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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 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 HedgeFund... employer: Jobbydoo
Contact Detail:
Jobbydoo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Portfolio Analytics Developer | Multi-Strat HedgeFund...
✨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 discussions can 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're up-to-date with industry changes can impress potential employers 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 and finance sectors. Attend relevant meetups or webinars to connect with individuals who might provide insights or referrals, increasing your chances of landing an interview.
We think you need these skills to ace Portfolio Analytics Developer | Multi-Strat HedgeFund...
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 your understanding of equity markets.
Showcase Technical Skills: Be explicit about your technical skills 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, especially in a trading or financial context.
Prepare for Interviews: If you get an interview, be ready to discuss your technical expertise and how it applies to the role. Prepare to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Think of examples where you've collaborated with teams to deliver impactful solutions.
How to prepare for a job interview at Jobbydoo
✨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 analytical tools or data pipelines, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with equity markets and investment principles. Being able to discuss portfolio construction and risk attribution will show that you can engage meaningfully with portfolio managers and quant analysts.
✨Prepare for Stakeholder Interaction
Since this role involves frequent communication with non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you convey your ideas effectively during the interview.
✨Demonstrate a Detail-Oriented Approach
Be ready to provide examples of how your attention to detail has positively impacted your previous work. This is crucial in a high-performance trading environment where precision is key.
