To support our committed Finance-Team in Munich we are searching for a (Senior) Financial Data Quality Analyst (m/f/d).

(Senior) Financial Data Quality Analyst (m/f/d)

About Golding Capital Partners

Golding is one of the leading independent asset managers for Private Equity, Private Debt, Infrastructure, Secondaries and Impact Investing in Europe with more than 13,6 billion Euro assets under management. On a daily basis, we act in an exciting and ever changing field of global investors and international investment funds. Our business partners are the key point of our corporate philosophy – they appreciate our very personal and competent support. Our team, including about 200 colleagues, work from Munich, London, Luxembourg, Milan, New York, Tokyo and Zurich.

Your responsibility

Analytical thinking and juggling with numbers are part of your professional identity. You are aware of the importance of high data quality and take pleasure in handling large volumes of data in a complex system landscape. Furthermore, you strive for continuous improvement and modernization to evolve recurring routines. Overall, in this role, you actively contribute to the growth of GOLDING and the transformation into a digital and scalable business model.

This specifically includes:

  • Understanding complex business functions to comprehend our data taxonomy and maintain the data documentation
  • Implementing data quality requirements in appropriate processes, tools, and controls
  • Developing and maintaining interactive dashboards, reports, and visualizations in Power BI, providing comprehensive financial data quality analysis
  • Collaborating with interdisciplinary teams to enhance data quality, investigate the causes of errors, and implement corrective measures
  • Actively participating in the digitalization of business processes and modernization of our tool landscape

Your qualification

  • Bachelor's degree in Finance,  Data Science, or a related field
  • Proven experience with BI frontend tools (e.g. PowerBI) with a strong focus on financial analysis, reporting, and data quality monitoring
  • Several years of professional experience in data management, preferably in the financial services sector
  • Proficient knowledge of data modelling
  • Knowledge of IBCS standards, SQL, R, or Python is advantageous
  • Proficient German and/or English language skills

Your personality

  • You are insisting on highest standards and are quality and results driven
  • You take ownership for your actions and have backbone
  • You have a pronounced IT affinity and strong analytical skills
  • You are characterised by an independent, structured and solution-oriented way of working
  • You have excellent communication and interpersonal skills
  • You have a high degree of self-motivation, reliability and flexibility and a bias for action
  • You are motivated and optimistic as well as a team player with enthusiasm for an international working environment


Carola Schinke