Who You'll Work With:Investment Infrastructure Research Data team is in the midst 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 ModelOps methodologies to solve design goals including rapid onboarding, discovery, quality control, and accessibility.
What You'll Do:- 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
What We're Looking For:- 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, Refinitive QADirect, MSCI, BarraOne, 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
- Must demonstrate good communication skills and be comfortable working closely with senior quantitative analysts and business partners
- A strong desire to document and share work done to aid in long term support
- Demonstrable curiosity in quantitative research and investment
- Python
Nashville, Tennessee
