Associate Portfolio Manager
Maven · Not provided by source
MeritLog read this listing from Maven's Greenhouse job board and last checked it on September 11, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- London
Hiring context
How this role compares at Maven
Maven has 46 live roles in MeritLog’s catalog across 9 job families, and 14 of them are in data & analytics. 1 of those listings publish a pay range, a disclosure rate of 2%.
Maven concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
Maven’s Systematic Alpha group is looking for outstanding portfolio managers to join its global expansion. The team deploys methodically researched strategies across futures, options and equities. Our approach to trading is scientific and process driven, with a strong emphasis on a flexible research environment, providing us efficient means to develop, test, and deploy new ideas. The Role: An excellent opportunity to research, develop and implement systematic strategies in listed instruments such as futures or FX. Full ownership of the life-cycle of trade/strategy ideas; monitor and manage portfolio risk to optimise risk/reward profile. We also encourage an environment of collaboration with our Quant PMs. What we’re looking for: The successful candidates will demonstrate a deep understanding of the particular systematic inefficiency they attempt to capture. They'd have been heavily involved in the research of the strategy as well as its implementation, and are able to develop new strategies from idea to implementation. • 3+ years experience as a PM, or 4-5 years as an assistant PM; • Realised Sharpe >2.5; • Display track record of strategy; • Deep understanding of strategy; • Strong coding skills; • Strong researching skills; • Masters or PHD in scientific subject; • Experience working with large time series data; • Excellent programming skills with experience in Python or Julia Why you should apply: • Join a highly rewarding, collaborative and highly successful trading firm • A flexible research environment to develop, test, and deploy new ideas • A great engineering environment whereby technology is key to our success • A environment where you’re empowered and supported to achieve your ambitions • Great friendly, informal and highly rewarding culture