Market Data Analyst

Market Data Operations focuses on public markets Investment Data. The team collects and validates information on equities, bonds, funds and derivatives. This data is used for our wealth management platform reaching over 1000 firms globally and over 100,000 users.

We are currently seeking a Market Data Operations Analyst to join our growing presence in Pune. This role will be dedicated to ensuring Addepar's clients have timely and accurate data to make investment decisions. 

• Daily data quality validations on pricing, fundamental and corporate action data
• Investigate and Resolve exceptions on a variety of data assets, including reference data, pricing data, corporate actions, fund data and fx data
• Research data quality issues, identify resolutions and updating systems as needed
• Explore new datasets and analytics based on new data sources
• Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency.
• Investigate and troubleshoot market data pipeline processing exceptions
• Collaborate with third-party vendors to triage and swiftly resolve issues 

• Minimum 2+ years of relevant work experience in the financial investment/advisory industry with deep knowledge of capital markets.
• Asset Reference Data- Understanding of various type financial instruments- Equities, Fixed Income, Derivatives and Currencies
• Corporate Action - Monitor, research and interpret different events impacting the asset
• Understanding of pricing process and familiarity with Pricing data vendors
• Technical skills preferred -

  Proficiency with SQL queries highly preferred

  , Data mining projects or  Knowing Databricks application are an added advantage.
• Excellent interpersonal skills and strong self-motivation needed to work efficiently in a global team
• Experience in the financial investment/advisory industry with capital markets

• Experience with ICE Data Feeds and Eikon/Refinitiv Workspace and similar data platforms is highly preferred

• Flexible to work in various shifts if required.

Important Note - This role requires working from our Pune office 3 days a week (Hybrid work model)