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- 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 exposure to top-tier investment practices.
- Why this job: Be part of a new team with direct impact on portfolio performance and investment decisions.
- Qualifications: 1-4 years in analytics or development; strong Python skills required.
- Other info: This is a greenfield opportunity to shape the analytics landscape from scratch.
The predicted salary is between 48000 - 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.
- 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.
- 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.
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Analytics Developer | Multi-Strat Hedge Fund (City of London)
✨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
Engage with the latest trends and developments in portfolio analytics and equity markets. Showing that you are up-to-date with industry changes can impress interviewers and highlight your passion for the field.
✨Tip Number 3
Prepare to discuss your previous experiences where you've built analytical tools or dashboards. Be ready to explain your thought process and how your contributions positively impacted decision-making in past roles.
✨Tip Number 4
Network with professionals in the hedge fund industry, especially those working in analytics or quantitative roles. Building connections can provide valuable insights and potentially lead to referrals for the position you're interested in.
We think you need these skills to ace Portfolio Analytics Developer | Multi-Strat Hedge Fund (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, Python programming, and any previous roles in financial institutions. Emphasise your skills in building analytical tools and dashboards, as these are crucial for the Portfolio Analytics Developer position.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to work in a greenfield environment. Mention specific projects or experiences that demonstrate your ability to develop portfolio analytics tools and engage with front-office stakeholders.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and data visualisation tools like Power BI or Tableau. Provide examples of how you've used these skills in past roles to solve problems or improve processes, particularly in a trading or financial context.
Highlight Communication Abilities: Since the role involves interaction with non-technical stakeholders, include examples of how you've effectively communicated complex technical concepts to diverse audiences. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used libraries like Pandas and NumPy, and how they contributed to building analytical tools or dashboards.
✨Understand Portfolio Construction
Brush up on your knowledge of equity markets and investment principles, especially portfolio construction and risk attribution. Being able to discuss these concepts will demonstrate your commercial acumen and relevance to the role.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and analytics tools. Practise explaining your thought process clearly, as you may need to communicate complex ideas to non-technical stakeholders.
✨Engage with Front-Office Scenarios
Since this role involves frequent interaction with portfolio managers and quant analysts, prepare to discuss how you would approach understanding their needs and iterating on solutions. Show that you can adapt to fast-paced business requirements.
