Position Overview:
We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one’s experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job.
Key Responsibilities:
Monitor incoming data to detect anomalies and remediate issues
Investigate and resolve data quality questions and concerns
Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently
Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income
Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes
Design, implement and maintain market data contract pipeline to be align with our data processing. Validate that all data required by market data contracts is present and accurate, and ensure no unauthorized deletions occur.
Partner with investment teams to proactively address their data needs
Design and build efficient and effective controls to help resolve and identify potential data issues
Coordinate with the data engineering team to identify ways to improve our data and monitoring processes
Work with external market data vendors to bring in new data sources required by business users and support existing feeds
Create documentation to support data processing and exploration
Contribute to a rotational “on call” program to facilitate the overnight processing of data
Requirements:
Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems
3+ years of experience working with financial data at an asset management company or financial data provider
Experience orchestrating data pipelines and processes using Apache Airflow
Proficient using Python and SQL to maintain data quality and automate data workflows
Experience modeling data based on vendor methodologies and internal use
Experience building data quality controls and resolving data issues
Proven ability to visualize data using modern data analysis techniques
Strong attention to detail
Strong communication skills
High energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethic
Passionate about a data focused career path
Strong interest in databases and database technologies
Plus:
Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark
Experience with Data Governance toolsets
Interest in, or experience with, Machine Learning for Anomaly Detection
GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.
