Senior data analyst leading race and social - identity data strategy for Ottawa Police Service. Producing equity analyses, dashboards, and insights to improve policing and community safety.
LP
Model Sr Analyst, Model Risk, Enterprise Risk Management
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Senior Analyst role in Enterprise Risk Management responsible for independent testing and validation of risk models, risk assessment, and strengthening model governance frameworks at a bank.
Responsibilities
- The Senior Analyst, Enterprise Risk Management plays a key role in ensuring the robustness, reliability, and appropriate use of risk models and related model risk governance processes across the Bank, including compliance with regulatory expectations. This position is responsible for performing independent testing and challenge of all models, oversight of model lifecycle processes, supporting the development and enhancement of risk assessment methodologies, and working collaboratively with business and risk partners to strengthen the Bank’s enterprise risk management and model governance frameworks.
Requirements
- Education: Bachelor’s degree in finance, Economics, Statistics, Mathematics, or a related discipline. A master’s degree and/or a relevant professional designation (e.g., CFA, FRM) is preferred. Experience: Minimum of 5 years of experience in risk management within the banking or broader financial services industry, with demonstrated experience in risk model testing and validation and strong knowledge of regulatory guidelines. Experience with credit, capital, stress testing, and/or ML models is an asset. Technical Skills: Proficiency in statistical and analytical software (e.g., SAS, R, Python), along with advanced Microsoft Excel skills. Familiarity with database management systems and query languages (e.g., SQL) is considered an asset. Analytical Skills: Strong analytical and critical thinking skills, with the ability to interpret complex data, identify key risk insights, and support informed decision-making. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and effectively present analysis and findings to both technical and non-technical audiences, including senior leadership and governance committees. Attention to Detail: High level of accuracy and attention to detail in all aspects of analysis, documentation, and reporting. Regulatory Knowledge: Understanding of relevant regulatory requirements and supervisory expectations related to risk management within the banking sector (e.g., OSFI guidelines).
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