Cash Equities CRB Quant Developer
UBS Group AG - Location not specified
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Cash Equities CRB Quant Developer • We are seeking an experienced candidate to join our Cash Equities CRB Quantitative Developer team within UBS Global Markets • This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class Cash Equities platform • The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line • You will be operating within a high-performing, fast paced quant development team, whose goals are directly aligned to the success of the business • You will take ownership of initiatives from initial analysis through to design, implementation and delivery • You will proactively suggest and drive through improvements to the platform and our framework • You will be involved in every aspect of algorithmic trading: o Market connectivity o Designing, implementing and back-testing hedging, risk management and execution strategies o Designing and building analytics to assess model and platform performance o Latency analysis and optimisation o Enhancing the proprietary eTrading framework that is used across the department
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