Portfolio Analytics Developer | Multi-Strat Hedge Fund

JR United Kingdom; Bolton; On-site; GBP 40,000 - 70,000; Full time

Job summary

Join a globally leading Tier 1 Multi-Manager Hedge Fund as a Portfolio Analytics Developer. You will be part of a newly established team focused on building analytics and portfolio construction tools for the equities business. This role requires strong technical skills in Python and a collaborative mindset to engage with front-office stakeholders. This role offers excellent compensation and opportunities to shape critical investment decisions.

Benefits

Excellent compensation

Learning opportunities

Exposure to a major hedge fund's workings

Qualifications

• 1-4 years of experience in a quantitative or analytics role.
• Proficiency in Python and experience building data pipelines or dashboards.
• Solid knowledge of equity markets and analytical principles.

Responsibilities

• Develop and maintain portfolio analytics tools and performance attribution models.
• Build dashboards and visualizations that quantify risk exposures and capital allocation.
• Engage with front-office stakeholders to iterate on analytical solutions.

Skills

Python

Data visualization

Communication

Analytical skills

Education

Bachelor's degree in a quantitative field

Tools

SQL

Excel

Power BI

Tableau

Job description

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Client:

Selby Jennings

Location:

bolton, greater manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

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 with 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!