Quantitative Analyst / Risk & Analytics Specialist
UBS - Salt Lake City, UT

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UBS Corporate Center ensures that all UBS Business Divisions operate as a coherent
and effective whole by providing and managing support and control functions for the business divisions and the Group. This covers areas including risk management and control, finance, legal and compliance, marketing and communications, funding, capital and balance sheet management, management of foreign currency earnings, human resources, information technology infrastructure and service centers.

This role will support the Group Risk Methodology team responsible for development and maintenance of the Bank's Stress Testing, Economic Capital and Credit Loss models. The team has a global remit as the methodologies and analysis it produces encompasses all the relevant risk exposures of each entity of the Group. This particular role will focus on supporting the methodology work for US entities required under the US DFAST or Fed regulatory framework for capital and loss modelling.

A core part of your role will be to help prepare for capital stress and economic capital regulatory submission for one of our primary US entities. You will also need to support the ongoing development of the entity specific stress testing, economic capital and credit modelling frameworks including any run the bank activities. You will need to quickly learn the various methodologies, processes and systems of UBS such that you can help ensure that the US risk methodology framework leverages the group framework to a great extent but meets local requirements within the necessary time frame. You must be able to develop and maintain methodology documentation meeting local regulatory guidelines and deliver projects on time and to a high standard.

You role will involve building good working relationships with stakeholders including senior management in the US, members of methodology across different regions and the business.

Requirements
  • Excellent numerical and quantitative skills to understand and explain various quantitative models
  • Advanced quantitative degree is preferred, but not mandatory (Financial Mathematics, Econometrics, Economics, Physics, Operations Research etc..)
  • 2-3 years of experience with applying techniques from numerical analysis, statistics, and financial mathematics to solve practical problems, e.g. regression analyses, graphical data analyses, statistical testing and simulation approaches
  • 2-3 years of experience with writing model documentation explaining methodologies
  • Hand on experience of the Fed/ FDIC/ Dodd Frank Act guidelines preferred but not mandatory
  • Experience/knowledge in credit risk modelling is a plus
  • Practical understanding of financial markets and products
  • Strong written and verbal communication skills in English
  • The ability to build strong relationships across teams
  • Experience with high-level programming language, and knowledge of statistical modelling software (e.g., SAS, R, Matlab, Mathematica) is a plus

    Preferred Qualifications
    *LI-SM1

    Our Offering
    UBS can offer you an environment geared towards performance, attractive career opportunities, and an open corporate culture that values and rewards the contribution of every individual.

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