Senior Manager Fraud Risk

About the role

Fairstone Bank and its family of brands are united in delivering innovative, accessible and reliable financial solutions that enable Canadians to reach their goals. Over the years, our brand family has grown. In 2024, Home Trust Company, Home Bank and Oaken Financial became part of the Fairstone Bank family of brands, alongside Fairstone, Eden Park and Fig. Together, we are the leading alternative lending bank in Canada. We have the collective experience and expertise to better serve our customers and foster our partners' growth. With a diverse suite of products-residential and commercial mortgages, consumer deposits and GICs, credit cards, retail and automobile financing, personal loans and digital lending-we offer financial solutions tailored to all Canadians, including newcomers, small-business owners, smart investors and savvy consumers. Backed by nearly a century of lending experience through its legacy companies, Fairstone Bank and its brand family are proud to be Canada's leading alternative lending bank. Join Fairstone as a Senior Manager, Fraud Risk, and be part of our talented and growing team! The Senior Manager, Fraud Risk will support the Indirect Lending Risk Director, who will jointly own the end-to-end credit cycle for the Indirect Lending portfolios, including: origination strategies and policies; portfolio management and performance monitoring; fraud prevention and management strategies; loss mitigation and policies and execution; and internal and external collection strategies. The Senior Manager, Fraud Risk will be responsible for implementation of credit lending policies and regulatory requirements, oversight of portfolio performance relative to establish risk appetite thresholds, providing advisory services and recommendations to the Product and Marketing teams to optimize credit lending strategies, and full management of risk management systems (implementation, testing, monitoring). The ability to recommend statistically sound champion/challenger test designs will be a core competency for this role. The successful candidate will be expected to challenge existing models and approaches to origination and collection strategies by developing new challenger/benchmark models using a variety of methods, including decision trees, time series regression, and other data science tools. The Senior Manager Fraud Risk will lead of team of high performing analysts and demonstrate ability to independently prioritize tasks, collaborate with internal and external stakeholders, and provide input to strategic planning sessions. The candidate is expected to be able to provide explanations of performance differences or variances to expectations in a consumable format for Senior Leadership and cross-functional project teams. Primary Roles & Responsibilities: 1. Provide credit and fraud risk strategy advisory services in the development of risk strategies to meet business objectives and comply with company policies and regulations. 2. Effectively manage and coach a team of credit risk analysts. 3. Manage risk strategy implementation, testing and monitoring. 4. Liaise and manage relationships with key risk management vendors 5. Coordinate activities with key bank departments such as Operations, Marketing and Finance. 6. Provide support for strategic planning and budgeting exercises. 7. Ensure all key business and regulatory reports are produced in a timely manner. 8. Investigate and propose new solutions / strategies to improve portfolio performance

Requirements

• 5+ years work experience in analytics in a financial services industry, preferably in Risk Analytics setting.
• Bachelor's Degree in quantitative field such as finance, statistics, economics, actuarial sciences, engineering or mathematics.
• Experience working with very large databases, data mining and/or data warehousing.
• Demonstrated ability through course work or on the job experience to understand, utilize and explain predictive modeling and quantitative forecasting tools including regression, decision trees, cluster analysis, neural networks and advanced modeling techniques.
• Experience in programming and a strong aptitude to learn and develop programming and software application expertise. Proven experience in manipulating data using tools like SAS, SQL, R or Python, in order to draw valuable insights from large datasets.
• Expert skill level with Microsoft Excel pivot tables, index match functions, VBA automation, and Microsoft Access or other database management software.
• Demonstrated technical expertise with a good understanding of financial products, of industry-specific Risk and Analytics tools and of the credit risk life cycle.
• Strong communication skills (oral and written) and the ability to interact with all levels of the organization.
• Demonstrated ability to clearly communicate technical analyses to internal and external partners, including managing contacts with other internal

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