Market Data Ops Analyst

Accountabilities

• • Define, implement, and execute standard operating procedures for market data operations, ensuring consistent and reliable processes across client environments.
  • Monitor and validate daily market data deliveries, including intraday and end-of-day snapshots, batch processes, scheduled runs, and data feeds, ensuring operational integrity and SLA compliance.
  • Investigate market data quality, availability, and technical issues, performing triage and resolution while escalating complex problems to developers, vendors, or relevant stakeholders.
  • Respond to operational requests from clients and internal teams, providing timely support for market data queries and issues.
  • Use Python, Excel, SQL, and other tools to perform ad-hoc data analysis, investigate discrepancies, and improve operational workflows.
  • Identify opportunities to optimize and automate manual checks and recurring processes, contributing to greater efficiency and reliability.
  • Engage with external market data vendors to investigate availability, delivery, and quality-related issues and coordinate appropriate resolutions.
  • Coordinate platform releases and production patch deployments with clients, supporting development teams with parallel runs, testing, and validation activities.
  • Act as Incident Manager for market data incidents, coordinating resolution activities, leading post-mortems and root-cause analyses, and driving preventive improvements.
  • Support clients with market-data-related questions and issues involving APIs and data management platforms.
  • Collaborate with engineering, professional services, client-facing, and other internal teams to maintain operational excellence and a high level of client satisfaction.

  Requirements

  • Bachelor’s degree in Engineering or a related field from a recognized university, or equivalent professional experience.
  • Experience using Python for ad-hoc data analysis, troubleshooting, and automation of manual operational processes.
  • Strong proficiency in Microsoft Excel, with practical SQL experience considered an advantage.
  • Understanding of financial markets and exchange-traded and OTC derivatives, including forwards, futures, and options across asset classes such as interest rates, commodities, credit, equities, and foreign exchange.
  • Familiarity with financial concepts such as volatility and beta is advantageous.
  • Working knowledge of cloud services, particularly AWS technologies such as Step Functions, Lambda, EC2, and DynamoDB, is a plus.
  • Strong analytical and troubleshooting skills, with the ability to investigate data and technical issues systematically and identify root causes.
  • Excellent English communication skills and confidence working with clients, vendors, developers, and other stakeholders.
  • Ability to work independently in a remote environment while maintaining strong operational discipline and responsiveness.
  • Willingness to work the required US shift when needed, approximately 3:00 PM to 11:30 PM MST.
  • Experience working with multiple financial asset classes and the ability to combine Excel, Python, and SQL for market data investigation are valuable differentiators.
  • Authorization to work in India is required.

  Benefits

  • Fully remote position for professionals authorized to work in India.
  • Opportunity to work with financial institutions and gain exposure to sophisticated market data and financial technology environments.
  • Hands-on experience across market data operations, APIs, cloud technologies, automation, incident management, and data quality.
  • Collaboration with international clients, vendors, engineering teams, and financial technology professionals.
  • Opportunity to contribute to process automation, operational optimization, and continuous improvement initiatives.
  • Salary is determined based on the role's location, as well as job-related knowledge, skills, and experience.
  • Exposure to multiple financial markets and asset classes, including interest rates, commodities, credit, equities, and FX.