Risk Analytics Manager

We are currently seeking a Risk Analytics Managerto join our team.

The Risk Analytics Manager supports enterprise risk management through quantitative analysis, portfolio monitoring, and the development of reliable management information. The role is responsible for identifying emerging risk trends, maintaining analytical datasets and reporting, supporting risk methodologies and measurement processes, and translating complex results into decision-ready insights. Working closely with Credit Risk Management, Finance, Treasury, Technology, Data, and business stakeholders, the Risk Analytics Manager helps strengthen proactive portfolio management, data quality, analytical controls, and risk governance.

Here’s what would be included as a part of your typical day

• Portfolio Risk Analytics: Conducts quantitative analysis of credit and portfolio risk to identify emerging trends, concentrations, vulnerabilities, and opportunities for proactive risk management.
• Risk Reporting & Dashboards: Develops, enhances, and maintains recurring risk analytics, management information, dashboards, and reporting for Credit Risk, Finance, Enterprise Risk, senior management, and risk committees.
• Data Management & Quality: Builds and maintains reliable analytical datasets by sourcing, reconciling, validating, and documenting data from multiple systems; investigates data-quality issues and work with business and technology partners to resolve them.
• Process Automation: Automates analytical processes and transition manual spreadsheet-based reporting toward controlled, repeatable, and centralized solutions using appropriate data, visualization, and programming tools.
• Methodology & Control Documentation: Prepares clear documentation of data sources, assumptions, methodologies, controls, limitations, and results to support transparency, reproducibility, governance, audit, and regulatory review.
• ICAAP & Capital Risk Analytics: Supports the Internal Capital Adequacy Assessment Process (ICAAP) by developing and maintaining risk analytics, stress testing, scenario analysis, capital adequacy assessments, and risk appetite monitoring. Evaluates capital requirements under base and stressed conditions, and prepares analysis and documentation for senior management, risk committees, and regulatory review.
• Credit Risk Modelling & Model Performance Monitoring: Develops, validates, enhances, and monitors credit risk models, including probability of default (PD), loss given default (LGD), exposure at default (EAD), risk rating, and portfolio forecasting models. Performs model performance analysis, back-testing, sensitivity analysis, and ongoing monitoring to ensure models remain accurate, reliable, and aligned with regulatory and governance requirements.

Required Skills, Experience & Qualifications

• Bachelor’s degree in a quantitative discipline required; Master’s degree preferred. Preferably with demonstrated hands-on experience applying data science, statistical modelling, or quantitative analysis through professional work, academic research, a thesis or capstone project, internship, or co-op placement.
• Minimum 4-5 years of relevant professional experience is required or an equivalent combination of education and experience.
• Professional designation or progress toward a relevant designation, such as CFA, FRM, CPA, or equivalent, preferred.
• Apply critical thinking, analytical skills and sound professional judgment
• Demonstrated accountability and a result-oriented approach
• Ability to collaborate and build strong working relationships
• Strong attention to detail and commitment to quality accuracy
• Advanced quantitative analysis, data interpretation, and problem-solving skills, with the ability to convert complex results into practical risk insights.
• Advanced proficiency in programming languages such as Python or R.
• Working knowledge of statistical modelling, model performance monitoring, data validation, and analytical controls.
• Strong technical writing, documentation, presentation, and stakeholder communication skills.
• Ability to manage multiple recurring and project-based deliverables, work independently, and meet deadlines in a controlled environment.
• Overnight travel may be occasionally required, up to 6 times per year
• Displays an understanding of risk and risk ownership by being able to demonstrate adherence to policies and procedures.