Senior Business Analyst - Quantitative Investment Data

About the role

The Investment Infrastructure Research Data team is running a multi-year project to consolidate its quantitative investment framework, including migrating three quantitative data architectures to Snowflake, a new research and back-testing framework, a new portfolio implementation toolkit, a new risk monitoring environment and a new order and execution management system. The team uses polyglot persistence and ModelOps approaches to enable rapid onboarding, discovery, quality control and accessibility. This Senior Business Analyst manages the onboarding of new research datasets and works closely with the market data team.

Key responsibilities

• Manage the onboarding of new research datasets
• Collaborate with the market data team to secure new data trial and license agreements
• Write data pipeline specifications, map external data to the internal data model, develop test cases, review test results and oversee related development projects
• Write data quality rule specifications, configure related metadata and work with the Research Data Oversight team
• Author data writeups in the data catalog and configure related metadata
• Manage permissions around licensed data sets
• Improve data management and oversight processes, documenting data-related incidents with the operations team and implementing smarter controls to mitigate the impact of data provider outages

Required profile

• Degree in Finance, Economics, Operations Management or Computer Science/Engineering; Master's degree preferred
• 5+ years of experience as a business data analyst involved in enterprise data integration in the finance industry
• Experience with market data vendors such as Bloomberg, Refinitiv, QADirect, MSCI, Barra and One
• 2+ years of experience writing SQL queries and Python to support data analysis preferred
• Willingness to take full ownership of projects, covering analysis, functional design, implementation, testing and deployment
• Good communication skills and comfort working with senior quantitative analysts and business partners
• A strong desire to document work for long-term support and demonstrable curiosity about quantitative research and investment

Required skills

• SQL and Python
• Data modeling and mapping, identifying business data types and entity relationships
• Project management, analytical and quantitative skills
• Knowledge of financial instruments, market and fundamental research data