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 issuesInvestigate and resolve data quality questions and concernsDevelop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficientlyBecome 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 incomeDevelop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processesDesign, 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 needsDesign and build efficient and effective controls to help resolve and identify potential data issuesCoordinate with the data engineering team to identify ways to improve our data and monitoring processesWork with external market data vendors to bring in new data sources required by business users and support existing feedsCreate documentation to support data processing and explorationContribute 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 systems3+ years of experience working with financial data at an asset management company or financial data providerExperience orchestrating data pipelines and processes using Apache AirflowProficient using Python and SQL to maintain data quality and automate data workflowsExperience modeling data based on vendor methodologies and internal useExperience building data quality controls and resolving data issuesProven ability to visualize data using modern data analysis techniquesStrong attention to detailStrong communication skillsHigh energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethicPassionate about a data focused career pathStrong interest in databases and database technologies
Plus:
Experience with data systems implemented in the cloud using Databricks, Delta Lake, SparkExperience with Data Governance toolsetsInterest 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.
