Data Analyst Investment Domain

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
8-13 years
Hybrid - Hyderabad(Gachibowli)
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 1 year ago
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Job Description

  • The Minimum Qualifications
  • Education: Bachelors or Master s degree in Finance, Computer Science, Information Systems or related field.
  • Experience:
  • •
  • 7-9 years of experience as a Data Analyst or similar role supporting data analytics projects.
  • •
  • 5+ years of Mastery in SQL.
  • •
  • 5+ years of experience in financial services, insurance, or related industry.
  • •
  • Experience with data manipulation using Python.
  • •
  • Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.
  • •
  • Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons.
  • •
  • Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses.
  • •
  • Experience with BI tools like Power BI, MicroStrategy, Tableau.
  • •
  • Excellent communication, problem-solving, and stakeholder management skills.
  • •
  • Experience in Agile/Scrum and working with cross-functional delivery teams.
  • •
  • Proficiency in financial reporting tools (e.g., Power BI, Tableau).
  • The Ideal Qualifications
  • Technical Skills:
  • •
  • Familiarity with regulatory requirements and compliance standards in the investment management industry.
  • •
  • Ability to lead cross-functional teams and manage complex projects.
  • •
  • Hands-on experience with IBORs such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.
  • •
  • Familiarity with investment data platforms such as Golden Source, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
  • •
  • Experience with cloud data platforms like Snowflake and Databricks.

Skills

PythonSQLInvestment BankingETLBondsEquityInformaticaDerivativesOperationsDelivery

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