be the IRB credit risk models used for the regulatory capital calculation of the US portfolios in UBS Global Wealth Management.

Your expertise

• a Master's or PhD degree in a quantitative discipline
• proven experience in the field of finance/risk analysis, ideally 3+ years in similar role
• strong understanding of statistical and econometric methods and their application
• solid understanding of financial markets and investment products
• solid programming skills (e.g. Python, SAS, R, SQL)
• strong analytical, conceptual and organizational skills
• capable of explaining technical topics in a clear way

*UBS-MOGUL

UBS Group AG

New York, New York

UBS Group AG, together with its subsidiaries, provides financial advice and solutions to private, institutional and corporate client worldwide. It operates through four divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and Investment Bank. The Global Wealth Management division offers investment advisory and solutions to private clients, and high and ultra high net worth clients. This segment provides corporate and banking, lending, wealth planning, investing, lending, asset protection, and philanthropy services, as well as family office services.

The Personal & Corporate Banking division provides financial products and services to private, corporate, and institutional clients. The Asset Management division offers investment products and services comprising equities, fixed income products, hedge funds, real estate and private markets, indexed and alternative beta strategies, and asset allocation and currency investment strategies; customized multi-asset, advisory, and fiduciary services; multi-manager hedge fund solutions and advisory services; and fund corporate governance and white-labeling services.

The Investment Bank division provides advisory, debt and equity capital market, and financing solutions; and market lending services for global wealth management, personal and corporate banking, and asset management businesses serving the corporate, institutional, and wealth management clients. This division also offers cash, derivatives, and financing; foreign exchange, precious metals, rates, and credit; and securities research services. The company was formerly known as UBS AG and changed its name to UBS Group AG in December 2014. UBS Group AG was founded in 1862 and is headquartered in Zurich, Switzerland.

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