The fintech organization's Fraud Risk Strategy team is seeking an Associate Fraud Strategy Data Scientist to apply data science and analytics to solve real-world fraud and risk challenges in eCommerce, online payments, and digital transactions, aiming to enhance user trust, reduce losses, and protect customers.
Requirements
- Strong SQL proficiency for querying and manipulating large datasets.
- Hands-on Python experience with data-science libraries (NumPy, Pandas, Scikit-learn, etc.).
- Proficiency with Excel for exploratory and statistical analysis.
- Demonstrated experience applying statistics and data science to solve complex business problems, preferably related to fraud detection or risk mitigation.
- Experience creating data visualizations and dashboards using Tableau or AWS Quicksight.
- Comfortable working with large-scale datasets in cloud or enterprise environments.
- Familiarity with fraud typologies, payments data, or rule-based detection systems.
Responsibilities
- Analyze and model large, complex datasets to detect, prevent, and mitigate fraud across multiple digital channels.
- Apply statistical and machine-learning techniques (regression, classification, feature engineering, clustering) to identify fraudulent patterns and emerging risks.
- Develop and maintain SQL-based datasets, dashboards, and visualizations to monitor key performance indicators and strategy outcomes.
- Partner with senior data scientists, analysts, and risk strategists to implement and evaluate fraud detection models.
- Communicate analytical findings, insights, and recommendations clearly to technical and business stakeholders.
- Use Tableau or AWS Quicksight to design visual dashboards that support fraud strategy decisions.
- Conduct ad-hoc investigations and reporting to support ongoing fraud prevention initiatives.
Other
- Maximum of 2 years in risk analytics, data analysis, or data science, ideally within eCommerce, online payments, user trust/risk/fraud, or product-abuse investigations.
- Bachelor's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining, or a related quantitative field; or equivalent hands-on experience.
- Excellent written and verbal communication skills with an ability to translate analytics into actionable business insights.
- Hybrid San Jose, CA (local candidates only)
- U.S. Citizens or Authorized Workers Only
