Quantitative Analyst, Insurance Analytics

2 weeks ago

Ottawa, Canada EDC Full time

**Quantitative Analyst, Insurance Analytics** - 000475

**Posting Date**: Mar 8, 2023, 3:37:55 PM

**Primary Location**: Ontario-Ottawa

**Job Type**: Permanent

**Schedule**: Full-time

Export Development Canada (EDC) is a financial Crown corporation dedicated to helping Canadian businesses make an impact at home and abroad. EDC offers financial products and knowledge to help Canadian businesses confidently enter new markets, reduce financial risk, and grow their business.

When you join our team, you’ll be helping Canadian businesses learn the endless possibilities that open to them through export and help bring their vision, passion, and innovation to the world. Your knowledge and expertise will support more than 25,000 Canadian businesses and their customers in as many as 200 markets worldwide. You’ll work amongst the best and brightest in an inclusive, collaborative environment that fosters professional development and success. And you’ll know that you’re making an impact every day - for businesses, for Canada and for the people you work with.

Are you ready to make an impact? Join EDC, recognized as a Top 100 and Top Family-Friendly Employer, as we take on the risk so Canadian businesses can take on the world. #LI-Hybrid

**Team & Job Overview**

The Insurance Analytics team is responsible for providing a variety of analytics across the Insurance and Working Capital Solutions products as part of the Small Business and Partnerships Group. They are responsible for supporting the performance and integrity of all products of the Group through analytics in support of informed decision making. Their responsibilities include the development and maintenance of credit and pricing models, advancing business & predictive analytics and forecasting. These activities are undertaken with a view to providing market-driven insurance & working capital solutions to meet the needs of the Canadian trade community and our 2030 Strategy.

**Key Responsibilities**
- Support the development, monitoring and updating of credit and pricing models and tools for the purposes of risk management and credit granting decision-making.
- Mine data and collect and manipulate large and complex (incomplete) data files.
- Support and develop underwriting and risk management capabilities for the underwriting and management of insurance and guarantee solutions.
- Create scoring, rating, and decision models for transactional and portfolio management teams to use for streamlining, automating, and standardizing credit granting decision-making.
- Develop, review, implement, and monitor credit and portfolio risk warning systems, standards and procedures to proactively identify, control and assess credit risk.
- Develop and document standards and processes related to the development, methodology selection, testing, validation, calibration and usage of models and tools.
- Support the development and monitoring of key performance indicators of pricing/automation strategies.
- Responsible for establishing, maintaining, and monitoring principles, processes and standards for credit granting and surveillance.
- Research, reviews, and implements best practices in risk rating and pricing to support team and corporate goals.
- Proactively identifies opportunities to make continuous improvements to models, guidelines and processes.
- Contributes to and/or presents business cases to management and/or senior management identifying portfolio risks and recommending tactics to support the generation of efficiencies in systems and processes derived from automation.
- Supports the development of a next-gen predictive analytics strategy, implementation, and monitoring functions.
- Engages in stakeholder consultation, management, and training.

**Screening Criteria**
- Undergraduate Degree in Computer Science, Statistics, Mathematics, Business Administration, Finance, or relevant discipline
- Minimum 5 years’ experience in data modelling, quantitative analysis and modeling skills, credit risk management or related experience
- Advanced programming experience in the management and manipulation of large and complex data files (MS-Excel, R, VBA, SAS EG/SAS Viya, SQL, Python, etc.)
- Analytics related skills (data sourcing, data management, data manipulation, text analytics, modelling and interpretation)
- Advanced knowledge of credit risk management, accounting, insurance, banking and/or finance principles and practices
- Advanced knowledge of statistical analysis, data mining and predictive modelling
- Team player, with strong interpersonal, problem solving and communication skills
- Demonstrated ability to adapt to changing priorities

**Assets**
- Experience communicating with and influencing decisions at a senior management level.
- Knowledge of Enterprise Risk Management framework
- Knowledge of model validation and documentation frameworks
- Experience with or knowledge of insurance data (claims), statistical analysis, Internal Rating-Based models (PD, L

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