Decision Scientist, Risk

Job not on LinkedIn

🕒 August 20

🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🎲 Risk

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Plooto

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

💸 Finance

☁️ SaaS

💰 Series B on 2022-12

Fintech • Finance • SaaS

Plooto is an all-in-one accounts payable and receivable software solution that empowers businesses with comprehensive cash management capabilities. By automating manual payment and accounting processes, Plooto allows businesses to focus on strategic growth and streamline their financial operations. The platform supports a variety of payment methods, including checks, credit cards, and international transfers, while ensuring high-security standards with encryption. Plooto integrates seamlessly with popular accounting software like QuickBooks, Xero, and NetSuite, offering features such as customizable workflows, automated reconciliation, and multiple user access. Designed to support over 10,000 businesses, Plooto is tailored for accountants, finance teams, and diverse industries to improve efficiency, reduce errors, and enhance financial visibility.

📋 Description

• Monitor and analyze payment risk rules, thresholds, and manual-review strategies • Analyze transaction and customer data to identify drivers of false positives and unnecessary manual reviews • Develop and evaluate customer and transaction risk segments to improve decision precision • Identify and recommend changes to risk rules and thresholds within established risk and loss parameters • Design and evaluate experiments for new risk features, rules, and decision strategies • Investigate fraud and payment-risk patterns and translate findings into practical recommendations • Measure the impact of risk changes across review rates, losses, customer friction, payment delays, and operational workload • Build and maintain recurring monitoring and reporting for risk performance and emerging issues • Partner with Risk Operations to identify automation and process-improvement opportunities • Use AI and automation tools to accelerate analysis, monitoring, and experimentation

🎯 Requirements

• 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 • Strong analytical judgment and comfort working with imperfect or incomplete data • Ability to translate complex analysis into clear, practical recommendations • Comfortable working independently on defined problems and collaborating with cross-functional partners

🏖️ Benefits

• Accommodation available throughout the recruitment process in accordance with applicable accessibility legislation • Inclusive workplace commitment • Opportunity to shape recruiting strategy, influence leaders, experiment with AI-native ways of working, and build lasting hiring practices