Quant / Data Analyst - Investment Management

Our client, a growing Global boutique investment management organization, are looking for a Quant / Data Analyst who likes to innovate and solve sophisticated problems and wants to be part of a software development team responsible for platform technology and solutions.

You will report directly to the Senior Portfolio Manager heading European equities and work closely with equity research analysts. Your role is right between the investment decision and data analysis. You will be required to develop tools to source and query the data required for the investment decision and visualize it in the most optimal form. Where appropriate you will also be asked to design, evaluate and deploy appropriate statistical and machine learning models to automate processes, generate trade ideas and monitor the risk exposure of the portfolio.

You will be working in a fast-paced, performance-oriented environment with a high-achieving team who is driven by professional goals but also shares common human values of team spirit and inclusiveness.

Your responsibilities:

• Your primary task will be to work closely with the team, maintain the tools in place and develop customized new tools used in the day-to-day management of the fund and sourcing of new ideas.
• You will liaise with third-party alternative data providers to source the most appropriate data and analyze it to uncover insights.
• You will work closely with the team to automate fundamental stock analysis processes and propose and design optimal visualization tools and methods.
• You will develop, test and deploy a statistical learning model to accurately predict equity arbitrage opportunities and develop trading strategies around them.
• You will work on ad-hoc equity back-testing ideas and portfolio stress-testing events.
• You will liaise with Bloomberg product specialists to understand their alternative data and how to best leverage it.
• You will automate the recording of all internally created investment datapoints with a view to applying a statistical learning model to enhance stock picking and performance.

Your qualifications:

• Final year of BSc or MSc in Engineering, Computer Science, Mathematics, or relevant data technology field.

Your technical skills:

• Strong coding experience in Python and Jupyter notebooks, willing to explore relevant Python packages to interact with Bloomberg, Excel etc.
• Ability to work and code in a fast-paced environment.
• Knowledge of regression/basic machine learning algorithms and desire to successfully apply them to multiple datasets.
• Skills in data visualization using Python/Excel etc.
• Presence and interest in self-teaching in virtual development communities such as GitHub, Stack Overflow and HackerRank is a plus.
• Knowledge of SQL and VBA is a plus but not necessary – desire to learn more important.
• Desire to understand market drivers and learn about stocks, fundamental analysis and stock picking.

Your soft skills:

• A proactive, analytical and self-starter mindset.
• Ability to work, write code and deliver under time pressure and in a fast-paced environment.
• Ability to work independently as well as in a team environment.
• Humility, with the desire and ability to constantly learn and improve.
• High attention to detail.
• Ability to communicate.

For a discreet and confidential conversation please feel free to contact me directly on email at s.burke@integerexecutivesearch.com or on my direct line +353 1 697 8631.