We are recruiting on behalf of a prestigious investment manager based in London. They are seeking an experienced Investment Risk Analyst due to the expansion of the team.
As a Senior Risk Analyst, you will play a pivotal role in providing analytical support to the Risk & Portfolio Construction Officer and Chief Risk Officer. You will be responsible for monitoring and reporting on risk limits, developing risk reports and processes, and contributing to the development of risk and data processes. This position offers the opportunity to cover a broad range of tasks and work as part of a dedicated information, performance, and risk management team.
Key Responsibilities
- Daily monitoring and reporting of risk limits, including market exposure risk, credit exposure risk, and liquidity risk.
- Running risk reports and conducting stress and scenario testing to assess portfolio vulnerabilities.
- Preparation of comprehensive risk reports for the firm's Risk Committee and the Investment Oversight Committee, providing valuable insights into portfolio risk profiles.
- Designing and producing ad-hoc reports to meet the specific needs of various stakeholders, ensuring data is presented in a format that facilitates easy understanding and decision-making.
- Providing analytical support to the Chief Risk Officer and the wider risk team, assisting in the interpretation of risk data and the development of risk mitigation strategies.
- Conducting research connected with new products or projects, assessing their risk implications and suitability within the firm's investment framework.
- Assisting with data and fund statistics reporting as required, ensuring accuracy and consistency in reporting metrics.
Education & Requirements
- Educated to degree level or equivalent, preferably in Finance, Economics, or a related field.
- Completion of a minimum of CFA Level 2 and studying towards a level 3 certification or is currently a Level 3 charterholder.
- Previous experience working in an investment management or financial environment covering performance attribution and risk management.
- Strong analytical skills with the ability to dissect complex financial data and draw actionable insights.
- Excellent communication and presentation abilities, with the capacity to convey complex concepts in a clear and concise manner.
- Detail-oriented approach with a focus on accuracy and precision.
- Ability to work both independently and collaboratively in a fast-paced, deadline-driven environment.
- Familiarity with financial modelling and statistical analysis tools such as Excel, Python, or R is advantageous.