Reference Data Analyst

Overview

Susquehanna International Group, LLP (SIG) is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. We are leaders and innovators in high performance, low latency trading. Our traders, quants, developers, and systems engineers work side by side to develop and implement our trading strategies. Our Asia Pacific Headquarters is based in Sydney, where we have a team of over 130.

SIG has an opening for a Reference Data Analyst in our Market Data Intelligence Team. The team provides the critical instrument static data for use by the Front Office trading sys

Job Summary

In this role you will be responsible for the sourcing and delivery of daily instrument static data. You will collaborate with business and technology stakeholders to understand their data needs and help build and validate the data pipelines for these systems.

You will act as a point of contact for queries and questions from different business areas of SIG group.

Responsibilities include :

• Monitor corporate actions and market data events to proactively ensure processing and avoid disruptions to downstream systems
• Analysing , Retrieving and interpreting data from third party data sources.
• Regularly reviewing processes and outstanding issues to ensure a high level of service is maintained.
• Identifying improvements within existing operational processes and driving projects aimed at improving static data tools.

What we are looking for

• In-depth knowledge of all asset classes and their Reference data with focus on derivatives, ETFs, stock and indices.
• Minimum of 4 years experience in a similar Reference Data Management function
• Experience with data vendors such as Bloomberg, Refinitiv, Markit and ICE
• Strong SQL Queries + relational databases and querying/updating database tables
• Experience of working in an Agile environment
• Ability to multi-task, meet deadlines, familiar with high volumes of data changes and prioritise workload

Personal Attributes

• Effective problem solving and analytical skills.
• Strong organizational skills.
• Strong communication skills (verbal and written)
• Pro-active and highly motivated – desire to question beyond the basics, drive for problem resolution
• High level of accuracy and attention to detail are essential.
• Self-motivated and creative with an ability to learn new systems and processes.