Project Overview:

Client's company is an independent, partner-owned investment firm founded in 2013, with a growing team of currently 70 people and offices in Switzerland (Pfäffikon SZ & Küsnacht ZH), the United States (New York), Ireland (Dublin), Liechtenstein (Vaduz), and Hong Kong. We are dedicated to a long-term, global investment strategy focused on public equity markets.

Theirs highly disciplined investment process combines fundamental research expertise and advanced data science. We aim to identify high-quality mid cap stocks with 2X return potential over a time horizon of 5–7 years, equivalent to a 10–15% return per annum. What sets us apart from others is our collective decision making, the level of insight and transparency we offer to our investors, and the use of technology to enhance all aspects of our business. 

The technology department comprises 20 members – 6 Quant Researcher, 5 Data Engineers and 8 Fullstack Developers. We believe in collaboration and collective team intelligence while encouraging individual contributions.

There is a 2-step client interview process where Part 1 goes as 'intro' and Part 2 consists of a live coding session where you can use Google, Chat GPT or any tool you are comfortable with.

We are looking for a Business Data Analyst to complement our experienced team.
The successful candidate combines strong knowledge of data engineering and financial knowledge.

Марія Тісленко
  • Design, build, and maintain PowerBI Solutions;
  • Collaborate with cross-functional teams, including quant researcher, software developers and business stakeholders;
  • Provide ad hoc financial analysis and reporting to support business decisions;
  • Ensure data accuracy and integrity by performing data quality checks and resolving data discrepancies;
  • Stay up-to-date with industry trends and advancements in data engineering and bring new ideas and solutions to the organization.

This role requires a candidate who is passionate about data and finance, works well in a collaborative team-based environment, and is proactive and intrinsically motivated to go the extra mile.

  • A Bachelor's or Master's degree;
  • Expert Knowledge of PowerBI;
  • Proficient in SQL and at least one Database Engine;
  • Experience with Financial data is a plus (for example Financials, balance sheets, accounting data, FX);
  • Experience with python is a plus.



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