Quantitative Analyst, SBL & Other Traded Products Models
Job Reference #
Do you have a proven record of driving lasting business impact by developing state-of-the-art quantitative models, applications and strategies? Are you an expert of the market, client needs and best practice application of trading, investment, and risk processes?
At UBS, we re-imagine the way we work, the way we connect with each other – our colleagues, clients and partners – and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.
We are looking for a Quantitative Risk Analyst to:
•develop methodologies to determine lending values for all products in our Lombard portfolio for UBS Group
•use techniques from quantitative risk management, financial mathematics and econometrics to develop and change existing lending value risk models.
•bring innovation to the Risk Methodology Group in the development, refinement and implementation of risk models
•implement prototype models in R, Python, C++ or SQL, before being embedded into the productive risk infrastructure
•collaborate with risk officers, business managers, Risk IT, Change Operations and other stakeholders supporting the proper implementation and execution of risk models and support regulatory exercises
You’ll be working in the Credit Risk Models Stream within Securities Backed Lending (SBL) & Other Traded Products Models Crew in Kraków or Wrocław focusing on Lombard methodologies for world-wide businesses ranging from retail clients to complex structured lending solutions for UHNW clients. You will be working with key stakeholders within our Global Wealth Management business on both the risk and the business side to deliver state of the art methodologies and support new business initiatives.
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.
•a Master's or PhD degree in an applied quantitative discipline (e.g. Econometrics, Statistics, Financial Engineering, Economics, Finance)
•at least 1-2 years' of experience in credit risk modelling or other areas of risk methodology and/or model development
•sound knowledge of statistical and econometric methods and their application
•capable of documenting any model development in a clear way
•strong IT / programming skills. Previous experience and ability to implement models in a programming language (e.g., R, Python, C++, SQL) is essential and experience with handling large datasets is a plus
•strong analytical, conceptual and organizational skills with the ability to work under tight deadlines
•interest in placing model development activities within the bigger picture of the organisation
•ability to influence and convince key stakeholders within the model development process
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?
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.