Data Analyst Investment Operations

Randstad
Boston, MA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$83,200.0 - $93,600.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Algorithmic Trading Data Analysis Business Logic Big Data Crystal Reports (Reporting Software) Data Governance Data Transformation Database Queries Document-Oriented Databases Python (Programming Language) Lookup Table
+7 more
Pivot Tables Reference Data DataOps SQL Databases Enterprise Data Management Data Management Powerapps

Job description

Analyze large datasets of security and benchmark data (Equities, Fixed Income, Derivatives, Indices) to identify gaps, duplicates, and inconsistencies prior to migration.

  • Perform root-cause analysis on bad data and execute manual or bulk cleanup procedures.

  • Map data attributes between the legacy source system and the target platform, ensuring accurate translation of business logic.

  • Testing & Validation:

  • Lead the reconciliation process between the old and new platforms to ensure data parity.

  • Design and execute detailed test cases for security setup, pricing feeds, and benchmark composition.

  • Identify, log, and track data defects; work closely with the technical implementation team to resolve migration errors.

  • Business Support & Documentation:

  • Validate that the new platform meets the consumption needs of downstream systems and consumers.

  • Develop and document new processes and operational workflows.

  • Document data dictionaries, exception handling procedures, and operational controls.

  • Act as a subject matter expert (SME) for business users during the transition period.

Requirements

We are seeking a highly motivated Operations Analyst who can work independently on complex processes. The ideal candidate will have knowledge of financial products and valuation coupled with a strong background in data management, including experience with SQL, PowerApps, and Python., Bachelor’s degree in Finance, Economics, or a related field

  • 5+ years of experience in Data Operations, Data Governance, or Investment Operations within an Asset Manager or Hedge Fund.

  • Deep understanding of financial instruments (Equities, Bonds, Futures, Options) and Reference Data (Issuers, Corporate Actions, Ratings, Classifications).

  • Familiarity with major index providers (e.g., MSCI, S&P, Bloomberg, FTSE) and how benchmark data is structured (constituents, weights, returns).

  • Advanced Excel proficiency (VLOOKUP, Pivot Tables) is required. Proficiency in SQL for data querying and analysis is highly preferred.

Preferred Qualifications

  • Familiarity with accounting and valuation of various asset classes including structured products and derivatives

  • Experience with Accounting and Trading Systems; APX, CRD, Bloomberg

  • Experience with major EDM (Enterprise Data Management) platforms (e.g., GoldenSource, IHS Markit/S&P EDM, SimCorp).

skills:

Trading Systems,large datasets,business logic,Crystal Reports,Data Analysis,Data Governance,Master data,data management,data transformation,Data Operations,data querying,Document data,Enterprise Data Management,VLOOKUP,Advanced Excel proficiency,Pivot Tables,PowerApps,Python,reference data,SQL,Proficiency in SQL,detail-oriented,highly motivated,work independently,UAT,accounting,asset classes,reconciliation process,benchmark data,business knowledge,Business Support,calculations,Composite,Corporate Actions,Economics,EDM,Derivatives,knowledge of financial products,financial instruments,Equities,Fund Performance,Global Investment,Hedge Fund,Investment Operations,financial,Finance,maintenance,Testing & Validation,root-cause analysis,Security,Shareholder,exception handling,pricing,structured products,technical implementation,operational workflows

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