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

Additional Information

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.

Compensation

This is a reasonable, good faith estimate of the current salary range for this role.

GMO’s salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs.

In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.

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