Quantitative Risk Modeler/Analyst
- Employer
- UBS
- Location
- Kraków, Poland
- Salary
- Competitive
- Closing date
- Sep 17, 2024
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- Job Function
- Accounting/Audit/Tax
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Your role
Are you adept at risk matters? Are you interested in working in a team of quants? Do you know how to work well within a team to develop and deliver solutions? If so, UBS is looking for a motivated self-starter to:
• develop methodologies to assess risks for UBS Group and different legal entities around the globe from a statistical perspective
• analyze diverse portfolio data and risks, and build statistical models
• Gain thorough understanding of systems and processes involved in building, delivering, and managing statistical models and be able to deliver changes.
• Communicate to build relationships and liaise with key stakeholders across different teams to ensure smooth delivery of implementation.
• construct and analyze statistical loss distributions of underlying macro-financial risk drivers
• discuss model requirements and assumptions with stakeholders within the Bank
• Proactively understand changes at the organizational level in terms of IT architecture and business processes, and communicate how this will impact the environment in which models operate.
Your team
You'll be working in the Statistical Risk Aggregation Methodology team in the area of Market and Investment Risk. Our role is to develop, maintain, and apply UBS' statistical risk aggregation framework to assess the impact of simulated stress scenarios on the firm's profitability and capital adequacy, implement ad-hoc analysis required by different stakeholders, work jointly with IT to implement model updates in the IT infrastructure, conduct annual confirmations and review controls to ensure that the our models are still good for purpose.
Your expertise
You have:
• a Master's degree in a quantitative discipline (e.g. Economics, Econometrics, Finance, Financial Engineering, Mathematics, Physics, Statistics)
• sound knowledge of statistical and econometric methods and their applications
• general understanding and interest in banking and financial market
• experience in quantitative (risk) modelling
• willingness to participate in project development/project management
• organizational skills with the ability to deliver results within tight deadlines
You are:
• an excellent communicator, with strong interpersonal skills
• a flexible, resilient team player with a positive attitude
• adaptable, able to work across teams and functions
• strong analytical, problem-solving, and synthesizing skills (you know how to figure things out)
• an expert user of R and/or Python, knowledge of functional programming and object-oriented programming is preferred
About us
UBS is the world's largest and the 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..
We have a presence in all major financial centers in more than 50 countries.
Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, 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?
Are you adept at risk matters? Are you interested in working in a team of quants? Do you know how to work well within a team to develop and deliver solutions? If so, UBS is looking for a motivated self-starter to:
• develop methodologies to assess risks for UBS Group and different legal entities around the globe from a statistical perspective
• analyze diverse portfolio data and risks, and build statistical models
• Gain thorough understanding of systems and processes involved in building, delivering, and managing statistical models and be able to deliver changes.
• Communicate to build relationships and liaise with key stakeholders across different teams to ensure smooth delivery of implementation.
• construct and analyze statistical loss distributions of underlying macro-financial risk drivers
• discuss model requirements and assumptions with stakeholders within the Bank
• Proactively understand changes at the organizational level in terms of IT architecture and business processes, and communicate how this will impact the environment in which models operate.
Your team
You'll be working in the Statistical Risk Aggregation Methodology team in the area of Market and Investment Risk. Our role is to develop, maintain, and apply UBS' statistical risk aggregation framework to assess the impact of simulated stress scenarios on the firm's profitability and capital adequacy, implement ad-hoc analysis required by different stakeholders, work jointly with IT to implement model updates in the IT infrastructure, conduct annual confirmations and review controls to ensure that the our models are still good for purpose.
Your expertise
You have:
• a Master's degree in a quantitative discipline (e.g. Economics, Econometrics, Finance, Financial Engineering, Mathematics, Physics, Statistics)
• sound knowledge of statistical and econometric methods and their applications
• general understanding and interest in banking and financial market
• experience in quantitative (risk) modelling
• willingness to participate in project development/project management
• organizational skills with the ability to deliver results within tight deadlines
You are:
• an excellent communicator, with strong interpersonal skills
• a flexible, resilient team player with a positive attitude
• adaptable, able to work across teams and functions
• strong analytical, problem-solving, and synthesizing skills (you know how to figure things out)
• an expert user of R and/or Python, knowledge of functional programming and object-oriented programming is preferred
About us
UBS is the world's largest and the 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..
We have a presence in all major financial centers in more than 50 countries.
Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, 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?
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