Team Lead, Risk Modeling & Analytics
- Recruiter
- UBS
- Location
- Weehawken, United States - New Jersey
- Salary
- Competitive salary
- Posted
- 07 Feb 2023
- Closes
- 28 Feb 2023
- Ref
- 256507BR
- Approved employers
- Approved employer
- Job role
- Compliance/risk
- Sector
- Accounting - Public practice
Your role
Are you experienced in credit risk modeling, credit stress testing or time series analysis with a focus on residential mortgages? Do you enjoy working with an innovative team to deliver high quality modeling solutions to new evolving requirements? We're looking for someone like you to:
• assume responsibilities for the development and maintenance of credit models for the corporates and retail portfolios (incl. PD/LGD/EAD), especially the development of a retail mortgage stress model in the context of CCAR
• assume responsibilities for the development of stress testing / macro-economic forecasting models in line with the international regulatory and accounting requirements
• engage with client advisors and risk officers across the globe to deliver risk measures and management solutions for their specific portfolios
• support key regulatory projects as required e.g. US CECL, CCAR/DFAST, IFRS9, Basel IV and other support regulatory exercises
Your team
You'll be working within the Credit Methodology teams in Zürich, Weehawken, Stamford, Salt Lake City, or Dallas, which are part of group-wide UBS Risk Methodology. Our role is to develop and maintain all firm-wide credit risk models
Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your expertise
• a graduate or PhD degree a in a quantitative field such as Financial Mathematics, Statistics or Econometrics
• sound knowledge of statistical and econometric methods and their application
• a sound practical understanding of macro- and microeconomic relationships as well as financial markets and banking products
• detailed practical knowledge of credit risk modeling for a retail mortgage portfolio is essential
• ideally 10+ years of experience in a credit risk environment together with knowledge of regulatory practice
• experience in mortgage stress testing
• a track record of delivering under time and resource constraints
• experience in leading a small team of developers is preferred.
• experience with high-level programming language, and knowledge of statistical modeling software (preferably in R)
• experience with large data sets / Big Data is beneficial
• 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
• skilled giving and receiving constructive feedback
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.
Are you experienced in credit risk modeling, credit stress testing or time series analysis with a focus on residential mortgages? Do you enjoy working with an innovative team to deliver high quality modeling solutions to new evolving requirements? We're looking for someone like you to:
• assume responsibilities for the development and maintenance of credit models for the corporates and retail portfolios (incl. PD/LGD/EAD), especially the development of a retail mortgage stress model in the context of CCAR
• assume responsibilities for the development of stress testing / macro-economic forecasting models in line with the international regulatory and accounting requirements
• engage with client advisors and risk officers across the globe to deliver risk measures and management solutions for their specific portfolios
• support key regulatory projects as required e.g. US CECL, CCAR/DFAST, IFRS9, Basel IV and other support regulatory exercises
Your team
You'll be working within the Credit Methodology teams in Zürich, Weehawken, Stamford, Salt Lake City, or Dallas, which are part of group-wide UBS Risk Methodology. Our role is to develop and maintain all firm-wide credit risk models
Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your expertise
• a graduate or PhD degree a in a quantitative field such as Financial Mathematics, Statistics or Econometrics
• sound knowledge of statistical and econometric methods and their application
• a sound practical understanding of macro- and microeconomic relationships as well as financial markets and banking products
• detailed practical knowledge of credit risk modeling for a retail mortgage portfolio is essential
• ideally 10+ years of experience in a credit risk environment together with knowledge of regulatory practice
• experience in mortgage stress testing
• a track record of delivering under time and resource constraints
• experience in leading a small team of developers is preferred.
• experience with high-level programming language, and knowledge of statistical modeling software (preferably in R)
• experience with large data sets / Big Data is beneficial
• 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
• skilled giving and receiving constructive feedback
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.