Investment Data Product Owner & Manager

MFM Search LLC

United States

On-site

USD 300,000 - 350,000

Full time

14 days+
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Job summary

A global pension fund in New York seeks a Mid-Senior Level Data Product Owner for their private equity team. Responsibilities include providing accurate investment insights, overseeing data quality, and designing data platforms. Ideal candidates have a BSc in a relevant field and 5-7 years of experience in investment management, with proficiency in Python, SQL, and ETL processes. This full-time role offers a competitive salary range of $300,000 - $350,000 per year.

Qualifications

  • 5-7 years’ experience as a data product owner in asset owner/investment management.
  • Good understanding of data management and its use in investment.

Responsibilities

  • Deliver accurate data and investment insights for PE decision making.
  • Design data platform components including ETL pipelines.
  • Ensure data quality and investigate any exceptions.

Skills

Python
REST APIs
SQL
Data visualization
ETL processes
Data management

Education

BSc in Computer Science, Applied Math, or Finance

Tools

Power BI

Job description

This range is provided by MFM Search LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$300,000.00/yr - $350,000.00/yr

Direct message the job poster from MFM Search LLC

Founder & CEO at MFM Search LLC - marco.maranzano@mfmsearch.com

My client is a $3 trillion global pension fund currently expanding their presence in New York, NY.

This role is part of the private equity portfolio monitoring team and is pivotal in ensuring robust asset oversight, effective risk management, and the continuous improvement of investment and relationship management processes. This person oversees the monitoring and evaluation of investment assets, ensuring compliance, timely reporting, and effective coordination across teams.

Key Responsibilities:

  • Responsible for the delivery of accurate data and investment insights used for PE (Private Equity) investment decision making
  • Responsible for collating all PE data and reporting requirements from business stakeholders across the PE teams
  • Ensure the completeness and accuracy of business requirements, data models, source-to-target mappings, and data quality control definitions
  • Design data platform components to meet business requirements, encompassing Extract, Transform, Load (ETL) pipelines, metadata management, and data quality functionalities
  • Ensure that industry best practices for testing to perform comprehensive unit testing of developed components have been established
  • Responsible for ensuring any data exceptions and data quality issues are investigated
  • Work with the global private equity team on various ad hoc reports

Key Requirements:

  • BSc in Computer Science (data analysis), Applied Math or Finance
  • 5-7 years’ experience as a data product owner within an asset owner / investment management organization within their data operations capability
  • Proficiency in Python, rest APIs and SQL, data visualization
  • Proficiency in ETL (Extract, Transform, Load) processes and tools
  • Certification in Python, Power BI
  • Knowledge of private equity / GP /LP data
  • Good understanding of data management functions and usage of investment data in various forms
  • Knowledge of financial data providers/source qualities. Experience navigating market data platforms for data sampling and review
  • Ability to guide teams through complex financial data structures
  • Proficient in using tools and methodologies to ensure data consistency, accuracy, and security, aligning with Data Governance best practices.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Finance
Industries
  • Financial Services, Investment Management, and Venture Capital and Private Equity Principals

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