Market Data Ops Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Market Data Ops Analyst based in India.

This is a fully remote opportunity supporting financial institutions through reliable, high-quality market data operations.

• Monitor market data generation, deliveries, feeds, and batch processes across multiple client environments.
• 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.

• 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.

• 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.