Market Data for Trading Technologists

CompanyGlobal quantitative trading firm
Company InfoA global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making.
Job TitleSenior Trading Data Analyst
Job Short DescJoin us as a Senior Trading Data Analyst in Dublin, focusing on trading reference data integrity, financial market knowledge, and database skills. Support front office trading and studies environments.
SalaryVariable based on experience
LocationsEU - Dublin
VisaY
Job SummaryWe are seeking a Senior Trading Data Analyst to join our team in Dublin, responsible for critical trading data areas. Your primary focus will be on trading reference data, including instrument definitions, reference prices, and the impact of corporate actions. You will collaborate with the development and static data support teams to maintain data integrity and accuracy, ensuring it meets the needs of trading applications, post-trade processes, and studies environments. This role requires a deep understanding of financial products traded by SIG and the trading venues used. You will work with complex databases and investigate data integration methods. This opportunity offers exposure to the front office trading environment and is ideal for individuals passionate about financial markets and data analysis. The role covers both front office trading and studies environments, involving tasks like defining reference data requirements for Quant teams, sourcing and analyzing data sources, implementing historical data stores, and addressing user requests related to instrument reference data. To qualify, you should have a 3rd level degree, preferably in IT, business, or a finance-related discipline, and at least 5 years of industry experience supporting vendor-sourced financial instrument data. Knowledge of trading instruments such as equities, ETFs, derivatives, and commodities is essential, along with the ability to analyze vendor data upgrades and document their impact. Proficiency in SQL, Python, and relational databases is required, and familiarity with Stock Exchanges, Bloomberg, Reuters, and other vendor suppliers is beneficial. Join our team to contribute to data integrity, workflow optimization, and support for downstream processes and applications in the dynamic world of trading.
Criteria
Define and source reference data
Ensure data integrity and accuracy
Collaborate with Quant and development teams
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