Data Scientist

Key Skills: External Fraud, Analytics, Data Science

Roles and Responsibilities:

• Design, develop, and deploy end-to-end machine learning and data science models for fraud detection and financial crime mitigation.
• Collaborate with Financial Crime stakeholders to define use cases and identify high-impact opportunities.
• Automate and optimize fraud detection processes through data-driven solutions.
• Analyze structured and unstructured data to develop insightful features and predictive models.
• Present actionable insights and recommendations to both technical and non-technical stakeholders.
• Ensure high-quality documentation, model validation, and compliance with internal governance standards.
• Contribute to continuous improvement of analytics frameworks and tools.
• Stay updated on emerging trends and technologies in fraud detection and financial crime analytics.

Skills Required:

• Proven experience building and deploying machine learning models in a production/business environment.
• Strong analytical mindset and attention to detail with a proactive problem-solving approach.
• Solid foundation in statistical modeling and applied mathematics.
• Excellent communication and collaboration skills across cross-functional teams.
• Ability to effectively explain complex data concepts to non-technical audiences.
• Strong project management and task ownership skills.

Technical Skills (Minimum Requirements):

• Languages & Tools: SQL (Oracle, Redshift, AWS Glue), Python, Spark, EMR, R/SAS
• Version Control: Git, GitHub
• Visualization Tools: Superset, Power BI, Tableau
• Cloud Platforms: AWS (preferred), Databricks, Azure, GCP
• Experience with data sourcing, cleansing, ETL processes, and large-scale data engineering pipelines

Experience Requirements:

• 10+ years of experience in advanced analytics or data science roles
• Demonstrated experience in the fraud or financial crime analytics domain
• Experience working with complex datasets (structured and unstructured)
• Ability to derive business value from analytical solutions
• Track record of delivering insights and solutions that influence key business decisions

Education:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field