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Job Details

Maven logo
Proprietary Trading

Associate Portfolio Manager

at Maven

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Join Maven’s Systematic Alpha group to research, develop and implement systematic strategies in listed instruments such as futures and FX. You will own the full lifecycle of trade/strategy ideas, monitor and manage portfolio risk, and collaborate closely with Quant PMs in a flexible, engineering-driven research environment. The role requires a demonstrated track record (realised Sharpe >2.5), strong coding and research skills, and experience working with large time-series data. An advanced degree (Master's or PhD) and proficiency in Python or Julia are expected.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full 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

Job Details

Maven logo
Proprietary Trading

17 days ago

clicks

Associate Portfolio Manager

at Maven

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Not specified

Country: Not specified

Join Maven’s Systematic Alpha group to research, develop and implement systematic strategies in listed instruments such as futures and FX. You will own the full lifecycle of trade/strategy ideas, monitor and manage portfolio risk, and collaborate closely with Quant PMs in a flexible, engineering-driven research environment. The role requires a demonstrated track record (realised Sharpe >2.5), strong coding and research skills, and experience working with large time-series data. An advanced degree (Master's or PhD) and proficiency in Python or Julia are expected.

Full 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