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← Plooto

Decision Scientist, Risk

Plooto
Location
Remote - Canada
Posted
1 month ago
Department
Risk
What they actually want (must-haves)
  • 2–3 years of relevant experience in risk analytics, fraud strategy, payments risk, decision science, or a related quantitative role
  • Strong SQL skills, including experience analyzing large transactional datasets
  • Strong Python skills for analysis, experimentation, automation, and monitoring
  • Experience working with risk rules, machine learning models, segmentation, fraud signals, or decision strategies
  • Strong understanding of false positives, precision/recall, threshold optimization, experimentation, and risk-based decisioning
  • Ability to evaluate trade-offs between customer friction and financial loss within established risk parameters
What the job really is

The Decision Scientist in Risk will focus on optimizing payment risk decisioning at Plooto by analyzing data and implementing decision-science techniques. Daily tasks include monitoring risk rules, analyzing transaction data, developing risk segments, and recommending changes to improve decision precision while minimizing manual reviews. The role involves collaboration with various teams to translate analytical findings into actionable recommendations that enhance operational efficiency as payment volumes increase.

Things to weigh
  • No specific salary listed
  • Role involves significant collaboration with cross-functional teams, which may require strong interpersonal skills
  • Focus on automation and AI tools suggests a modern approach to risk management, but may also imply a need for adaptability to new technologies
Job score2.6/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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