Data Analytics Specialist: Enhance Fund Performance and Risk Assessment

1 week ago

Kraków, Lesser Poland, Czech Republic beBee Careers Full time

Quantitative Due Diligence Analyst

This is an exciting opportunity to join a global team responsible for selecting and approving funds and ETFs across the globe. As a quantitative due diligence analyst, you will play a key role in enhancing and building our quantitative due diligence capabilities.

We are looking for a self-starter with strong academic background, well-versed in data analytics and with relevant experience developing end-to-end solutions in Python/R. The ideal candidate should have a deep understanding of financial markets and quantitative techniques for data analytics and processing.

The successful candidate will develop various technical solutions used for the due diligence process and may also involve analyzing structured and unstructured data sets to assess fund performance and risk.

Main Responsibilities:

  • Produce high-quality quantitative analysis within set deadlines.
  • Closely work with fund research analysts to gather requirements, deliver solutions, and resolve issues in a timely manner.
  • Develop and maintain complex Excel spreadsheets, ensuring accuracy and functionality using advanced formulas and macros.
  • Automate repetitive tasks and improve workflows using VBA macro.
  • Write SQL queries to store, extract, and manipulate data.
  • Leverage Python to analyze and visualize data, create reports, and automate processes.
  • Develop web-based quant portal using Python, Java, HTML, Github.

Requirements:

  • Bachelor's degree in finance, or a STEM subject.
  • At least 2+ years of work experience in financial industry ideally in wealth management, private bank, or investment management.
  • Advanced Excel skills and ability to write and debug VBA code to automate tasks and enhance Excel functionality.
  • Hands-on experience of using Python and SQL to analyze data and create reports.
  • Strong problem-solving skills, attention to details, and ability to work with complex dataset.
  • Experience of developing web-based tools would be an advantage.
  • Knowledge of Morningstar, Factset, and Bloomberg would be of added advantage.
  • Pursuing or completed CFA or CQF would be a plus.
  • Excellent communication skills, both verbal and written.

Benefits:

  • Training budget.

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