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# Sr. Data Scientist - Payments Risk Management Data Analytics

- **Company:** PayPal
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $130,500.0 - $212,850.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Analytics
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f50461a8e42614a8

## About the Role

* 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * Proven ability to work independently, take ownership of projects, and deliver high-quality results
 * Strong attention to detail and commitment to maintaining high analytical and operational standards
 * Proactive mindset with eagerness to identify opportunities for improvement and innovation
 * Strong problem-solving skills and ability to navigate ambiguity

## Description

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists., * Lead the development and implementation of advanced data science models.

 * Collaborate with stakeholders to understand requirements.
 * Drive best practices in data science.
 * Ensure data quality and integrity in all processes.
 * Mentor and guide junior data scientists.
 * Stay updated with the latest trends in data science., * Proficiency with SQL and Python; hands-on experience with modern BI tools (e.g., Tableau, Power BI)
 * Design and build intuitive dashboards and data visualizations that communicate trends, highlight anomalies, and drive proactive payments risk management
 * Lead the development and maintenance of key risk indicators (KRIs) and performance metrics (KPIs) based on large-scale transactional payments data
 * Conduct advanced analytical deep-dives to identify root causes, quantify risk exposures, and support strategic decision-making
 * Translate complex data patterns into clear, actionable insights for senior leadership and risk committees
 * Lead analytical support for impact assessments, regulatory requests, and scheme-driven initiatives
 * Strong experience analyzing large-scale transactional datasets; payments or fintech experience strongly preferred

Risk Monitoring & Oversight

 * Identify, assess, and monitor payments risks across the end-to-end payments lifecycle, including in-house operations and third-party dependencies
 * Proactively surface emerging payments risks and trends to appropriate risk owners and leadership
 * Partner with first-line teams to track remediation actions, validate risk mitigation effectiveness, and drive closure
 * Support payments risk governance activities, including risk reporting, escalation, and thematic reviews
 * Contribute to the evolution of risk monitoring frameworks and analytical methodologies

Cross-Functional Partnership

 * Collaborate with Product, Engineering, Data, and Risk teams to align analytical priorities and risk management objectives
 * Ensure data accuracy, reporting consistency, and alignment across cross-functional stakeholders
 * Influence risk decisions and control enhancements through data-driven insights and strategic recommendations
 * Mentor junior team members and share best practices in analytics and risk monitoring


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