- Professional
- Bureau à London
Your role
• Program and maintain standard and bespoke HOLT data files for incorporation in the investment process of clients
• Develop standard access and testing code for delivery to clients alongside the HOLT data
• Conduct quantitative research on HOLT data and alpha signals
• Develop and maintain the HOLT Management Inventive/Governance machine learning algorithms
• Collaborate with the HOLT Model Development group on development of the HOLT model and tools infrastructure
• Collaborate with internal partners across UBS Data Intelligence and UBS as a whole
• Develop subject matter expertise to represent the HOLT Data Products offering to clients
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We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
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Your team
Your expertise
• Advanced programming skills in Jupyter Notebooks, Python, SQL
• Passion for financial markets with an interest in taking on a client-facing role
• Excellent analytical skills and attention to detail
• Inquisitive, self-motivated, team-oriented and demonstrate an ability to work in a time sensitive environment
• Bachelor’s degree (or equivalent) in Accounting, Finance, Computer Science, or Engineering
• ~2 years in a front-office finance role
Preferred Skills
• CFA Charter holder or progress towards
• Quant/Hedge Fund Expertise
• Experience with Machine Learning / AI
About us
We have a presence in all major financial centers in more than 50 countries.