Who You’ll Work With:
Our 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.
Our Research Data 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 of 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 of experience writing SQL queries/Python to support data analysis preferred
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