Associate, Operations

Overview

Data analyst role within the Pricing Operations Parsing team at S&P Global Market Intelligence, supporting the quality and maintenance of parsed OTC pricing data across 25+ instruments including CDS, indices, bonds, loans, converts and ABS.

What you'll do

• Maintain operational quality of parsed quotes for different asset classes.
• Deliver set targets with desired quality parameters.
• Identify data quality improvement projects.
• Identify opportunities to enhance operational efficiency.
• Provide client (internal and external) support for data.
• Assist in data analysis and compile regular metrics of operational activity, including data quality statistics.
• Perform user acceptance testing for new or enhanced product functionality.
• Keep process documentation updated, covering changes to existing processes and new processes.
• Improve operational efficiency by proposing process enhancements and implementing them as agreed with management.

What you'll need

• Must have general interest in financial markets, bonds and other asset classes, and be keen to expand knowledge.
• Degree level (preferably in finance and/or business).
• 0-2 years' experience in a similar industry.
• Ideally an understanding of financial markets, or a strong interest in the mechanics of financial markets.
• Excellent communication skills.
• Strong Microsoft Excel and Access.
• Working knowledge of SQL.
• Very good eye for detail, with a careful and methodical approach to work.
• Good problem solver.
• Reliable, able to undertake defined duties consistently and to agreed deadlines.
• Good time-manager, able to balance immediate day-to-day deadlines with longer-term work.
• Strong communication skills, particularly written communication.
• Confident in escalating issues to management.
• Seeks advice as needed, for example on prioritization of workload or help with a difficult issue.
• Readily shares information with colleagues and management.
• Excellent team-player skills, fostering and caring about the well-being of the team.

Nice to have

• Understanding of the bond markets is preferable but not essential.
• Working knowledge of Python.

Details

• Location: Gurugram, Haryana, India.
• London shift hours, 12:00 PM to 9:00 PM IST.
• Grade level 07; EEO job group: Entry Professional.