Data Scientist – Intern (12-month placement 2025-2026)

AXA

London

1 year ago

Applications closed

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Data Scientist

AXA Investment Managers is an active, long-term, global, multi-asset investor. We work with clients today to provide the solutions they need to help build a better tomorrow for their investments, while creating a positive change for the world in which we all live. AXA IM is part of the AXA Group, a world leader in financial protection and wealth management.
We are proud to foster a high-performance culture, which means that we seek to recruit and retain people who are not only technically-skilled but also globally-minded, innovative and able to leverage their unique perspectives and life experiences to support our success as a company.

The Investment Oversight and Transversal Analytics team is a front office, cross-platform team covering multiple traditional asset classes (Equity, Fixed Income, and Multi Assets), working closely with portfolio managers and heads of platform.

The team has members in Paris and London, and has two key missions:
• Provide front office investment oversight for each investment platform, notably by leading monthly Investment Oversight Forums, reviewing a comprehensive set of portfolio analytics (performance, risk, ESG) with the respective investment teams and heads of platforms.
• Contribute to the implementation of portfolio ESG constraints (definition of responsible investment universes notably for labelled funds and to fulfil prospectus requirements), both through portfolio analysis and data infrastructure improvements.

Responsibilities:
As part of Investment Oversight & Transversal Analytics, the Intern will work closely with the team in the UK & France, working alongside front office analytics teams and portfolio managers; on the following key activities:
• Maintain and enhance key databases used for the production of analytics required for monitoring and analysis.
• Maintain and develop Python / SQL tools as required for business needs.
• Contribute to AXA IM Core's strategy in terms of Responsible Investment, and through the implementation of solutions allowing the incorporation of ESG metrics and constraints, e.g. the definition of adequate criteria to comply with label requirements (ISR, Towards Sustainability).
• Respond to business infrastructure needs and participate to the general improvement of the capabilities offered to managers in terms of risk analysis, performance and ESG, both on methodology and the effective implementation of the solutions proposed.
• Work on industrialization and automation tools for our processes, to efficiently collect and leverage data.

Key stakeholders and interfaces:
• Portfolio managers on the Core Investments platform.
• Equity and Fixed Income Analytics teams.
• Responsible Investment teams.
• The Global Risk Management (GRM) team.
• The Performance & Reporting (P&R) team.
• The Technology / IT teams.
• Other shared functions within the Core Investments platform – Macroeconomic and Credit research, PSU, COO, etc.

Candidate profile:
The placement program is aimed at undergraduate or postgraduate students who have the option to take up to a year out in industry or a series of internships as part of their degree.

Education:
- Expected minimum 2:1 degree (or equivalent) at an accredited college or university, ideally with modules in relevant data science field(s).
- Ideally, basic knowledge of financial markets and instruments (particularly Equity and Fixed Income), and portfolio management.

Skills:
- Required: strong SQL, Python, and Excel skills.
- Ideal but not required: familiarity with business intelligence software (Tableau) for the creation of senior management dashboards; some familiarity with financial software (RiskMetrics, Bloomberg, and/or FactSet).

Experience:
- A first successful industry experience (within a portfolio management, risk management, analytics, or responsible investment analysis team) is a strong plus.

Profile:
- Meticulous and precise, with attention to detail.
- Ability to work autonomously and proactively.
- Good organizational and interpersonal skills.
- Capacity to evolve in a diverse, multi-cultural global context.
- Knowledge of French is a plus.

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