
Decision Scientist, Risk
Posted Aug 20

Posted Aug 20
This is a fully remote position, open to applicants in Canada.
β’ Oversee and assess payment risk regulations, thresholds, and strategies for manual reviews.
β’ Examine transaction and customer data to pinpoint factors leading to false positives and avoidable manual assessments.
β’ Create and assess customer and transaction risk categories to enhance decision-making accuracy.
β’ Recognize and suggest modifications to risk rules and thresholds while adhering to established risk and loss guidelines.
β’ Design and assess experiments for new risk features, rules, and decision-making strategies.
β’ Investigate fraud and payment risk trends and convert findings into actionable recommendations.
β’ Evaluate the effects of risk modifications on review rates, losses, customer inconvenience, payment delays, and operational workload.
β’ Develop and maintain ongoing monitoring and reporting systems for risk performance and emerging challenges.
β’ Collaborate with Risk Operations to uncover automation and process improvement opportunities.
β’ Employ AI and automation tools to expedite analysis, monitoring, and experimentation.
β’ 2β3 years of applicable experience in risk analytics, fraud strategy, payment risk, decision science, or a similar quantitative position.
β’ Proficient in SQL, with experience in analyzing extensive transactional datasets.
β’ Strong Python capabilities for analysis, experimentation, automation, and monitoring.
β’ Experience with risk rules, machine learning models, segmentation, fraud indicators, or decision-making strategies.
β’ Solid understanding of false positives, precision/recall, threshold optimization, experimentation, and risk-based decision-making.
β’ Ability to assess trade-offs between customer inconvenience and financial loss within established risk parameters.
β’ Excellent analytical judgment and comfort working with incomplete or imperfect data.
β’ Skill in translating complex analyses into clear, actionable recommendations.
β’ Comfortable working independently on defined issues and collaborating with cross-functional teams.
β’ Accommodation available throughout the recruitment process in accordance with applicable accessibility legislation.
β’ Commitment to an inclusive workplace.
β’ Opportunity to influence recruiting strategy, engage with leaders, experiment with AI-driven methods, and establish sustainable hiring practices.
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