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Investment Data Analyst

Investment Data Analyst

CompanyVoya Financial
LocationNew York, NY, USA, Atlanta, GA, USA
Salary$88000 – $110000
TypeFull-Time
DegreesBachelor’s
Experience LevelExpert or higher

Requirements

  • Bachelor’s Degree, or equivalent experience preferably in finance, data, or information systems. A graduate degree is a plus.
  • 10+ years of investment industry experience with a good understanding of investment data across a broad array of asset classes (Fixed Income, Equity, Derivatives, Alternatives, Funds, etc.).
  • 3+ years of experience in product ownership experience.
  • Advanced understanding of investment instrument mastering and extensive experience with security master systems and data management.
  • Advanced experience with Bloomberg Data, data warehouse architecture and data mapping.
  • Good familiarity with investment platforms and systems (e.g., Bloomberg AIM, BlackRock Aladdin) and reporting platforms (e.g., SQL Management Studio, Power BI, WebFOCUS). Experience with Snowflake is preferred, but not required.
  • Highly effective communicator with excellent interpersonal and presentation skills (verbal and written). Capable of effectively communicating functional requirements to technical stakeholders.
  • Excellent decision-making ability to manage a complex, ever-changing priority list and resolve conflicts with competing priorities.
  • Strong problem solver. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities.
  • Ability to embrace, adapt, and lead through change, foster effective partnerships, and drive effective collaboration with peers and vendor resources.
  • Demonstrate high energy, resiliency, capacity and the ability to handle multiple priorities and execute.

Responsibilities

  • Drive the design and implementation of instrument mastering concepts, approach and processes with a strong emphasis on understanding the business need across various functions.
  • Perform instrument mastering across various sources and aspects of a financial instrument such as instrument types, sectors, issuers, reference attributes, cross-reference etc. Monitor and resolve data discrepancies timely.
  • Coordinate and liaise with our respective external vendors (e.g., Bloomberg, ICE) to source instrument level attributes based on the needs of internal stakeholders.
  • Confirm that all data was received per daily and monthly requirement and that it was successfully captured in the instrument data mastering. Interact with IT to ensure that all data was received as expected and loaded completely and without incident to the data warehouse.
  • Create and manage data controls that ensure the timeliness, completeness, consistency, and accuracy of the data received. Perform forensic data analysis to assess the issues and provide root cause analysis. Monitor and resolve data discrepancies timely, both as a tactical measure and long-term remediation.
  • Ensure that the pathway of data is accurately documented with business specifications that illustrate change control, a data dictionary of available concepts, and lineage as to how that data moves and is transformed throughout its journey.
  • As the needs of the business evolve, new products are launched, and regulations change the team will need to be adaptable to be the entry point for those developing data needs. An understanding of the investment business and the lens through which each customer views the data is paramount. As new requests are raised, they must be analyzed, prioritized, and communicated to our business development team and in partnership with IT. This also requires communication to the business to help them understand how they are receiving data and where it comes from.
  • Partake in and coordinate conversations with vendors and investment teams to propose and assist in proposing creative solutions related to security master data to support the investment business. Represent team with knowledge of key processes and systems to support developing accurate, sustainable solutions.

Preferred Qualifications

  • Experience with Snowflake is preferred, but not required.