Data Scientist

Typical Day in Role:

• 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’ Proven experience as a Data Scientist or Analyst, with at least 5+ within Banking or Capital Calculations
• 5+ years’ proficiency in SQL for complex data querying and performance optimization
• 2+ years hands-on experience with Python (basic coding knowledge)
• Experience working with large structured and unstructured datasets
• Solid grounding in statistics, data analysis, and predictive modelling

Nice-To-Have Skills:

• Strong understanding of financial products, markets, and industry data
• Knowledge of regulatory frameworks and reporting
• Familiarity with data visualization tools (e.g., Power BI, Tableau)
• Basic understanding of LLMs, AI tools e.g. CoPilot

Soft Skills Required:

• Analytical thinking and problem-solving
• Strong communication and stakeholder management skills
• Ability to work independently and in cross-functional teams
• Attention to detail with a strong focus on data accuracy and governance
• Ability to explain complex models and results to non-technical audiences