Description

Analyze large, complex datasets from banking and capital markets domains to extract insights, identify trends, and support risk and regulatory reporting use cases.

This role is on-site.

Responsibilities

• Develop, validate, and deploy statistical models and machine learning solutions to support business initiatives.
• Design and optimize SQL queries for data extraction, transformation, and analysis of large structured and unstructured datasets.
• Perform data exploration, feature engineering, and model performance evaluation using Python and related libraries.
• Collaborate with stakeholders to translate financial and regulatory requirements into analytical solutions.
• Communicate insights through dashboards, visualizations, and clear documentation while ensuring data quality and governance.

Required Skills

• 10+ years of proven experience as a Data Scientist or Data Analyst.
• 5+ years of experience in Banking or Capital Markets calculations.
• 5+ years of proficiency in SQL for complex data querying and performance optimization.
• 2+ years of hands-on experience with Python (basic coding knowledge).
• Strong foundation in statistics, data analysis, and predictive modeling.
• Experience working with large structured and unstructured datasets.
• Bachelor's degree required.

Preferred Skills

• Strong understanding of financial products, markets, and industry data.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Basic understanding of LLMs and AI tools (e.g., Copilot).

Key Skills

Education

Bachelor's degree