Quantitative Risk Analyst/Econometrician

☞ UBS

View: 144

Update day: 20-03-2024

Location: Zürich Zürich ZH

Category: Accounting / Auditing Finance / Bank / Stock

Industry: Finance

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Job content

Switzerland - Zürich
Risk
Group Functions

Job Reference #

242456BR

City

Zürich

Job Type

Full Time

Your role

Are you adept at risk matters? Are you interested in working in a team of quants and econometricians? Do you know how to work well within a team to develop and deliver solutions? Then we are looking for you to:
  • create, develop and maintain methodologies for internal and regulatory stress scenario expansion for UBS
  • use techniques from quantitative risk management, statistics, financial econometrics and macroeconometrics to develop, assess, and change models
  • implement models in R/Python and produce clear and detailed documentation for regulators across the globe
  • bring new quantitative modelling ideas to our team to push ahead key projects within our bank

Your team

You’ll be working in Scenario Models team within Forecasting and Scenario Methodology in Zurich with members in the US, UK, Switzerland, Poland, and India. Our role is to develop and maintain financial and macroeconometric forecast models that are used in stress scenarios, to assess the impact of macro-economic and market scenarios on our firm’s profitability and capital adequacy. Our deliveries are key to regulators across the globe, used for accounting standards, and internal capital assessments and business planning. The framework captures all risk types across all businesses world-wide.


Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

  • a Master’s in applied quantitative discipline (e.g. Quantitative Economics, Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance)
  • first experience in building models from scratch (e.g., time series analysis, linear/non-linear models, Gaussian/non-Gaussian models, parametric/non-parametric models)
  • sound knowledge of statistical and econometric methods and their application
  • proficient in programming with statistical software. Python & R is strongly preferred
  • strong analytical, conceptual and organizational skills with the ability to work to tight deadlines
  • general understanding and interest in (macro-) economic mechanisms and their influence on financial markets
  • a clear understanding of the following terms: MonteCarlo, bootstrap, stationarity, co-integration, regression, goodness of fit, out-of-sample, null hypothesis, p-value, risk-neutral, autoregressive, quantiles, density function
  • great in communicating (and you know how to handle challenging situations)
  • a team-player, but able to complete tasks autonomously
  • fluent in English, additional languages are welcome

About us

UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Join us

From gaining new experiences in different roles to acquiring fresh knowledge and skills, at UBS we know that great work is never done alone. We know that it’s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves.

Ready to be part of #teamUBS and make an impact?

Contact Details

UBS Business Solutions AG

UBS Recruiting

Disclaimer / Policy Statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
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Deadline: 04-05-2024

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