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Soros Fund Management

Tech - Quantitative Developer (UK based)

Reposted 23 Days Ago
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Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
The Quantitative Developer will create real-time P&L and risk systems, design quantitative risk calculations, build tools for portfolio management, and work with trading signals while communicating technical concepts effectively.
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Company Overview

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy.


Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.


At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.


Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.


Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.



Job Overview

We are seeking a talented Quantitative Developer to join our team. You will work with the business as an individual contributor to deliver key projects with far-reaching impact on trading, alpha generation, risk management and more. You have Excellent problem-solving skills and the ability to collaborate with cross-functional teams. 


If you value a balanced approach that combines thoughtful innovation with high-quality execution, this opportunity offers the chance to play a key role in strengthening our infrastructure while contributing to our broader mission. 


             

Major Responsibilities

  • Development of real time P&L and risk systems 
  • Design systems for quantitative risk and pricing calculations, such as scenario reporting and margin replication  
  • Build interactive tools for our portfolio management and risk teams 
  • Work with analysts on implementing trading signals across a wide range of asset classes 
  • Communicate complex technical concepts effectively to technical and non-technical stakeholders. 
  • Support PNL and Risk infrastructure during London hours.

 

 

Requirements

  • 5+ years of experience in a front office focused quantitative development role 
  • Advanced degree in Computer Science, Mathematical Finance, Physics, Engineering, or a related field. 
  • Strong proficiency in Python and standard libraries (Pandas, NumPy. Etc.) 
  • Exposure to other programming languages (C#, R, etc) 
  • Proficiency with SQL 
  • Ability to work with business users to create technical specifications for projects 

 

 

We anticipate the base salary of this role to be between 150,000-200,000 GBP. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus. 

 

 

 

In all respects, candidates need to reflect the following SFM core values:

 

Smart risk-taking   //   Owner’s Mindset   //   Teamwork   //   Humility   //   Integrity    

 

 

 

 

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