NOTE : HYBRID work model, office located in Toronto 8 : 00 a.m. – 4 : 00p.m.
Type : 1-Year Contract
Work Experience : 5+ years in Investment Risk, Power BI / Tableau, SQL, Python, P&L Attribution, VaR, ETL, Market Risk, Liquidity Risk, Counterparty Credit Risk, Asset Classes (public / private), Governance Reporting, CFA, FRM, Snowflake,
Industry : Capital Markets, Investment Management, Investments
DESCRIPTION :
We are looking for a Capital Market Risk Analyst to join our team in a hands-on, results-driven role. You will be involved in the ongoing analysis of investment risks, with a specific focus on overall portfolio exposure, market fluctuations , and key risk metrics across various asset types. This position will require you to leverage your technical expertise in tools like Power BI / Tableau, and SQL to generate actionable insights from large datasets. Additionally, you will contribute to the enhancement and automation of risk reporting tools using Python to streamline workflows and reduce operational risk. You will collaborate closely with internal teams, including investment, finance, and risk management, to improve existing systems and align reporting with evolving business needs.
Who you’ll work with :
In this role, you will collaborate with a diverse group of professionals across several teams to drive risk management and reporting initiatives. You will work closely with : Investment Teams : Partnering with portfolio managers and traders to understand the risk exposure and performance of various asset classes.
- Risk Management Division : Collaborating with risk analysts and managers to align reporting processes with the latest risk frameworks and regulatory requirements.
- Finance Department : Working with financial analysts to ensure that risk and performance metrics are integrated with broader financial reporting.
- Technology and Data Teams : Coordinating with developers and data engineers to enhance and automate the risk reporting systems, utilizing tools like Power BI, SQL, and Python.
- External Partners and Vendors : Engaging with external stakeholders, including vendors and consultants, to implement best practices and ensure the seamless integration of new tools and systems.
What you’ll do :
Perform daily assessments of portfolio risk across multiple asset classes, identifying key exposures and variances that impact overall fund performance.Enhance and optimize data visualization tools (Power BI, Tableau) to present clear, actionable insights regarding fund performance and risk dynamics.Automate processes for calculating and reporting PnL , risk factors , and exposure metrics using Python and SQL , ensuring high efficiency and accuracy.Investigate and resolve issues impacting the functionality of risk reports, troubleshooting data discrepancies and proposing corrective actions.Provide detailed analysis and commentary on monthly variances , articulating the underlying causes of shifts in risk and exposure levels.Support the development and maintenance of documentation related to risk analysis processes, ensuring consistency and compliance with internal standards.Work cross-functionally to implement system improvements, including new risk models and reporting features, and manage project timelines to ensure timely delivery.Liaise with internal governance bodies to provide the necessary risk and exposure data to meet regulatory and compliance requirements.Requirements :
University degree or equivalent experience in a relevant field (e.g ., Finance, Mathematics, Risk Management, Data Science ).5+ years of experience in investment risk analysis, portfolio management, or financial analytics.Strong knowledge of various asset classes, including equities, fixed income, derivatives, and alternative investments.In-depth understanding of risk types including market risk, liquidity risk, and counterparty risk.Proficient with Power BI : Experience in building risk reports and data visualizations.Experience with SQL : Ability to write queries for extracting and manipulating large datasets.Python or VBA : Strong coding skills to support automation and data analysis.Familiarity with risk reporting systems and frameworks (e.g., Value at Risk ( VaR ), exposure measurement, and performance attribution ).Experience working with Snowflake (cloud data warehousing) and Tableau (data visualization) is an asset.Strong Microsoft Excel skills, particularly in Power Pivot , for data analysis.Knowledge of ETL tools for managing data and extracting information.Experience with data warehousing and data management in a financial context.Ability to work independently and in a collaborative environment , managing multiple priorities and deadlines effectively.Strong communication skills , with the ability to present complex risk data to non-technical stakeholders.Ability to troubleshoot complex issues in reporting and data processing, identifying root causes, and recommending solutions.Familiarity with industry-standard risk management frameworks , and ability to apply these concepts to financial risk reporting.