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Data Scientist (Payments Risk Analytics)

2 hours, 47 minutes ago
United States
Full-time
Mid Level
Data Scientist
Data Science and Analytics
E-commerce Machine Learning Pandas Python SQL
Apply Now
Nuvei

Nuvei

Nuvei is a leading payment technology partner offering cutting-edge payment options, revenue optimization, and comprehensive payment services to accelerate businesses globally. With a modular and scalable platform, Nuvei enables companies to accept nex...

Diversified Financial Services
1K-5K
Founded 2003
View All Jobs 8

Description

  • Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses.
  • Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals.
  • Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time.
  • Define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates.
  • Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets.
  • Develop repeatable analytical workflows and lightweight Python tooling to speed up insight generation and reduce manual analysis.
  • Perform ad hoc analyses to assess the value of new or existing data signals for risk decisioning.
  • Design analyses and reporting to support risk reviews, strategy discussions, and portfolio-level monitoring.
  • Explore and apply established and emerging analytical techniques to improve insight generation and decision support.
  • Partner with Risk, Product, and Relationship Management teams to refine strategy and prioritization.
  • Communicate trends, findings, and recommendations to internal stakeholders and external clients when needed.
  • Work with large, imperfect, regulated datasets and draw actionable conclusions despite data gaps, latency, or attribution challenges.

Requirements

  • 3+ years of experience in payments risk, fraud analytics, or decisioning performance analysis within fintech, payments, or e-commerce.
  • Experience working with ACH or bank transfer payment data is strongly preferred.
  • Strong SQL skills and experience working with large transactional datasets.
  • Strong Python skills for data analysis, experimentation, and analytical automation, including pandas and notebooks.
  • Experience managing and analyzing data related to risk-based decision systems or similar decisioning frameworks.
  • Ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences.
  • Comfort operating in ambiguous environments with incomplete, delayed, or imperfect data.
  • Experience using AI-assisted tools or models for data analysis, pattern discovery, or insight generation is a plus.
  • Strong written and spoken English communication skills.
  • The recruitment process may use automated tools, including AI, to support application management and candidate shortlisting.

Interested in this position?

Apply directly on the company website

Apply Now

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