Market Data Ops Analyst - Derivatives & SLA Automation

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 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