Hybrid Research Associate: Quant & Executive Compensation

Esgaia; Manila; Hybrid; PHP 300,000 - 380,000; Part time

Job summary

Glass Lewis in Makati City is seeking entry-level Research Associates to support Quantitative Research and Executive Compensation projects. You will review disclosures, collect and verify data, and contribute to analyses of pay and performance. Comprehensive paid training is provided.

This is a hybrid, project-based role with four to six months typically, start Jan 11, 2027; strong English, data interpretation, Excel familiarity, and careful attention to detail are valued.

Qualifications

• Bachelor's degree required.
• Strong analytical and research skills.
• Fluency in spoken and written English.
• Microsoft Excel proficiency is preferred for Quantitative Research tasks.
• Careful attention to detail and accuracy.
• Good time management and communication in person and remote settings.
• Willingness to learn and adapt to priorities.

Responsibilities

• Review proxy statements, annual reports and public filings to identify compensation and financial information.
• Collect, enter and verify data using proprietary tools and Excel; flag inconsistencies.
• Apply Glass Lewis methodologies to prepare preliminary assessments under supervision.
• Review peers’ data and written work and incorporate feedback.
• Coordinate with colleagues in Manila, North America and other offices to meet deadlines.

Skills

Analytical skills

Research skills

English fluency

Excel proficiency

Attention to detail

Time management

Communication

Education

Bachelor's degree

Tools

Microsoft Excel

Job description

Glass Lewis in Makati City is seeking entry-level Research Associates to support Quantitative Research and Executive Compensation projects. You will review disclosures, collect and verify data, and contribute to analyses of pay and performance. Comprehensive paid training is provided.

This is a hybrid, project-based role with four to six months typically, start Jan 11, 2027; strong English, data interpretation, Excel familiarity, and careful attention to detail are valued.