remoteonsite
Data Scientist Associate - JPMorganChase
Data Scientist
Data Scientist Associate role focused on building predictive models and analytical solutions to detect fraud and financial crime, leveraging Python, SQL, machine learning, and statistical techniques.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models to identify fraudulent transactions and emerging financial‑crime patterns.
- Analyze large, heterogeneous data sets using Python, SQL, and statistical methods to uncover risk insights.
- Collaborate with fraud strategy, engineering, and business teams to translate analytical findings into actionable controls and product improvements.
- Create clear visualizations and dashboards that communicate model performance and risk metrics to stakeholders.
- Monitor model drift, perform root‑cause analysis, and continuously refine algorithms to maintain high detection accuracy.
Requirements
- Strong proficiency in Python (pandas, scikit‑learn, PySpark) and SQL for data extraction and manipulation.
- Hands‑on experience building and validating machine‑learning models for fraud detection or related risk domains.
- Solid foundation in statistical modeling, hypothesis testing, and experimental design.
- Ability to translate complex analytical results into clear visualizations and business recommendations.
- Excellent problem‑solving mindset, curiosity, and ability to work in a fast‑paced, collaborative environment.
Skills
pythonsqlmachine learning