Description

Analyze large, complex datasets from banking and capital markets domains to extract insights and identify trends

Develop, validate, and deploy statistical models and machine learning solutions to support business initiatives

Collaborate with business stakeholders to translate financial and regulatory requirements into analytical solutions

Support risk, compliance, and regulatory reporting use cases (e.g., stress testing, credit risk)

Perform data exploration, feature engineering, and model performance evaluation

Design and optimize SQL queries for data extraction, transformation, and analysis

Develop analytics workflows and models using Python and related libraries

Communicate insights through dashboards, visualizations, and clear documentation

Ensure data quality, integrity, and compliance with internal governance and regulatory standards

Candidate Requirements

Must-Have Skills

10+ years of proven experience as a Data Scientist or Data Analyst, with at least 5 years 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)

Experience working with large structured and unstructured datasets

Strong foundation in statistics, data analysis, and predictive modeling

Nice-to-Have Skills

Strong understanding of financial products, markets, and industry data

Knowledge of regulatory frameworks and reporting

Familiarity with data visualization tools such as Power BI or Tableau

Basic understanding of LLMs and AI tools (e.g., Copilot)

Soft Skills

Strong analytical thinking and problem-solving abilities

Excellent communication and stakeholder management skills

Ability to work independently and collaborate effectively in cross-functional teams

High attention to detail with a strong focus on data accuracy and governance

Ability to explain complex models and results to non-technical audiences

Education

Bachelor s degree required; experienced candidates prioritized

Best vs. Average Candidate

Best Candidate

Extensive experience in Banking and Capital Markets data analysis

Strong regulatory and risk domain knowledge

Hands-on expertise in SQL and Python applied to real-world financial use cases

Average Candidate

Solid data science fundamentals with some banking exposure

Meets core SQL and Python requirements

Limited regulatory or advanced financial domain experience, Project Code

Key Skills

Education

Bachelor's degree