About The Role:
The company manages over £250bn of funds – cash, bonds, equities, property, multi-asset and absolute return - on behalf of 2 million individual clients and several thousand institutional clients.
The Risk and Structuring team is one of three areas in addition to Portfolio Management and Strategy that make up the Multi Asset Investing Team (MAIT): one of the central units within the investment area of the company and responsible for managing over £100bn of assets. The primary responsibility of the risk and structuring team is the management of risk for multi-asset portfolios, with a focus on absolute return investing, and derivative structuring across a range of portfolios including absolute return, pension schemes and insurance assets. Fund management is also a core competency.
A key requirement of the team is to oversee our growing Absolute Return and Liability Aware businesses, the latter of which includes both pension (LDI) and insurance liabilities. Furthermore, the team are responsible for supporting investment proposition development, introducing expertise to allow the trading of new derivative instruments, providing broader quantitative skills to SLI and conducting research into new areas of risk management.
Provide mathematical and programming expertise with problem solving ability to support the management of portfolios, enhance existing tools/technology/infrastructure and assist in new research initiatives.
- Support the management of portfolios through risk analysis and trade modelling.
- Management and development of our risk platform including the on-desk tools, systems and data that are critical to the team.
- Assist with the implementation of new techniques in risk management and optimisation. This will typically include elements of programming.
- Provide general quantitative support to the risk and structuring team.
- Future development may include fund management responsibility.
Qualifications / Experiance
- This position is likely to be a good fit for an individual with a recent postgraduate qualification and programming experience; however, a broader range of applications will be considered.
- Undergraduate degree in mathematics/computer science/science or subject with strong numeracy required. Further postgraduate or professional qualifications of a more technical nature beneficial.
- Experience with higher level languages such as MATLAB, Octave, R or a similar package is desirable.
- Programming experience in one lower level language such as VB, C/C++/C#, Java, .Net is beneficial.
- Knowledge of financial markets and investments a distinct advantage.
- Experience in optimisation techniques is beneficial.
- Software development experience is beneficial.
- Experience in the following areas is helpful but not expected:
- Portfolio construction and risk management
- Derivatives - valuations and applications
- Rigorous attention to detail
- Proactive and methodical approach
- Problem solving/analytical ability
- Achievement driven
- Good communication skills
- Enthusiasm and integrity
- Customer focused
- Team work and networking