Investment Data Analyst (Python) – London – Hybrid Working
One of our industry-leading software and analytics clients are seeking Investment Data Analysts.
Their vision is to transform investment decision making, shaking up a £120 trillion active fund management industry in the process. They passionately believe in continuous improvement as individuals, teams, and organisations.
Qualifications:
Undergraduate or Postgraduate degree in a relevant discipline such as mathematics, economics, finance, computer science, engineering or related (2:1 or higher)
1 - 3 years of experience in data analysis
Highly proficient in Python, Excel, SQL, python toolkits e.g., Pandas, NumPy, etc
Comfortable working with version control systems (Git)
Advanced ability to create functional and beautiful presentations in PowerPoint
Strong analytical thinking with high attention to detail and professional scepticism
Comfortable visualizing data with libraries such as matplotlib and seaborn
Excellent communication skills to simplify complex details for varied audiences. Experience public speaking or presenting to senior stakeholders would be welcome
Responsibilities:
Analyse and curate trade, process, and emotional data to identify fund managers’ decision-making biases leading to sub-optimal trades.
Explore new data sets and new analytical approaches to help our clients identify behavioural patterns and the root causes of such behaviour.
Build complex Excel Spreadsheets and Python scripts to process investment data for detailed financial analytics. You should be comfortable with VBA and advanced formulae (index-match, mmult transpose, nested conditional functions) to perform quick ad-hoc econometric data analysis to test hypothesis and outcomes.
Collaborate with software engineers and other data analysts to design reliable analytical modules in production ready Python code. You should already be familiar with Python and CI/CD best practices.
Learn the intricacies of portfolio data, investor processes, and markets and apply your knowledge to analytical work.
Work closely with users, senior management, and stakeholders across various disciplines to develop complex analytics. Communicate findings with stakeholders and ensure high quality analytics.
Develop project artifacts including requirements, documentation, test plans, and project plans.
To apply, please send your CV to quantresearch@octaviusfinance.com