Security Data Ops Lead: Bank Debt & Leveraged Loans

Landing Point

City of Rochester (NY)

Sur place

USD 130 000 - 175 000

Plein temps

14 jours+

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Résumé du poste

Landing Point, a global investment firm, seeks a Reference Data Operations Specialist to join its Operations & Middle Office team in New York. You will manage the Global Security Master and ensure accurate security setup and data quality across bank debt instruments.

You will collaborate with data vendors and internal teams, implement new controls, and streamline processing to support trading and risk workflows in a fast-paced environment.

Qualifications

  • 5-7+ years of experience in financial services, ideally in operations at a broker-dealer or asset management firm.
  • Strong knowledge of Bank Debt, Leveraged Loans, and other Less Liquid Credit Instruments.
  • Experience with major data vendors and data validation processes.

Responsabilités

  • Ensure accurate creation and maintenance of all tradable securities, focusing on bank debt instruments in the Global Security Master
  • Oversee data quality control checks via system and business validations
  • Create and maintain procedures, workflows, and controls to drive operational efficiency
  • Liaise and resolve ad hoc issues from internal and external clients and data vendors
  • Work with Development on requirements and assist in designing new processes, workflows, and controls
  • Spearhead evaluation and implementation of new vendors and products in the Bank Debt/Leveraged Loan space
  • Oversee bank loan lifecycle events and ensure timely Security Master updates

Connaissances

SQL
MS Excel
Data quality controls

Outils

Bloomberg Terminal
Refinitiv
Wall Street Office
ClearPar
Markit
ICE

Description du poste

Landing Point, a global investment firm, seeks a Reference Data Operations Specialist to join its Operations & Middle Office team in New York. You will manage the Global Security Master and ensure accurate security setup and data quality across bank debt instruments.

You will collaborate with data vendors and internal teams, implement new controls, and streamline processing to support trading and risk workflows in a fast-paced environment.

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