State Street Investment Management is looking to improve the accuracy and efficiency of their investment data quality control processes by enhancing existing quality checks and establishing new ones for the research models and underlying data infrastructure.
Requirements
- Work independently on data issues using SQL, MS Excel.
- Familiar with investment data from vendors such as FACTSET, Bloomberg, Thomson Reuters (Refinitiv), MSCI, and S&P etc.
- ability to build simple formulae in Excel and R (or similar platform) and study data patterns independently.
- Familiar with monitoring of production systems with large scale data transmission.
- Hands on experience in SQL Programming, basic database concepts.
- Hands on experience in Job orchestration and troubleshooting using Autosys. (Similar tools)
- Hands on experience in shell scripting and basic understanding of unix operating systems.
Responsibilities
- Escalation point for Incident Management -including major incidents
- Escalation for team handling advanced Support of finance applications including analysis of production issues that fall outside predefined procedures
- Review and monitor issue tracking via ticket tracking system and participation in Metric document production
- Guide ownership of problems and driving towards resolution
- Process improvement-review and enhance as needed with a goal towards efficiency and effectiveness
- Onboarding of new support requirements -outline requirements and clarify possible break points
- Improve (and in some case build) robust monitoring process around investment data and perform data investigations.
Other
- Understand financial instruments, basic financial engineering and data items associated with them
- Engage with vendors as per need basis and evaluate macroeconomic data available across vendors.
- Analyze market data coverage for various asset classes as per the requirements.
- Coordinate and communicate across asset class specific data specialists, developers, Incident Management team, research teams locally/globally.
- Good understanding of capital markets, concepts and the data associated with it. Well versed with equity fundamentals and fixed income analytics. Prior experience in handling Index/security level datasets is a plus.
