UBS

Quantitative Risk Modeler

Recruiter
UBS
Location
Weehawken, United States - New Jersey
Salary
Competitive salary
Posted
11 Aug 2022
Closes
13 Aug 2022
Ref
243085BR
Approved employers
Approved employer
Job role
Compliance/risk
Your role
Are you interested in risk management? Do you want to become a risk model developer or deepen your expertise? Do you enjoy working in a highly specialized team to develop and deliver solutions? Then we are looking for you to:

• create, develop and maintain stress testing methodologies for risks of UBS
• use techniques from quantitative risk management, financial mathematics and econometrics to develop, assess, and change models
• implement models in R and produce clear documentation for regulators
• bring new quantitative modeling ideas to our team to push ahead key projects within UBS
• interact and discuss with key stakeholders (senior model owner, business representatives, model validation teams, IT and model governance bodies)

Your team
You will be working in the Stress Methodology team in Weehawken, NJ. Our role is to develop and reshape UBS's stress testing framework for assessing the impact of global macro-economic scenarios on the firm's profitability and capital adequacy. The framework captures all risk types across all businesses world-wide. We develop and maintain a suite of scenario-aligned stress risk models and support diverse additional stress-related activities. Your focus will be on pension and equity investment risks.

Your expertise
You have:

• a Master's or PhD degree in a quantitative discipline (e.g., Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance)
• proven track record in risk modelling with expert knowledge of statistical and econometric methods
• a good understanding of financial markets and the banking business, incl. knowledge of financial accounting
• strong analytical, conceptual and organizational skills with the ability to work to tight deadlines
• programming knowledge. Experience in writing code in a statistical or high-level programming language is essential
• very good communication skills and the ability to explain technical topics clearly and intuitively, both written and orally

You are:

• experienced in creating your own models
• proficient in programming with statistical software (e.g. R, Matlab, Python, etc)
• a great communicator (and you know how to handle challenging situations)
• team-orientated, while able to complete tasks independently to high quality standards
• fluent in English

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
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?

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.

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