E-Payments Risk Data Scientist (Machine Learning)
At a glance
AI generatedTL;DR
As a E-Payments Risk Data Scientist (Machine Learning) at Fiserv, you will join the risk and fraud prevention team as a mid-level professional, focusing on developing and optimizing models that protect clients from electronic payment fraud. Your daily tasks include analyzing data to identify new fraud trends, designing and implementing machine learning and rule-based strategies to enhance detection accuracy while minimizing false positives, and collaborating with cross-functional teams to integrate advanced analytics into new products. You will work extensively with Python (Pandas, scikit-learn, TensorFlow), SQL, and potentially big data platforms like Spark or Databricks in a fast-paced environment that values innovation and client trust. This role requires a strong background in predictive modeling within financial services, fintech, or related industries, along with the ability to communicate complex analytical insights effectively to non-technical stakeholders.
Skills
What you'll do
- Analyze fraud patterns and trends in electronic payments to identify emerging threats.
- Design and implement new fraud models and strategies to improve detection accuracy.
- Develop and optimize risk models for various products and channels, ensuring scalability.
- Execute the full modeling lifecycle from data collection to production deployment.
- Present analytical findings and model performance to internal stakeholders and clients.
What we're looking for
- 2+ years of experience in risk, fraud, or credit domains with tools like Python and SQL.
- Experience developing and deploying predictive models within financial services or related industries.
- Proficiency in the full modeling lifecycle including data collection, feature engineering, model validation, and deployment.
- Ability to explain statistical concepts to non-technical stakeholders through clear visualizations and presentations.
- Production-quality Python coding skills for data preparation, model estimation, result summarization, and code delivery.
- Experience using SQL for automated data collection and model input pipelines.
Employer
About Fiserv
Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments
Fiserv currently has 70 open roles on FindRole.
Listed pay typically runs $110,000–$186,000 across 47 roles with salary data.
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