Data Analyst

The Data Analyst will work side-by-side with Risk Management to translate business requirements into reliable, well-documented analytics that drive real-world decisions. This hands-on role offers broad exposure across asset classes, risk methodologies, and the full data lifecycle-from source systems to the dashboards risk managers rely on-while evaluating and integrating emerging technologies., * Partner with Risk Management to gather, refine, and document requirements.

• Build and enhance risk processes, including data analysis, asset valuation, and custom risk measure calculations.
• Design and deliver dashboards and visualizations for technical and non-technical audiences.
• Write clear documentation for internal stakeholders, regulators, and auditors.
• Follow industry-standard source control, code review, testing, and deployment practices.
• Leverage AI-assisted coding tools to accelerate development while ensuring accuracy.
• Evaluate emerging technologies and recommend integration into Risk Technology applications.
• Develop and maintain ETL pipelines and data models supporting risk analytics.
• Ensure data quality and integrity across source systems to dashboards.
• Collaborate with front-office and technology teams to implement risk solutions.

• 2+ years of professional experience in financial services or data analytics.
• Proficiency with AI-assisted coding tools and platforms.
• Strong SQL skills (MS SQL Server, Sybase, Oracle).
• Python and/or R programming with statistical and machine-learning knowledge.
• Experience with DevOps tools (Git, Jira).
• Excellent written and verbal communication, able to explain quantitative results to non-technical stakeholders.
• Knowledge of credit and market risk concepts.
• Familiarity with MSCI RiskMetrics or similar risk analytics platforms.
• Experience with ETL tools such as Pentaho/Hitachi Vantara.
• Experience with structured data formats (JSON, XML) and RESTful services.