Job Description Insight Global is looking for a Data Analyst to join a top bank in downtown Toronto to support the Market Risk team, part of the Enterprise Risk & Portfolio Management. The Data Analyst will support business-as-usual work, building and maintaining data quality control checks, reconciling data across different platforms, and helping with data issues in daily production. Communication with stakeholders across technology and business teams is essential for success in the role. The team is responsible for ensuring the integrity and reliability of the risk data that supports the Capital Markets' trading activities. As a Market Risk Data Analyst, you'll take a hands-on role in improving how critical market risk data is sourced, validated, and delivered to help ensure that decisions are based on complete, accurate, and well-controlled information. The work is technically challenging and highly relevant: you'll be solving data problems that have a direct impact on how the bank manages trading risk. You'll also work closely with both risk and technology partners, and gain exposure to a wide range of trading products, systems, and processes. It's a strong fit for someone who's analytical, detail-oriented, and interested in how capital markets works. Key Responsibilities • Maintain and enhance risk data quality controls, ensuring completeness, accuracy, and consistency across trading product datasets. • Build and support data pipelines and tools that enable efficient ingestion, validation, and transformation of market risk data. • Investigate and resolve data anomalies by reconciling inputs from source systems (e.g. trading, valuation, reference data) with risk outputs. • Work closely with technology teams, Capital Markets stakeholders, and risk managers to align data definitions, usage, and business rules. • Develop and automate data validation scripts and exception reporting using tools like Python and SQL. • Assist with implementation of strategic data initiatives including data remediation, control enhancements, and documentation standardization. • Support daily and monthly production cycles, ensuring timely delivery of risk metrics and risk reports to internal and regulatory consumers. • Apply working knowledge of trading products (e.g., fixed income, credit derivatives, rates, FX) to contextualize risk data and flag inconsistencies. 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 - 1+ year of relevant experience in data analysis. - Strong proficiency in SQL and Python, with hands-on experience manipulating large financial datasets. - Experience building or maintaining data validation, reconciliation, or control frameworks. - University degree in finance or a related field (i.e., providing knowledge of derivatives, Market Risk, and Capital Markets). - Excellent problem-solving skills and the ability to work independently in a fast-paced, high accountability environment. - Strong communication skills for working with technical teams and business stakeholders. - Banking and/or financial institution experience is a large asset, especially in market risk, risk data management, financial data engineering, and/or Capital Markets operations. - Solid understanding of Capital Markets products and risk measures (Ex/ sensitives, VaR/value at risk, stress results). - Familiarity with market risk data flow and the systems landscape is an asset (Ex/ trading platforms, valuation engines, reference data sources). - Prior experience with reporting tools (PowerBI and Tableau) is an asset.