Business Analyst

Business Analyst  

Posted by:
Alanda Capital Management Limited | Public profile »
Central London 
Location details:
Central London 
Job Sector:
Financial Services / Banking 
10+ Months 
Post date:


Alanda Capital Management is a recently established hedge fund based in London. The fund has fundamental approach to investing with a heavy focus on data driven analytics. We seek to find and analyse proprietary data on our investments. We use data science to get a differentiated view from the market and to track relevant KPIs throughout the investment lifecycle.

About the Role:
This is a role supporting the research efforts of our investment team and would suit a recent graduate.

The main responsibility will be to interface between our programming unit and the investment team, to help manage the work flow and priorities of the programmers, to find creative methods to build proprietary data on our portfolio companies and new research efforts, and to improve the efficiency of our data analytics programme. It is an open-ended role with substantial room for growth alongside the fund.

This is not another investment professional role, but rather a chance to be part of a growing data science operation that is one of the core focuses of the investment process of the fund.

Required Skills:
• Very good understanding of data structures and data problems
• Good understanding and passion for data collection and research
• Knowledge of a wide range of sources for data, and methods for accessing them.
• Understanding of relational and non-relational databases
• Ability to think independently and “outside-the-box”
• Ability to communicate, understand and present the outputs of data analysis
• Some business understanding would be helpful, no specific knowledge is required. However, any applicant should have an interest in general business and finance.

Desired Skills:
• Proficiency in Python
• Statistics training
• Behavioural finance training
• Experience with web scraping


• BSc, MSc, or PhD in a quantitative discipline, preferably in computer science, data science, or
• Any data science related professional experience