Quant Analyst (Risk)

Our client is a leading, founder-led insurance-focused investment manager formed through the merger of two established firms.

Our client is seeking a technically strong specialist to take ownership of, maintain, and further develop its client and risk reporting function. This position is ideally suited to an individual who values precision, consistency, and the delivery of high-quality reporting that stakeholders can rely upon with confidence.

The successful candidate will have significant autonomy in maintaining, enhancing, and extending the existing reporting framework, with a strong focus on continuous improvement and automation. The organisation is also progressively integrating AI-assisted development tools to improve efficiency and further evolve the reporting capability.

This is a full-time, permanent position based in London.

1. Own and maintain end-to-end client and risk reporting processes, from data pipeline management through to final report delivery
2. Lead the insourcing of the PDF rendering pipeline, replacing a current third-party provider with an in-house solution
3. Work within and contribute to the firm’s R library ecosystem, including database connectivity, security and portfolio data, performance statistics, and ILS modelling
4. Perform portfolio data analytics to generate insights into risk exposures, performance, and attribution
5. Collaborate with portfolio managers and client-facing teams to understand reporting requirements and translate them into scalable technical solutions
6. Ensure data quality by investigating discrepancies, identifying root causes, and implementing robust fixes
7. Document processes and develop systems that are resilient and not dependent on individual knowledge

1. 3–5 years’ experience in a reporting, data, or quantitative analyst role, ideally within asset management, banking, or financial services
2. Strong programming skills in Python and R, with experience working within structured codebases beyond ad hoc scripting
3. Solid understanding of portfolio risk concepts and their application within reporting environments
4. Strong attention to detail and commitment to accuracy, with the ability to identify and investigate anomalies in data
5. Experience with tools such as R Markdown, Quarto, Pandoc, or headless browser rendering would be advantageous
6. Comfortable working independently and taking ownership of a functional domain
7. Knowledge of Insurance-Linked Securities (ILS), reinsurance, or the broader insurance industry would be beneficial, although training can be provided

1. The opportunity to work within a fast-growing segment of the asset management industry
2. An international, inclusive, and dynamic working environment that values innovation and initiative
3. Ongoing professional development and career growth opportunities

Our client is committed to equal opportunities and values the diverse perspectives and contributions of its employees. The organisation seeks to foster an inclusive environment where individuals from all backgrounds feel welcomed, supported, and able to contribute authentically in the workplace.

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