Job Description Insight Global is looking for detail-oriented and technically skilled Senior Analyst to join the Market Risk group at a top bank in downtown Toronto for a 12-month contract. The role focuses on data validation, anomaly detection, and triage within market risk systems. The ideal candidate will have a strong quantitative background, advanced Python skills, and proficiency in SQL, with at least one year of relevant experience. Key Responsibilities: • Validate daily market risk data to ensure accuracy and consistency. • Investigate and triage data anomalies, identifying root causes and proposing solutions. • Develop Python scripts for automated data checks and anomaly detection. • Use SQL to query, analyze, and validate large datasets efficiently. • Collaborate with internal teams to resolve data issues and improve data quality processes. • Document findings and maintain clear records of investigations and resolutions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Statistics, Finance, Computer Science). • Minimum 1 year of experience in a data-focused or analytical role. • Advanced Python programming skills (e.g., pandas, NumPy). • Proficient in SQL for data extraction and analysis. • Strong problem-solving skills and ability to work independently. • Excellent attention to detail and communication skills. • Experience in financial services or risk management is an asset. • Experience is Capital Markets is an asset. • Familiarity with market risk concepts and data governance practices. • FRM (financial risk management certification) is an asset.