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. 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 with a strong background in front office technology to advance strategic initiatives in building front office tools. In this hands-on role, you will work on modernizing and extending our front office python infrastructure, which will unlock new capabilities for our portfolio management 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
* Work with the business as an individual contributor to deliver key projects with far-reaching impact on trading, alpha generation, risk management and more.
* Decommission legacy tools and code
* Centralize disparate Python libraries into high-quality shared libraries.
* Review Python code changes and assist with design decisions across dev teams when appropriate.
* Design and build tools, screeners, reports libraries for the front office and risk management teams
* Assist with middle and back office reporting where required
* Communicate complex technical concepts effectively to technical and non-technical stakeholders.
What We Value
* 9+ years of experience in a front office focused quantitative development role.
* Master’s degree in computer science, mathematical finance, or related field.
* Experience working with relational databases such as MS SQL Server.
* Excellent problem-solving skills and the ability to collaborate with cross-functional teams.
* Experience with fincad or numerix very helpful
* Ability to work with business users to create technical specifications for projects
We anticipate the base salary of this role to be between $180,000-200,000. 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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At Soros Fund Management, we are committed to providing equal opportunity in employment and are diametrically opposed to all forms of unlawful discrimination in any jurisdiction in which we operate. Our goal is to take every possible step to ensure that individuals are treated equally and fairly and that decisions on recruitment are based solely on objective and job related criteria. This questionnaire is intended to help us monitor the effectiveness of our commitment to equal opportunity and identify barriers to workplace diversity at SFM. The information you provide will be used only for monitoring purposes, will not be otherwise disclosed to the business unit with which you are seeking employment and will not be taken into account in any hiring decision.
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