Company Overview:
A leader fund in alternative investment funds, is seeking a dynamic Analyst for our Diversified Alpha Fund. Our team, comprised of seasoned finance professionals, plays a pivotal role in the firm's success.
Role Description:
As an Analyst for the Diversified Alpha Fund, you will be integral to the management of a diverse, multi-strategy, multi-manager fund. This fund focuses on generating consistent returns through various market environments by investing in external pod managers (Pods) who specialize in global digital asset markets. Strategies include Arbitrage, Market Making, Relative Value, and Statistical Arbitrage.
Key Responsibilities:
- Work closely with the Fund Manager in all aspects of fund operation.
- Manage daily operational requests from Pod managers.
- Engage in extensive data analysis, including examining Pod trading styles, profit and loss, and quantitative portfolio construction.
- Assist in the screening, selection and evaluation of new and existing Pod managers.
- Maintain and develop relationships with existing Pods, brokers, and futures exchanges.
Work Environment:
This role offers a dynamic and fast-paced work setting in the hedge fund sector. It requires flexibility and adaptability, as described by our Fund Manager: "This is an exhilarating and challenging position, with a steep learning curve and offers exposure to many innovative investment managers." The position is based in St James's, London, with a hybrid working model, requiring at least four office days per week. Due to regulatory requirements, UK residency is mandatory.
Qualifications:
- A bachelor's degree in STEM, or Economics from a reputable institution (e.g., Russell Group or international equivalent).
- Strong mathematical and statistical skills, including knowledge of correlation, volatility, VaR, statistical modelling (e.g., Monte Carlo simulations), and stress testing.
- Intermediate proficiency in Python.
- 1-2 years of relevant experience is preferred.
- Independent, self-motivated problem solver with the ability to tackle unstructured problems.
- Basic understanding of market-neutral trading strategies and trade execution (training provided if needed).
- Experience in managing large databases and datasets is advantageous.
Benefits:
- Performance-based year-end bonus and incentives.
- 25 days annual leave plus UK bank holidays.
- Benefits including private healthcare, pension plans, daily company-provided meals, and social events.
- Annual well-being program and training & development budget.
