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Quantitative Analyst (Credit Risk Modelling)
Eingestellt von Experis AG
Gesuchte Skills: Client, Matlab, Engineering, Network
Projektbeschreibung
Experis recognises you are more than just a CV, a job title or job description. We'll work with you to understand your unique talents, experience and interests to help propel you to your goals faster. Experis will leverage our extensive client network to help you accelerate your career and realise your potential to them.
On behalf of our client, one of the largest financial institutions, we are looking for a QUANTITATIVE ANALYST (CREDIT RISK MODELLING). For this 12 MONTH CONTRACT with renewal position based in Zürich, our client is looking for an English speaking candidate, who is AVAILABLE AS OF LATE NOVEMBER OR DECEMBER.
BUSINESS AREA:
Supporting Credit Analytics which is responsible for the methodology and development of credit risk relevant models used for Risk management and Capital calculation across all divisions, including Credit Economic Risk Capital (ERC) model, Credit Counterparty model, and parameter calibration models for the AIRB calculation.
KEY RESPONSIBILITIES:
- Supporting on the methodology development for the Credit Economic Risk Capital (ERC) model including work on eg data/statistical analysis, model design, prototype implementation, requirements capture in IT specification, documentation up to SR11-7 standards, support on review process by Model Risk Management, support on governance.
- Specific focus of this role would be on the collateral concentration risk framework/methodology - which is a regulatory requirement - which needs to be designed and incorporated into the existing Credit ERC model, incl. prototype implementation/requirements capture in IT specifications as well as documentation.
- Person would need to deal with a wide range of trading and banking book products/exposures, most importantly derivatives and SFT exposures.
WHO I AM LOOKING FOR:
- PhD or Master's degree in a quantitative subject (eg mathematics, physics or engineering), ideally with a strong curriculum in statistics/econometrics, quantitative finance or similar
- MINIMUM 4 YEARS OF EXPERIENCE IN CREDIT RISK MODELLING, ideally with an understanding of Credit Portfolio Modelling or at least a simple model of this
- COMPREHENSION OF WHAT IMM EXPOSURE IS in principle rather than modelling experience
- RECENT MATHEMATICAL & STATISTICAL ACTIVITIES to be able to provide credit equations (must be able to give a clear, succinct explanation of what they have done using mathematical & statistical methods) therefore candidate should be either a fairly recent Mathematical graduate or someone that has recent hands-on risk modelling experience & whose knowledge is fresh
- Must be capable of writing clear technical documents using mathematical & statistical methodologies
- Must have R PROGRAMMING SKILLS AND/OR MATLAB (does not need to be an expert) must be used to very large amounts of code (15'000 lines of code) will be expected to be able to understand, update & extend this code using R
- Fluent in English
Are you interested in this opportunity? Kindly send us your CV today through the link in the advert. In case of any questions, please contact Doris Wen on (see below).
Experis IT is Europe's leading IT&T recruitment agency.
On behalf of our client, one of the largest financial institutions, we are looking for a QUANTITATIVE ANALYST (CREDIT RISK MODELLING). For this 12 MONTH CONTRACT with renewal position based in Zürich, our client is looking for an English speaking candidate, who is AVAILABLE AS OF LATE NOVEMBER OR DECEMBER.
BUSINESS AREA:
Supporting Credit Analytics which is responsible for the methodology and development of credit risk relevant models used for Risk management and Capital calculation across all divisions, including Credit Economic Risk Capital (ERC) model, Credit Counterparty model, and parameter calibration models for the AIRB calculation.
KEY RESPONSIBILITIES:
- Supporting on the methodology development for the Credit Economic Risk Capital (ERC) model including work on eg data/statistical analysis, model design, prototype implementation, requirements capture in IT specification, documentation up to SR11-7 standards, support on review process by Model Risk Management, support on governance.
- Specific focus of this role would be on the collateral concentration risk framework/methodology - which is a regulatory requirement - which needs to be designed and incorporated into the existing Credit ERC model, incl. prototype implementation/requirements capture in IT specifications as well as documentation.
- Person would need to deal with a wide range of trading and banking book products/exposures, most importantly derivatives and SFT exposures.
WHO I AM LOOKING FOR:
- PhD or Master's degree in a quantitative subject (eg mathematics, physics or engineering), ideally with a strong curriculum in statistics/econometrics, quantitative finance or similar
- MINIMUM 4 YEARS OF EXPERIENCE IN CREDIT RISK MODELLING, ideally with an understanding of Credit Portfolio Modelling or at least a simple model of this
- COMPREHENSION OF WHAT IMM EXPOSURE IS in principle rather than modelling experience
- RECENT MATHEMATICAL & STATISTICAL ACTIVITIES to be able to provide credit equations (must be able to give a clear, succinct explanation of what they have done using mathematical & statistical methods) therefore candidate should be either a fairly recent Mathematical graduate or someone that has recent hands-on risk modelling experience & whose knowledge is fresh
- Must be capable of writing clear technical documents using mathematical & statistical methodologies
- Must have R PROGRAMMING SKILLS AND/OR MATLAB (does not need to be an expert) must be used to very large amounts of code (15'000 lines of code) will be expected to be able to understand, update & extend this code using R
- Fluent in English
Are you interested in this opportunity? Kindly send us your CV today through the link in the advert. In case of any questions, please contact Doris Wen on (see below).
Experis IT is Europe's leading IT&T recruitment agency.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik