Risk & Performance Analyst
About the role
This role sits alongside the Risk & Performance Analysis team within Global Investment Analytics. The core function of this team is to support our Investment Management, Sales and Marketing teams globally with responses to quantitative risk, analytical queries and the provision of performance statistics and attribution analysis on our entire product range.
The role will also be expected to provide technical support to the Global Investment Analytics in project work, ad-hoc tasks & other deliverables using appropriate technology available (e.g. Python, SQL and other in-house reporting tools).
Specific Responsibilities
Using technology solutions (Python, AI, SQL, Linux, Git, Excel etc..) to enhance existing cross platform processes within the team to deliver either control or efficiency enhancements. These team processes can all be classified as supporting portfolio level analysis and understanding for the benefit of the front office, sales and clients. Example processes:
Produce performance metrics for both internal and external distribution
Assist in the production and checking of bespoke risk templates and client performance
Calculate exposure and risk metrics to assist in responding to ad-hoc client queries
Contribute to and produce competitor / peer group analysis and reports
Involvement in the production and approval of the team’s contribution to quarterly regulatory reporting
Liaising with Man Groups central tech teams to develop new processes and identify improvements to existing processes, and assist in the roll-out of AI assisted solutions across Sales and Marketing
Ad-hoc task support for other workstreams within the team.
Fund & benchmark set-up in the core performance/client reporting systems
Key Competencies
Demonstrable skills in using technology solutions (most importantly SQL and Python) & experience in report writing/data extract design and data pipelines
Experience with data visualization tools like Tableau, Power BI, or similar Python based equivalents.
Advanced proficiency in Microsoft Excel, and good knowledge of other Microsoft Office applications.
Strong quantitative and analytical skills, with a proven ability to work with large, complex datasets - including numerical modelling, performance calculation and data-driven problem solving.
High attention to detail with analytical capabilities, with the ability to recognise the benefits of high-quality code.
Excellent communication/interpersonal skills with the ability to establish functioning and constructive work relations with various teams in the company, including non-technical stakeholders.
Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
Excellent organisational and coordination skills
Prior experience in a relevant financial services environment and/or active participation in an internationally recognised financial qualification (CFA / FRM) is considered a strong advantage.AI-Assisted Development:
The team increasingly uses agentic AI to accelerate development, automate routine tasks, and prototype solutions. Comfort in learning alongside AI tools, writing clear specifications for AI assistance, and iterating on AI-generated code would be beneficial. While deep machine learning knowledge isn't required, the ability to work effectively with AI as a collaborative tool—providing context, validating outputs, and integrating results - is expected. This is a fast-moving area, so adaptability and enthusiasm for new tooling matter more than prior experience.