Front Office Trading Reference Data Owner

SIG Susquehanna; Dublin; On-site; EUR 70,000 - 95,000; Full time

Job summary

SIG Susquehanna's Static Data team seeks a production-focused Data Support Analyst to ensure accuracy and availability of trading reference data across front office, post-trade, and quantitative systems. You will act as first line support for data issues, onboarding new venues, and coordinating changes with traders, quants, and operations.

The role requires deep knowledge of trading workflows, SQL/Python, and working with market data vendors.

Qualifications

• 5+ years in financial services, trading support or reference data roles.
• Strong understanding of financial instruments and trading workflows.
• Experience with market data vendors (Bloomberg, Exchanges).

Responsibilities

• Act as first line support for issues related to trading reference data.
• Investigate and resolve data issues impacting trading and downstream systems.
• Take ownership of data quality and ensure accuracy across all environments.
• Understand and manage the impact of data changes on trading workflows.
• Onboard new trading venues, brokers, and financial instruments.
• Coordinate updates with development teams and ensure smooth rollout.
• Work closely with traders, operations, and developers to support trading activity.
• Communicate clearly on issues, changes, and data impacts.
• Provide guidance on reference data behaviour and system expectations.

Skills

Analytical thinking

Communication

Problem solving

Multi-tasking

Attention to detail

Tools

SQL

Python

Relational Databases

Bloomberg data

Data querying

Job description

SIG Susquehanna's Static Data team seeks a production-focused Data Support Analyst to ensure accuracy and availability of trading reference data across front office, post-trade, and quantitative systems. You will act as first line support for data issues, onboarding new venues, and coordinating changes with traders, quants, and operations.

The role requires deep knowledge of trading workflows, SQL/Python, and working with market data vendors.