Note: The job is a remote job and is open to candidates in USA. Referment is recruiting for an unnamed capital markets fintech whose analytics software helps financial institutions price derivatives and manage risk. The Market Data Operations Analyst monitors and supports market data operations, including delivery integrity, client requests, incident resolution, and coordination with vendors and internal teams.
Responsibilities
- Define, implement and run standard operating procedures for clients' market data operations
- Perform daily monitoring and verification of market data deliveries — including scheduled intraday and end-of-day snapshots across multiple clients — checking batches and feeds for operational integrity and SLA compliance
- Improve processes by optimising and automating manual checks
- Respond to daily operational requests and market data queries from clients and internal groups
- Monitor, triage and resolve technical and data-quality issues on data feeds, escalating to developers, vendors or other stakeholders as needed
- Engage with vendors on market data availability, delivery and quality
- Coordinate releases and production patch deployments with clients and support development teams on parallel runs
- Act as incident manager for market data incidents, leading post-mortems and root cause analysis
- Assist financial-institution clients with the market data API platform
Skills
- A bachelor's degree from a leading engineering university or equivalent professional experience
- Good Python skills for ad-hoc data analysis and automating manual processes
- Proficiency in Microsoft Excel
- Understanding of exchange-traded and OTC derivatives (forwards, futures, options) across asset classes including rates, commodities, credit, equities and FX, with familiarity with concepts such as volatility and beta
- Strong troubleshooting abilities and good English communication skills
- Willingness to work a US shift (3:00 PM to 11:30 PM MST) when required
- Practical exposure to SQL
- Working knowledge of cloud services, ideally AWS (Step Functions, Lambda, EC2, DynamoDB)
- Using Excel, Python and SQL together for investigation and ad-hoc analysis of market data issues
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