Senior Model Risk Analyst
UpgradeFull Time
Senior (5 to 8 years)
Candidates must have 5+ years of experience in analytics, data engineering, BI, or data management roles. Essential skills include advanced proficiency in SQL and Python (Pandas, NumPy), experience with data visualization tools like Tableau or Power BI, and familiarity with cloud platforms such as Snowflake or Databricks and ETL workflows. A meticulous, curious, and solutions-focused mindset is also required, with a preference for experience in private markets or financial services and a degree in Computer Science, Finance, Data Science, Mathematics, or a related field.
The Data Modelling Associate will design and build data models to support reporting, forecasting, and analysis. They will work cross-functionally with Technology, Investment, Finance, and Portfolio Management teams to unlock insights from complex datasets and build dashboards and tools using SQL, Python, Databricks, Tableau/Power BI, and Excel. Responsibilities also include contributing to data governance, quality assurance, and process improvement, as well as supporting innovation and data transformation initiatives.
Global private markets investment management firm
Pantheon manages investments in private markets for a diverse group of over 1,000 clients, including pension plans, insurance companies, and private wealth clients. Their investment approach covers various asset classes and stages, offering flagship funds, integrated programs, and tailored solutions to meet client needs. Pantheon also oversees Pantheon International Plc and Pantheon Infrastructure Plc, both listed on the London Stock Exchange. With $88.9 billion in assets under management as of September 2022, Pantheon stands out from competitors through its extensive global presence and a long-standing reputation since its founding in 1982. The company's goal is to provide effective investment solutions that cater to the unique requirements of their clients in the private markets.