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UBS
UBS
location iconLocations: Gdańsk
level iconLevel: specialist
time iconWorking hours: Full time
Quantitative Risk Specialist – Remote Option

Quantitative Risk Specialist – Remote Option

Poland

Risk

Group Functions

Job Reference #

243796BR

City

Gdańsk, Kraków, Warsaw, Wroclaw

Job Type

Full Time

Your role

Are you interested in quantitative risk modelling and knowledgeable of statistical, mathematical or econometrical models used in the financial industry? Do you have experience in mathematical finance or you have relevant academic background in this area? Are you an innovative thinker who likes to challenge the status quo and apply new analytical techniques to solve quantitative problems?

We’re looking for a quantitative risk specialist to:

• Support the development and the maintenance of models and methodologies used for risk management and stress testing of Global Wealth Management portfolios of UBS
• Help develop prototype codes that will be used in productive systems on the Cloud
• Promptly respond to requests from stakeholders
• Communicate technical information to stakeholders

Your team

You’ll be working in the Expected Credit Loss & Credit Stress Methodology team within the Credit Risk Methodology department in our office 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 Wealth Management portfolios for regulatory and business steering purposes. For the development of our methodologies we use techniques from quantitative risk management, financial mathematics and econometrics. Models are implemented mainly in R and / or Python, before being embedded in the productive risk infrastructure on the Cloud.

Your expertise

• Good communication skills
• Master's or PhD degree in a quantitative discipline (e.g. Financial Engineering, Economics, Finance, Econometrics, Mathematics, Statistics)
• Sound knowledge of statistical and econometric methods and their application
• Coding skills with statistical modelling software (R or Python) is a minimum
• 2-3 years of work experience in credit risk (Pillar II and / or Pillar I) is a plus
• Experience with large data sets / big data
• 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.

Please submit your application in English

You are kindly requested to include the following clause in your application: "Wyrażam zgodę na przetwarzanie moich danych osobowych zawartych w ofercie pracy dla potrzeb procesu rekrutacji zgodnie z ustawą z dnia 27.08.1997r. Dz. U. z 2002 r., Nr 101, poz. 923 ze zm."

Details

  • iconAnalytics & Reporting, Banking
  • iconEnglish
  • iconGdańsk, Wrocław, Warszawa, Kraków, pomorskie, dolnośląskie, mazowieckie, małopolskie

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