At a Glance
- Tasks: Develop real-time P&L and risk systems, and collaborate on trading signals.
- Company: Join Soros Fund Management, a leading global asset manager with a mission-driven culture.
- Benefits: Competitive salary, discretionary bonuses, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: 5+ years in quantitative development, strong Python skills, and an advanced degree.
The predicted salary is between 150000 - 200000 € per year.
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.
Tech - Quantitative Developer (UK based) employer: Soros Fund Management
Soros Fund Management is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong emphasis on professional development, employees are encouraged to challenge the status quo and contribute to impactful projects that align with our mission of advancing justice and human rights. The company fosters a culture of teamwork and integrity, providing competitive compensation and a discretionary year-end bonus, making it an attractive place for talented individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Tech - Quantitative Developer (UK based)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at SFM. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 3
Show off your passion for innovation! When you get the chance, share your bold ideas and how you can contribute to SFM's mission. We love candidates who think outside the box and challenge the status quo.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Tech - Quantitative Developer (UK based)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python, SQL, and any relevant projects that showcase your problem-solving skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how your skills align with our values at SFM. Keep it concise but impactful – we love bold ideas!
Showcase Your Projects:If you've worked on any interesting projects, especially those involving real-time systems or risk management, make sure to mention them. We’re keen on seeing how you’ve applied your skills in practical scenarios.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Soros Fund Management
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, as well as any experience with SQL or other programming languages. This will show that you're not just a theoretical developer but someone who can apply their knowledge practically.
✨Understand the Business Context
It's crucial to grasp how your role as a Quantitative Developer fits into the bigger picture of trading and risk management. Research Soros Fund Management's investment strategies and be prepared to discuss how your work can contribute to their mission. This shows that you’re not only technically skilled but also aligned with their values.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving quantitative problems and be ready to explain your thought process clearly. Use examples from your previous roles where you tackled complex issues, as this will demonstrate your problem-solving abilities and collaborative spirit.
✨Communicate Effectively
Since you'll need to convey complex concepts to both technical and non-technical stakeholders, practice simplifying your explanations. Think about how you would describe your projects to someone without a technical background. Good communication is key, so make sure you can articulate your ideas clearly and confidently.
