CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
Your role Do you have experience in quantitative credit risk and portfolio construction, risk management and alpha generation as well as an understanding of the fundamental investment process and trading? Do you have fluent coding skills in Python, R and/or Matlab as well as data bases like SQL? We're looking for someone like that who can:
Design, implement and refine portfolio and risk reports and analytics using systems including Bloomberg, FrontArena and proprietary software
Proactively analyze and interpret portfolio and risk reports together with the credit investment team
Make recommendations on optimal portfolio construction and hedging
Systematize discretionary investment processes to scale our process to a larger investment universe
Build, analyze and back test systematic credit factors and investment signals
Interact and coordinate your efforts with the investment, market risk and technology teams
Your team We are the Investment Engineering team within O'Connor, the hedge fund unit of UBS. Our team leads the quantitative and data science effort directly for the Chief Investment Officer and our mandate is to enhance risk-adjusted returns for our fund investors through the use of quantitative and data science techniques. The team invests in US and European investment grade and high yield credits, and you will be working directly with the investment team on a variety of quantitative aspects ranging from implementing systems, through analyzing portfolios and risk, to generating trade ideas.
Your experience and skills You Have:
Experience in quantitative credit risk or investment research for 3-5 years at buy-side or sell-side financial services or financial technology vendors
Understanding of quantitative credit portfolio construction, risk management and alpha generation
Understanding of fundamental credit investment process and trading
A graduate or advanced degree in a relevant quantitative discipline with CFA favorable
Fluent coding skills in Python, R and/or Matlab as well as data bases like SQL
Knowledge of FrontArena, Bloomberg, Barclays POINT producing (credit) portfolio analytics
Ability and desire to learn quickly and find creative solutions to business and technology problems
Good communication and presentation skills and the ability to explain technical concepts to a non-technical audience
What we offer Together. That's how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance.
Take the next step Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now.