Market Data Operations Analyst (0511DA3)

Referment; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Referment is seeking a Market Data Operations Analyst to support SaaS clients by monitoring data generation processes and ensuring data integrity across multiple client deployments. The role blends technical and functional support with incident management, coordinating with clients, vendors, and internal teams to maintain SLA-driven data operations.

The ideal candidate will have a bachelor’s degree or equivalent experience, strong Python skills for data analysis, Excel proficiency, and exposure

Qualifications

• Bachelor's degree or equivalent professional experience.
• Good Python skills for ad-hoc data analysis and automation of manual processes.
• Excel proficiency; SQL exposure is beneficial.
• Understanding of derivatives across asset classes (rates, commodities, credit, equities, FX) and concepts like volatility and beta.
• Strong troubleshooting and clear English communication.

Responsibilities

• Define, implement and run standard operating procedures for clients’ market data operations.
• Perform daily monitoring and verification of market data deliveries across multiple clients, ensuring SLA compliance.
• Automate manual checks to improve processes.
• Respond to daily operational requests and market data queries from clients and internal teams.
• Monitor, triage and resolve data-feed issues, escalating as needed.
• Engage with vendors on data availability, delivery and quality.

Skills

Python

Excel

SQL

English communication

Education

Bachelor's degree

Job description

Referment is working with a capital markets fintech whose analytics software is used by financial institutions to price derivatives and manage risk. This Market Data Operations Analyst supports the firm's SaaS clients by monitoring the market data generation processes behind its data management framework, protecting the integrity and quality of the data clients depend on.

The role blends technical and functional support with incident management and coordination — working with clients, vendors and internal product, engineering and professional services teams to keep data operations running to SLA.

The Role

• 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.

What We're Looking For

• 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; practical exposure to SQL is beneficial.
• 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.

Desirable

• 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.

This could suit...

market data or operations analysts with a derivatives background who combine scripting skills with hands‑on production support.

#Referment