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For Companies At a Glance
- Tasks: Develop portfolio analytics tools and visualisations for equity strategies.
- Company: Join a leading Tier 1 Multi-Manager Hedge Fund in London.
- Benefits: Enjoy excellent compensation, learning opportunities, and high visibility.
- Why this job: Shape the analytics that drive investment decisions in a collaborative environment.
- Qualifications: 1-4 years in analytics or development; strong Python skills required.
- Other info: This is a greenfield opportunity to build from scratch.
The predicted salary is between 43200 - 72000 £ per year.
We are working with a globally leading Tier 1 Multi-Manager Hedge Fund that is looking for a detail-oriented and technically skilled Portfolio Analytics Developer, as they build out a new portfolio construction and analytics function within their Equities business in London. This is a greenfield opportunity to join a newly formed team at an early stage. The successful candidate will work directly under the head of the desk, helping to develop the core infrastructure, models, and visualization tools that will serve as the analytical backbone for the equities business. This is a front-office-facing role with frequent interaction with portfolio managers and quant analysts. The ideal candidate will combine strong Python skills with commercial acumen and a desire to operate in a high-performance trading environment.
Key Responsibilities
- Develop and maintain portfolio analytics tools and performance attribution models for long/short equity strategies.
- Build dashboards and visualizations that quantify risk exposures, portfolio construction, and capital allocation across managers.
- Work with data from portfolio managers and internal analytics teams to build actionable tools that support day-to-day decision-making.
- Contribute to the design and implementation of a scalable, flexible analytics layer - starting from scratch.
- Engage closely with front-office stakeholders to understand needs and iterate on solutions.
Requirements
- 1-4 years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment.
- Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines, analytical tools, or dashboards.
- SQL experience is a plus.
- Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash.
- Solid knowledge of equity markets and investment principles, including portfolio construction, risk attribution, or equity factor analysis.
- Demonstrated ability to communicate effectively with non-technical stakeholders and adapt to fast-paced business needs.
- A hands-on, detail-oriented approach with a willingness to take on both strategic and tactical work.
Why Apply?
- Join a newly established function with high visibility and direct impact on portfolio performance.
- Work side-by-side with a seasoned leader in a highly collaborative, front-office setting.
- Play a key role in shaping the tooling and analytics that drive investment decisions across a major hedge fund.
- Excellent compensation, learning opportunities, and exposure to the inner workings of a world-class equities platform.
- This is a unique opportunity for a technically strong and commercially minded individual to help define the analytics landscape for a global hedge fund's equities business.
Apply Now!
Portfolio Analytics Developer | Multi-Strat Hedge Fund employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Analytics Developer | Multi-Strat Hedge Fund
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python libraries like Pandas and NumPy. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in portfolio analytics or similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss real-world applications of your analytical skills. Think of examples where you've successfully built dashboards or analytical tools that had a direct impact on decision-making, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your understanding of equity markets and investment principles by staying updated on current trends and news. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the role and the industry.
We think you need these skills to ace Portfolio Analytics Developer | Multi-Strat Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analysis, Python proficiency, and any relevant projects or roles that demonstrate your ability to develop analytical tools. Use keywords from the job description to align your skills with what the hedge fund is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to work in a greenfield environment. Discuss how your background in finance and technical skills make you a perfect fit for developing portfolio analytics tools and engaging with front-office stakeholders.
Showcase Relevant Projects: If you have worked on any projects involving data pipelines, dashboards, or performance attribution models, be sure to include these in your application. Provide specific examples of how your contributions led to improved decision-making or efficiency.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python, SQL, and data visualisation tools during the interview process. Prepare to explain your thought process in developing analytics solutions and how you would approach building tools from scratch.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, especially with libraries like Pandas and NumPy. Be prepared to discuss specific projects where you've built data pipelines or analytical tools, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with equity markets and investment principles, particularly portfolio construction and risk attribution. This knowledge will help you engage effectively with portfolio managers and quant analysts during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to develop scalable analytics solutions. Think of examples where you've tackled complex problems and how you approached them, as this will showcase your analytical mindset.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves frequent interaction with non-technical team members, practice explaining technical concepts in simple terms. This skill is crucial for ensuring that your insights are understood and valued by all stakeholders.
