Economic and Credit Risk Modelling Specialist – Remote Option

Poland

Risk

Group Functions

Job Reference #

246206BR

City

Gdańsk, Kraków, Warsaw, Wroclaw

Job Type

Full Time

Your role

Are you interested in quantitative risk modelling and knowledgeable of statistical, mathematical and econometrical models used in the financial industry? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solve quantitative problems, especially with respect to climate risk?

We’re looking for an economic and credit risk modelling specialist to:
• Bring innovation in the development of macro-economic forecasting models in line with international regulatory and accounting requirements in the context of climate risk
• Perform and document model performance and confirmation analysis
• Support ongoing regulatory initiatives to manage our risk e.g. CECL, IFRS9, Basel IV
• Communicate technical information to Senior Management, Client Advisors, Risk Officers and Subject Matter Experts.

Your team

You’ll be working in the Expected Credit Loss & Credit Stress Methodology team within the Credit Risk Methodology department in Krakow or remotely from other parts of Poland.

We develop, refine, implement and maintain mathematical, statistical and stress testing models to measure credit risk of the UBS Private & Corporate, Wealth Management International and Investment Bank portfolios for regulatory and business steering purposes. We interact with a number of departments across the bank including 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. Models are implemented mainly in R, Python and / or SAS, before being embedded in the productive risk infrastructure.

Your expertise

• Master's or PhD degree in a quantitative discipline (e.g. Financial Engineering, Economics, Finance, Econometrics, Mathematics, Statistics)
• Demonstrable experience of coding (e.g. SAS, R, Python)
• Experience with large data sets / big data is a plus
• Prior work experience in risk, finance or treasury environment
• Fluent in English, both verbal and written form

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?

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.