Sr. Data Scientist



51-200 employees

Automated AP and AR platform for SMBs




Required Skills
Data Science
Data Analysis
  • Bachelor's or Master's degree in Data Science, Statistics, or a related.
  • Minimum of 3 years of experience in risk management, fraud strategy, data analysis, or a related field, with a focus on payment processing, including loss, recovery, reconciliations, or financial services.
  • Expertise in post-payment risk strategy management, including handling ACH/EFT resubmits, NACHA or Payments Canada regulations, and card representment.
  • Proficient in data analysis and statistical modeling tools and languages, such as SQL, and Python or similar.
  • Strong analytical and problem-solving skills, with the ability to analyze large datasets and derive actionable insights.
  • Deep understanding of the payment processing ecosystem, including industry trends, regulatory environment, and emerging risks.
  • Design and implement risk strategies and solutions to mitigate fraud risk through statistical analysis, with a strong focus on optimizing end-to-end risk-based decisions, including recovery and collection to minimize payment losses and maximize recoveries.
  • Monitor and evaluate the performance of risk strategy continuously, adjust strategy and models as necessary.
  • Develop, maintain, and enhance feature engineering and based on payment and customer behavior data.
  • Build and maintain a comprehensive data source that serves as the source of truth for all metrics related to payment loss and recoveries, ensuring data integrity and reliability.
  • Build and maintain dashboards and reports to communicate key insights and performance metrics to stakeholders.
  • Collaborate closely with the pre-payment processing risk strategy team to ensure alignment and synergy between pre and post-payment risk management efforts.
  • Analyze large datasets to identify trends, patterns, and insights that can inform risk management strategies and decision-making processes.
  • Design and implement rigorous testing frameworks to evaluate the effectiveness of current strategies and identify areas for improvement.
  • Partner with cross-functional teams to ensure seamless integration of risk solutions and data pipelines.
  • Stay abreast of industry trends, regulatory changes, and emerging threats that could impact post-payment processing strategies and adjust approaches accordingly.
  • Communicate findings, strategies, and recommendations to senior management and stakeholders, providing actionable insights and strategic guidance.

Plooto is a comprehensive AP and AR platform that offers a unified solution for payments, processes, control, reconciliation, and reporting, thereby enhancing cash flow management and saving time for SMBs. Its competitive edge lies in its ability to automate complex workflows, integrate with popular accounting software like QuickBooks and Xero, and facilitate international payments to over 30 countries. Plooto's culture of continuous improvement is evident in its ongoing efforts to expand its AP and AR features, demonstrating its commitment to supporting business growth and financial strategy development.

Company Stage

Series B

Total Funding



Toronto, Canada



Growth & Insights

6 month growth


1 year growth


2 year growth