Quantitative Research Analyst (Entry-Level)

About the role

We are seeking an analytical and curious Quantitative Research Analyst to work with large datasets, statistical models, and quantitative methods. This entry‑level position offers the chance to apply mathematical and programming skills to uncover patterns that drive evidence‑based decisions.

Key responsibilities

• Collect, clean, and analyze large multi‑source datasets.
• Apply statistical and quantitative techniques to identify relationships.
• Develop, test, and refine analytical models and research methodologies.
• Conduct exploratory research and test data‑driven hypotheses.
• Build analytical tools, simulations, and models using appropriate programming languages.
• Validate model outputs and investigate anomalies.
• Prepare research findings, analytical reports, and presentations.
• Collaborate with researchers, analysts, engineers, and business teams.
• Document methodologies, assumptions, datasets, and conclusions.

Required profile

• Strong foundation in mathematics, statistics, economics, computer science, or a related quantitative field.
• Comfortable working with large and complex datasets.
• Attention to detail and a methodical research approach.
• Ability to communicate technical findings clearly.
• Curiosity, independent thinking, and enthusiasm for quantitative research.

Required skills

• Python
• R
• SQL

What we offer

• Hands‑on experience with real‑world quantitative research and datasets.
• Exposure to statistical modeling, data science, and analytical methodologies.
• Mentorship from experienced researchers and quantitative professionals.
• Collaborative environment encouraging experimentation and analytical thinking.
• Opportunities to develop advanced technical and research skills.