Data Scientist - SQL, Python, Banking or Capital Markets

Job Title Data Scientist
Duration 12 Months
Work Model Hybrid (3 days per week in office)
Role Overview We are seeking an experienced Data Scientist with strong Banking and Capital Markets domain expertise to support data-driven decision-making initiatives. The role focuses on analyzing complex financial datasets, developing statistical and machine learning models, and supporting risk, compliance, and regulatory use cases. The ideal candidate brings deep analytical skills, strong SQL and Python experience, and the ability to translate business and regulatory requirements into effective analytical solutions.
Typical Day in the 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 of proven experience as a Data Scientist or Data Analyst, with 10+ 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
Candidate Profile 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
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