Job Description
Role & Responsibilities
* Proactively identify, assess and mitigate all investment risks. Develop and maintain a comprehensive investment oversight framework aligned with market best practices and regulatory requirements. Ensure adherence to risk limits and investment guidelines.
* Foster collaboration with portfolio managers, analysts and traders to understand risk appetite, challenge portfolio construction, and deliver insightful risk and performance analysis. Clearly communicate key findings to support informed decision-making.
* Incorporate climate and broader ESG risks management in the investment oversight framework.
* Continuously and proactively utilise technology to reduce the use of spreadsheets, automate workflows and reporting, enabling the department to scale.
* Ensure models used by the team are validated, with key assumptions and limitations clearly communicated to relevant committees.
* Ensure the accuracy and timeliness of positions and portfolio data across all systems and databases.
* Ensure accurate and timely production of investment reports, including factsheets, institutional reports, committee packs and portfolio data for external platforms.
* Ensure awareness and compliance with GIPS standards, reporting and presentation requirements and best practices.
* Contribute to product development initiatives, ensuring that all investment risks, performance and reporting requirements are identified and met.
Experience
* 10 years+ experience within financial services, ideally from within Investment Risk at an asset manager.
* Degree educated in a numerical discipline (e.g. Finance, Mathematics, Physics) preferred.
* Experience leading and developing a team.
* Direct significant experience developing relational databases and working with data management platforms (e.g. Oracle, Snowflake, AWS or the likes) for portfolio analysis.
* Direct experience scripting (e.g. SQL, Python) and using visualisation softwares (e.g. PowerBi, Tableau, Grafana) to efficiently produce analysis and reports.
* Strong technical understanding of multi-factor models (e.g. Bloomberg MAC, Axioma)
* Experience leveraging AI tools to improve scalability.
* Previous Investment risk, performance or portfolio control experience.
* Experience with and strong understanding of UCITS and AIFMD regulations.
* Liquidity risk management experience.
* Portfolio stress testing experience.
* Hands on experience of equity, fixed income and derivatives instruments.
* Experience using investment management platforms (e.g. Dimension, CRD, AIM)
* Knowledge of investment accounting principles in the context of asset management.
Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted.