JJ
Knowledge Graph Engineer at Johnson & Johnson focusing on biomedical data standardization and interoperability solutions. Contributing to healthcare innovation through data - driven technologies and collaborations.
About the role
- Senior Director of Data Science at Worldpay leading the strategy for intelligent transaction routing and pricing optimization. Overseeing a team of data scientists to enhance transaction approval rates and optimize fees.
Responsibilities
- Own the data science roadmap for dynamic routing and interchange optimization across U.S. domestic, cross-border payment flows, and extension of dynamic routing globally.
- Build and deploy ML/AI models that inform routing decisions based on issuer behavior, cost structures, geo/location, network rules and eligibility, and approval likelihood.
- Develop scalable, low-latency algorithms integrated into real-time payment decisioning engines.
- Design and validate experiments to quantify the financial impact of routing and interchange strategies (e.g., A/B tests, multi-armed bandits).
- Model complex cost structures (interchange, scheme fees, FX margins) to recommend optimal routing paths for each transaction.
- Build, lead, and mentor a multidisciplinary team of ~15 data scientists and data analysts.
- Collaborate with Product and Global Network Partnership teams to align optimization strategies with commercial agreements and market coverage.
- Communicate complex analytical concepts to non-technical stakeholders effectively.
Requirements
- Deep experience in payments, fintech, or financial transaction optimization required.
- Deep understanding of global regulatory frameworks that impact transaction routing (e.g. U.S. Durbin Amendment).
- Excellent understanding of global interchange systems, scheme fee structures, and cross-border routing economics.
- Strong applied knowledge of ML/AI, optimization, and decision science techniques.
- Proficiency in Python, SQL, and Spark.
- Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, Engineering, or related field.
- 10 years of experience in data science or analytics, with at least 5 years in a leadership role.
Benefits
- Competitive compensation
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