Cambridgeassociates

Cambridgeassociates

Associate, Portfolio Compliance

Boston

Sponsorship not specifiedDetected 4 days ago
ExcelResearchCommunicationProblem Solving

About the role

  • Cambridge Associates ("CA") is a leading global investment firm.
  • Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania.
  • Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world.

Requirements

  • Advanced proficiency in Microsoft Excel
  • Familiarity with the major asset classes and their role in an investment portfolio

Nice to have

  • Establishing a thorough understanding of client investment policy statements, the policies of Cambridge Associates and CA Capital Management
  • Creating and maintaining appropriate Excel models to monitor portfolio compliance both pre - and post-trade
  • Ensuring all transaction-based compliance issues are properly investigated, documented, and incorporated into monthly reports
  • Assist the Portfolio Compliance Manager in proposing policy amendments to address identified risks and/or inefficiencies
  • Working with other departments within the firm to complete various regulatory filings in a timely manner
  • Serving as a policy resource to members of the investment, legal, management and operational teams
  • Staying abreast of industry trends through personal research, networking, and conference attendance
  • Performing other ad hoc requests as assigned

Compensation

  • 66800 Pay Range Maximum:
  • In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package.
  • Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity.

This listing is sourced directly from Cambridgeassociates's careers page and normalized into a canonical job model.