Market Data Operations 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 Operations Analyst based in India.

• Define, implement, and execute standard operating procedures for market data operations and client support processes.
• Monitor daily market data deliveries, including intraday and end-of-day snapshots, batch processes, scheduled runs, and data feeds across multiple clients.
• Verify successful data generation and delivery while identifying failures and ensuring compliance with operational requirements and SLAs.
• Optimize existing operational processes and automate repetitive or manual data checks to improve efficiency and reliability.
• Respond to market data-related operational requests from clients and internal teams, providing timely investigation and resolution.
• Monitor, triage, investigate, and resolve technical and data quality issues affecting market data feeds.
• Coordinate with developers, vendors, and other stakeholders to escalate and resolve issues that require additional expertise.
• Engage directly with market data vendors regarding data availability, delivery, and quality-related inquiries.
• Coordinate platform releases and production patch deployments with clients.
• Support development teams with parallel-run execution, validation, and production readiness activities.
• Act as Incident Manager for market data incidents, following established incident management procedures.
• Lead post-mortem reviews and root cause analyses, identifying corrective actions and opportunities for continuous improvement.
• Support financial institution clients with API-related market data questions, issues, and investigations.
• Use data analysis and technical investigation to strengthen the reliability, quality, and operational performance of market data services.

• Bachelor’s degree from a recognized engineering university or equivalent professional experience.
• Demonstrated experience using Python for ad-hoc data analysis, investigation, and automation of manual processes.
• Strong proficiency in Microsoft Excel for data analysis and operational investigations.
• Practical knowledge of SQL is beneficial.
• Understanding of financial markets and exchange-traded and OTC derivatives, including forwards, futures, and options.
• Familiarity with multiple asset classes such as interest rates, commodities, credit, equities, and foreign exchange (FX) is highly valued.
• Knowledge of financial concepts such as volatility and beta is an advantage.
• Working knowledge of cloud technologies, particularly AWS, with exposure to services such as Step Functions, Lambda, EC2, and DynamoDB considered a plus.
• Strong troubleshooting and analytical capabilities, with the ability to investigate data discrepancies and technical issues methodically.
• Good English communication skills, with the ability to collaborate effectively with clients and cross-functional technical teams.
• Strong ownership, attention to detail, and a proactive approach to incident resolution and operational improvement.
• Ability to work effectively in a remote environment while coordinating with teams and clients across different time zones.
• Willingness to work the US shift when required, approximately 3:00 PM to 11:30 PM MST.

• Fully remote position for professionals authorized to work in India.
• Opportunity to work with market data and financial technology supporting institutional financial services.
• Exposure to multiple financial asset classes, derivatives, data management, APIs, and cloud technologies.
• Hands-on opportunities to use Python, Excel, SQL, and AWS for analysis, troubleshooting, and process automation.
• Opportunity to contribute to operational automation, incident management, and continuous improvement initiatives.
• Collaborative work environment involving clients, developers, professional services teams, vendors, and other specialists.
• Compensation is determined based on the role’s primary location, with final base pay varying according to relevant knowledge, skills, experience, and location.
• Flexible remote working environment, with shift flexibility required to support global operations.