Senior Business Analyst

Who You’ll Work With

Investment Infrastructure Research Data team is in the midst of a multi-year project to consolidate our quantitative investment framework. The project includes migrating 3 distinct quantitative data architectures onto 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. This role will be focused on the data architecture component.

Our Data Architecture team is focused on building a new infrastructure that embraces polyglot persistence and Model Ops methodologies to solve design goals including rapid onboarding, discovery, quality control, and accessibility.

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

• Degree in Finance/Economics, Operations Management, or Computer Science/Engineering (Master’s degree preferred).
• 5+ years’ experience as a business data analyst involved in enterprise data integration in the finance industry.
• Experience with market data vendors – Bloomberg, Refinitiv, QADirect, MSCI, Barra One, et al.
• 2+ years’ experience writing SQL queries to support data analysis.
• Strong project management, analytical and quantitative skills.
• Data modeling and mapping skills, ability to identify business data types and entity relationships.
• Knowledge of financial instruments, market and fundamental research data.
• Candidate must be willing to take full ownership of projects, covering analysis, functional design and implementation, testing, and deployment tasks.
• Good communication skills and comfortable working closely with senior quantitative analysts and business partners.
• Strong desire to document and share work to aid long term support.
• Demonstrable curiosity in quantitative research and investment.
• Experience with Python.

Nashville, Tennessee

We do not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law.