Derived Python Data Specialist

Your Team Responsibilities

The Derived Data Analyst will assist with the management and audit of BMU Data and all related activities ensuring Data and Universe Analytics products are supported by research-quality data. If you are deeply passionate about the private capital industry, possess a keen eye for detail, and have robust analytical skills, this is an exceptional chance to become part of a thriving, rapidly expanding team committed to setting the industry benchmark for high-caliber private capital data.

Your Key Responsibilities

• Assist with the management of the Burgiss Manager Universe dataset production, collaborating closely with Engineering, Product Management, Operations, and other key teams.
• Oversee the generation of licensed data files tailored for our clients.
• Conduct thorough audits of selected Burgiss Data samples (e.g., investment transactions, fund profiles, financial fundamentals, etc.) to assess and report on key data integrity metrics, including accuracy, completeness, and adherence to policy.
• Cultivate and maintain a deep understanding of data policies specific to the private capital sector.
• Advocate for and execute enhancements to existing methodologies, algorithms, and calculations to drive continuous improvement in our data production processes.
• Create and maintain thorough documentation supporting the data management activities.
• Engage in special projects that are of strategic significance to the organization.

Your skills and experience that will help you excel

• 2-3+ years of experience in data management within the financial or private capital domain.
• Bachelor’s degree in Finance, Economics, or a related field.
• Proficiency in technical tools including Excel, SQL, and databases.
• Experience with Python/R is highly advantageous.
• Exceptional attention to detail, coupled with an analytical and curious mindset.
• Strong quantitative skills and outstanding communication abilities (both written and verbal).
• Highly organized, disciplined, and capable of maintaining focus.
• Ability to handle and accurately process substantial volumes of complex financial data.
• A proactive attitude and a strong eagerness to learn and grow, particularly in data analytics tools like Python.