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Job Details

Durlston Partners logo
Recruitment Agencies

Quantitative Developer

at Durlston Partners

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

A Systematic Hedge Fund in Central London is seeking a Python Quantitative Developer to implement and optimise signals and trading algorithms and to support portfolio managers and researchers. The role includes building tools for signal generation, developing and supporting a quantitative trading framework, and improving performance and architecture. Competitive compensation of up to £150,000 base plus bonus and potential sign-on; the firm offers a flat, collaborative environment with opportunities for impact and growth.

Compensation
Up to £150,000 GBP

Currency: £ (GBP)

City
London
Country
United Kingdom

Full Job Description

Quantitative Developer

Systematic Hedge Fund

Up to £150k base + excellent bonus + potential sign-on

A successful Systematic Hedge Fund with excellent returns based in Central London is looking for a Python Quant Developer to join their Quantitative Development Team which helps researchers and portfolio managers implementing and optimising their signals and trading algorithms.

 

Our client has a flat structured, transparent and collaborative environment. You will have plenty of opportunity to grow and have an important impact on the business and PnL.

 

Responsibilities:

 

  • Implement and optimise signals and trading algorithms for various PM Teams
  • Build tools for signal generation
  • Work with traders and quants to roll-out, support and run strategies
  • Build and support new quantitative trading framework
  • Design clean architecture and leverage state of the art tools and components
  • Bring new ideas and experimenting with new technologies

 

Requirements:

  • Strong programming skills with Python (including performance optimization)
  • Knowledge of data structures and algorithms
  • Experience working in a front office environment with researchers and traders
  • Excellent communication skills
  • Strong education background in STEM

 

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.

Job Details

Durlston Partners logo
Recruitment Agencies

17 days ago

clicks

Quantitative Developer

at Durlston Partners

ExperiencedNo visa sponsorship

Up to £150,000

GBP

City: London

Country: United Kingdom

A Systematic Hedge Fund in Central London is seeking a Python Quantitative Developer to implement and optimise signals and trading algorithms and to support portfolio managers and researchers. The role includes building tools for signal generation, developing and supporting a quantitative trading framework, and improving performance and architecture. Competitive compensation of up to £150,000 base plus bonus and potential sign-on; the firm offers a flat, collaborative environment with opportunities for impact and growth.

Full Job Description

Quantitative Developer

Systematic Hedge Fund

Up to £150k base + excellent bonus + potential sign-on

A successful Systematic Hedge Fund with excellent returns based in Central London is looking for a Python Quant Developer to join their Quantitative Development Team which helps researchers and portfolio managers implementing and optimising their signals and trading algorithms.

 

Our client has a flat structured, transparent and collaborative environment. You will have plenty of opportunity to grow and have an important impact on the business and PnL.

 

Responsibilities:

 

  • Implement and optimise signals and trading algorithms for various PM Teams
  • Build tools for signal generation
  • Work with traders and quants to roll-out, support and run strategies
  • Build and support new quantitative trading framework
  • Design clean architecture and leverage state of the art tools and components
  • Bring new ideas and experimenting with new technologies

 

Requirements:

  • Strong programming skills with Python (including performance optimization)
  • Knowledge of data structures and algorithms
  • Experience working in a front office environment with researchers and traders
  • Excellent communication skills
  • Strong education background in STEM

 

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.