Market Data Ops Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

👻 Ghost score 10%

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Logo of Numerix

Numerix

201 - 500 employees

Founded 1996

💳 Fintech

🏦 Banking

Fintech • Banking • Trading

Numerix is a financial technology company that empowers market participants to transform uncertainty into opportunity through advanced quantitative analytics and technology. It provides comprehensive solutions across the trade lifecycle, including tools for risk management, trading, and quantitative research. With a strong focus on accuracy, transparency, and innovation, Numerix serves a global client base by delivering sophisticated analytics for derivatives, structured finance, and capital markets.

📋 Description

• 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 runs, batch processes, and data feeds for operational integrity and SLA compliance • Enhance existing processes through optimization and automation of manual checks • Respond to operational support requests related to market data queries from clients and internal groups • Monitor, triage, and resolve technical and data quality issues related to Numerix data feeds, escalating as needed • Engage with vendors regarding market data availability, delivery, or quality • Coordinate NXDM releases and production patch deployments with clients • Support development teams in executing and validating parallel runs • Act as Incident Manager for market data incidents, leading Post-Mortem reviews and root cause analysis • Assist Numerix clients with API-platform market data issues and queries

🎯 Requirements

• 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)

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