Market Data Operations Analyst

Since our founding in 1996, Numerix has been at the vanguard of financial technology, providing quantitative analytics and software that redefine pricing and risk management across the financial markets. Through recent strategic acquisitions, Numerix has further strengthened its leadership position, empowering financial institutions worldwide to transform risk into opportunity with confidence. As AI reshapes capital markets technology, Numerix is focused on combining the speed and flexibility of AI with the deterministic, auditable, and governed calculations that financial institutions require. We are seeking a Market Data Operations Analyst to support Numerix SaaS clients by monitoring market data generation processes used by Numerix Financial Systems to ensure the integrity and the quality of market data as part of Numerix Data Management (NXDM) framework. This role involves technical and functional support, incident management, and coordination with clients and internal teams (P&E, PS, etc.), contributing directly to operational excellence and client satisfaction. What You'll Do: Define, implement, and execute standard operating procedures for Numerix clients’ market data operation processes. Perform daily monitoring and verification of market data deliveries—including scheduled intraday and end-of-day snapshots for multiple clients—by checking the success or failure of runs, batch processes, and data feeds to ensure operational integrity and SLA compliance. Enhance existing processes through optimization and automation of manual checks. Respond to daily requests for operational support activities related to market data queries, raised by both our clients and internal groups. Monitor, triage, and resolve technical and data quality issues related to Numerix data feeds, escalating to developers, vendors, or other stakeholders as needed. Engage with vendors to address inquiries related to market data availability, delivery or quality. Coordinate NXDM releases and production patch deployments with clients, and support development teams in executing and validating parallel runs. Act as Incident Manager in accordance with incident management policies for market data incidents, leading Post-Mortem review and root cause analysis to drive continuous improvement. Assist Numerix clients (financial institutions) with our API platform for market data related issues and queries. What We're Looking For: Bachelor’s degree from a leading engineering university, or equivalent professional experience. Good experience in Python for ad-hoc data analysis and automating manual processes. Proficiency in Microsoft Excel; practical exposure to SQL is beneficial for the role. Understanding of exchange-traded and OTC derivatives (e.g., forwards, futures, options) across multiple asset classes, including IR, commodities, credit, equities, and FX. Familiarity with financial concepts such as volatility and beta is advantageous. Working Knowledge of Cloud Services, ideally AWS (Step Functions, Lambda, EC2, DynamoDB, etc.) is a plus. Strong troubleshooting abilities and good English communication skills. Willingness to work in US shift when required (3:00 PM to 11:30 PM MST). Extra Credit: Understanding of multiple asset classes (IR, Commodities, Credit, Equities, FX). Ability to use Excel, Python and SQL for ad-hoc data analysis and investigation of market data issues. Where You’ll Work: This is a fully remote role open to anyone who is authorized to work in India. An important note on salary: The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience. Also note that unsolicited contact from third-party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.