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Quantitative Risk Specialist – Credit Methodology

Quantitative Risk Specialist – Credit Methodology

UBS
Kraków
praca stacjonarna
3593 dni temu
Quantitative Risk Specialist – Credit Methodology
Miejsce pracy: Kraków
Nr ref.: 135210BR

Your role


Does financial modeling excite you? Do you have a flair for quantifying value and risk? We’re looking for someone like that who can:

  • Contribute to the constant refinement and improvement of credit risk methods in line with the applicable regulatory and accounting requirements
  • Develop risk-based monitoring tools
  • Extend the set of available risk measures in order to support the work of credit officers and client advisors
  • Work closely with risk officers, reporting teams and IT business analysts to improve quality of credit risk representation and measures
  • Run risk scenarios
  • Suggest improvement in our internal systems

Your team


You’ll be working in the Credit Methodology team in Zabierzów (Kraków Business Park). Our role is to develop and maintenance all firm-wide credit risk models. Those include the Bank's models for assessing default probabilities (PDs), loss given defaults (LGDs), Exposure at Default (EaD for traded products and banking products) and associated credit portfolio models for both the Investment Bank and the Retail & Corporate portfolios. Our team is responsible for developing calculation models for securities lending values and derivatives margins as well as methods for risk control and monitoring on both portfolio and client level. This includes stress testing, expected loss calculation, concentration and liquidity analyses. The team is also responsible for developing and maintaining all valuation tools for real estate collateral as well as any other models supporting business and underwriting processes

 

Your experience and skills


You have:

  • a degree in finance, physics, mathematics, computer science, engineering, econometrics or related
  • understanding of financial markets and products
  • prior working experience in a credit risk environment would be beneficial together with knowledge of regulatory practice

You are:

  • proficient using programming languages (e.g. MatLab, SAS, or R)
  • experienced in analyzing large data sets
  • capable of documenting any model development in a clear way (ability to explain models to non-technical audience)
  • fluent in English
  • excellent communicator

About us


Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.

We are about 60,000 employees in all major financial centers, in almost 900 offices and more than 50 countries. Do you want to be one of us?

 

What we offer

 

Together. That’s how we do things. We offer talented people around the world a supportive, stimulating and diverse working environment. We’ll value your passion and commitment. And reward your performance.

 

Take the next step


Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now.

 

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.

Prosimy o dopisanie klauzuli: Wyrażam zgodę na przetwarzanie moich danych osobowych zawartych w mojej ofercie pracy dla potrzeb niezbędnych do realizacji procesu rekrutacji (zgodnie z Ustawą z dnia 29.08.1997 r. o Ochronie Danych Osobowych; tekst jednolity z dnia 26.06.2014 r., Dz. U. z 2014 r., poz. 1182). Jednocześnie oświadczam, że zostałem/am poinformowany/a o dobrowolności podania danych osobowych oraz prawie dostępu do treści swoich danych i ich poprawiania.
 

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