Fairstone is Canada’s leading non-bank provider of responsible lending solutions. With roots in Canada since 1923 and over 200 branches coast to coast, Fairstone provides personal loans and home equity loans designed to suit today’s borrowing needs. Fairstone also partners with a wide network of businesses to deliver flexible consumer financing programs. Fairstone is proud to make a difference in the communities where we live and work, because community matters. Please visit our website: https://www.fairstonecanada.ca/home
Responsibilities include developing and testing Market Response and/or Credit Risk Models to support risk management and business initiatives for $2.5Bn consumer loan portfolios across the development life cycle (design through implementation). Other responsibilities will include, ensuring data quality and generating specifications to be used in model building, monitoring performance of models and analytical projects and providing solutions in a proactive manner.
The candidate must have experience with market response/UCR models or risk scorecard development and a thorough understanding of exploratory data analysis, machine learning, classical regression, and data mining techniques. In addition, this position will be responsible for consulting internally with marketing and portfolio teams related to the usage of decision tools, communicating results to diverse audiences, participating on teams to solve business problems, identifying modeling opportunities that yield measurable business results.
▪Master’s degree preferred, Bachelor's degree accepted: in quantitative field such as statistics, economics, engineering or mathematics.
▪Experience working with very large databases, data mining and/or data warehousing
▪3 - 5 years of experience building and implementing predictive models (Risk or Market Response) within a Financial Services Organization with focus on retail lending, including good understanding of Credit Bureau data and keen interest in exploring alternative data.
▪Good working knowledge of SAS, R or other computing languages used for statistical analysis with documentation capability.
▪2+ years of data mining experience using decision trees, machine learning, regressions, clustering etc.
▪2+ years’ hands-on experience in financial services or comparable industry analyzing, testing and implementing complex mathematical models.
▪Competent skill level with Microsoft Excel and Microsoft Access
Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.
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▪Attention to detail and a good understanding of the importance of data integrity in building predictive models such as scorecards or market response/UCR models
▪Ability to work independently, with guidance and supervision, in building models
▪Ability to perform deep dive into data to solve problems, to support team in development of credit risk solutions
▪Ability to support senior team members with implementation of policy and strategy changes and to accomplish company initiatives.
▪Strong problem solving/analytical skills with ability to support senior teams in implementing solutions.
▪Ability to extract, manipulate and analyze data to create and monitor predictive models (market response/UCR, scoring etc.). Ability to mine data to create reports and track performance based on observations of key business indicators and trends.
▪Demonstrates aptitude to develop technical expertise in industry-specific Risk and able to produce reports/analysis for tracking performance and trends used for setting business direction and for portfolio policy changes.
▪Familiar with industry standard analytic tools required to build predictive market response and/or credit risk models.
▪Good communication skills with the ability to explain technical concepts to a diverse audience in business terms. Demonstrate good communication skills required to interact with internal and external partners, including managing contacts with other internal business units (i.e. IT, compliance, marketing etc.) as required.
▪Be able to contribute to the development and maintenance of governance documentation for processes and procedures.
▪Keep informed of industry and regulatory trends, and the consequent impact on business. Provide recommendations to stay abreast of industry changes.