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
About AB
We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.
Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!
All are encouraged to apply. AB does 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. AB’s policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria.
Nashville, Tennessee
