Risk Modelling & Analytics Specialist for Climate Stress Testing
Job Reference #
Are you interested in climate change/risk management? Do you have experience in quantitative risk modeling with a focus on credit risk measurement in financial institutions? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solving quantitative problems? Do you enjoy working in a highly specialized team to develop and deliver solutions? Then we are looking for you to:
• Create, develop and maintain macro-forecasting and stress testing models for credit risk of UBS
• Use techniques from quantitative risk management, financial mathematics and econometrics to develop, assess, and change models
• Understand credit portfolio specifics; discuss requirements, modelling decisions and impacts with business, finance and risk stakeholders
• Analyze credit and macroeconomic data and identify patterns
• Assess and select different possible model specifications and calibrations
• Implement model specification as prototypes mainly using R or Python
• Engage with client advisors and risk officers across the globe to deliver risk measures and management solutions for their specific portfolios
You’ll be working within the Credit Stress Methodology WM Americas team in Zurich. The team has members in US, Switzerland, Poland and India. Our role is to develop and maintain firm-wide credit risk models covering UBS's Retail and Wholesale portfolios and models for RWA forecasting. The results of our models are used to assess the impact of macro-economic scenarios on the firm's profitability, financial statements and capital adequacy. We interact with a number departments across the bank (incl. Front Office, Finance, IT, Credit Risk Management, Business pricing / steering) on a regular basis. For the development of our methodologies, we use techniques from quantitative risk management, financial mathematics and econometrics.
• A graduate or PhD degree a in a quantitative field such as Financial Mathematics, Financial Engineering, Statistics, Econometric or Natural science and working experience in a relevant area is preferred (e.g. climate, finance, …)
• A sound practical understanding of macro- and microeconomic relationships as well as financial markets, banking products and/or climate change and its implications on the financial industry are preferred
• Strong analytical, conceptual and organizational skills with the ability to work to tight deadlines
• Cooperative and team-oriented approach, while able to complete tasks independently with a high quality standard
• Experience with high-level programming language, and knowledge of statistical modeling software (preferably in R or Python)
• Excellent communication skills with colleagues at all levels in the organization
• Able to explain technical concepts in simple terms to facilitate collaboration
• Fluent in English, both in oral and written form
• Self-driven and pro-active in taking new initiatives and carrying them though completion
• Able to deliver high quality results in a fast pace environment with tight deadlines
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?
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?
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.