Description

You will apply data science to solve complex quantitative problems in quantitative research and risk management.

This role is on-site.

Responsibilities

• Perform data exploration and statistical analysis for quantitative research.
• Develop ETL applications to meet core quant and risk team data requirements.
• Build production-quality, data-driven software solutions for data management and analysis.
• Diagnose data issues and recommend improvements to reliability, efficiency, and quality.
• Coordinate with research and business experts to refine data management best practices.

Required Skills

• 10+ years of professional experience in data science or quantitative finance.
• Proficiency in Python, R, MATLAB, C/C++, Java, and SQL.
• Experience managing large datasets across platforms like Oracle, Postgres, and Snowflake.
• Strong knowledge of advanced statistics, preferably time series.
• Experience in quantitative finance or financial derivatives is required.
• Bachelor’s degree in Data Science, Engineering, Mathematics, or Statistics.

Preferred Skills

• Post Graduate degree in a relevant quantitative field.
• Experience with code versioning tools like Git.
• Experience serving as a liaison between technology and financial engineering teams.

Key Skills

Education

Any Graduate