Worldpay-posted 3 months ago
5,001-10,000 employees

Join our Payment Strategic Routing team to design and deliver data-driven products that optimize transaction routing, boost performance, and reduce fraud at global scale. You’ll combine deep statistical and machine-learning expertise with strong business insight to create the next generation of payment-intelligence solutions on modern cloud platforms. This role will work in a hybrid environment at our HQ located in Mason, OH. The expectation will be to be onsite 2-3 days per week. Please note: This is not a role we will sponsor or transfer sponsorship now or in the future.

  • Build, validate, and deploy ML models and statistical models that drive smarter debit-routing decisions and real-time transaction optimization.
  • Develop automated, end-to-end pipelines for data ingestion, feature engineering, and model deployment using Databricks, Snowflake, Apache Spark, and other big-data frameworks.
  • Perform exploratory analysis on large structured & unstructured datasets; present findings through dashboards and interactive visualizations for both technical and non-technical stakeholders.
  • Design and evaluate A/B tests to measure uplift, optimize routing tables, and inform product strategy.
  • Audit existing analytical workflows and introduce AI-powered automation to improve efficiency, accuracy, and scalability.
  • Translate business challenges into technical solutions, working closely with product, engineering, risk, and compliance teams.
  • Ensure data quality, security, and regulatory compliance; document models and establish monitoring to track performance over time.
  • Balance sophistication with practicality, choosing the right level of complexity to meet performance, latency, and cost goals.
  • Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience.
  • 5+ years of industry experience in data science, ML, or quantitative analytics, ideally within payments, fintech, or high-volume transaction environments.
  • Proficient in Python (preferred), R, SQL, and at least one JVM language (Scala/Java) for Spark.
  • Expertise with ML / data-science libraries (scikit-learn, PySpark ML, TensorFlow, etc.).
  • Hands-on experience with cloud data platforms (AWS, GCP, or Azure), Databricks, and Snowflake.
  • Strong grasp of data modeling, ETL/ELT pipelines, and distributed-computing frameworks (Spark, Hadoop).
  • Version control & DevOps fundamentals (Git, CI/CD).
  • Knowledge of A/B testing, experiment design, and optimization techniques preferred.
  • Skilled in Tableau, Power BI, Matplotlib, or R Shiny; able to distill complex analyses into clear, actionable insights for diverse audiences.
  • Experienced Payments Domain Knowledge, understanding of debit routing, interchange, fraud mitigation, data encryption, and relevant regulatory requirements.
  • Demonstrated ability to partner with cross-functional teams, manage competing priorities, and deliver high-impact solutions in a fast-moving environment.
  • A competitive salary and benefits
  • A variety of career development tools, resources and opportunities
  • The chance to work on some of the most challenging, relevant issues in the payments world
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