Asset Liability Investment Analyst
- Employer
- Finance Network
- Location
- London, United Kingdom
- Salary
- £65k - £85k
- Posted
- Jun 02, 2023
- Closes
- Jun 08, 2023
- Ref
- 19727581
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
As a member of the ALM team, the placement will be responsible for:
Ideal candidates should be:
Desirable but non-essential attributes include:
- Modelling asset classes such as equities, credit, bonds, derivatives, hedge funds and other alternatives using in-house tools, in conjunction with modelling pension funds' contingent liabilities.
- Designing and implementing capital market and LDI solutions to reduce risk or increase expected return.
- Evaluating the risks in pension funds and other institutional investor portfolios.
- Monitoring the markets and keeping abreast of key developments.
- Liaising with investment consultants to understand the needs of the client, and using internal proprietary modelling, to deliver first class advice.
- Acting as first port of call for the consulting team to discuss project approach, plan project and opine on fees.
- Formulating ongoing investment strategy recommendations (consistent with CIO views, investment principles, client preferences, manager views) for changes in objectives/circumstances/markets.
Ideal candidates should be:
- A CFA Charter holder or FIA/AIA, or working towards these qualifications
- 5-8 years into their career with a relevant organisation (Investment consultancy/Life insurer)
- Highly interested in financial markets
- Well versed in modelling asset classes or pension fund contingent liabilities
- Analytical and not afraid to query preconceived ideas
- Someone with attention to detail
- Happy when delivering; either collaboratively or independently
Desirable but non-essential attributes include:
- Some experience in actuarial longevity/mortality modelling or interpreting this data
- Some experience in modelling asset classes or pension fund liabilities
- Research experience (academic and/or practitioner led)
- Curiosity, always looking to innovate and experiment with something new
- The ability to understand, evaluate and learn quickly
- A 'get your hands dirty' mindset
- A keenness to work together and make a difference