Financial Data Analyst/ Engineer
We are seeking a highly skilled Financial Data Specialist to join the Static Data Team at Susquehanna International Group (SIG).
What you’ll be part of:
You will be joining the Static Data team within our Technology department. This team is responsible for the vital set up and maintenance of our daily instrument reference data. You will work alongside development and Trading Support teams to ensure the integrity and accuracy of the data to our trading desks
You will be required to build financial knowledge of the vast range of products traded by SIG as well as specifics of the trading venues we operate on.
You will work with the complex structure of the databases and investigate ways of obtaining, maintaining, validating, reconciling and monitoring data using internal tools and workflows.
This is a superb opportunity to gain exposure to front office trading environment for someone with a keen interest in the financial markets and with a focus on the tuning data sets as well as providing business and technical support to the wider teams.
Key Responsibilities:
Static Data Management and Operations:
- Manage and maintain the static data infrastructure, ensuring the accuracy and integrity of financial data.
- Oversee the acquisition, storage, and distribution of reference data, and other static datasets.
- Implement and monitor data quality controls to identify and resolve discrepancies and issues.
- Collaborate with trading, risk management, and other operational teams to ensure data requirements are met.
Financial Instruments Expertise:
- Provide expert knowledge on various financial instruments, including equities, ETFs, and derivatives.
- Develop and maintain data models and schemas for financial instruments, particularly equities, ETFs, Options & derivatives
- Possess a solid understanding of financial corporate actions and how they impact financial instruments.
Technical Skills and Development:
- Write, optimize, and maintain complex SQL queries for data extraction, transformation, and loading (ETL) processes.
- Ensure the performance, scalability, and reliability of data systems through continuous improvement and optimization.
- Maintain a job scheduler app that runs workloads throughout the day.
- Create and maintain connections to external hosts using different techniques (sFTP, FTP, API, etc.) to transfer reference data files from multiple vendors/sources.
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.
What we are looking for
- Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field.
- Minimum of 5 years of experience in data engineering or a related field with a focus on financial data and operations.
- Deep understanding of financial instruments, particularly equities, ETFs, and derivatives.
- Experience with financial data providers such as Bloomberg and exchanges around the world.
- Proficiency in SQL for data manipulation, querying, and performance tuning.
- Familiarity with workload automation and job scheduling applications such as Tidal.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.