Associate Data Scientist (Fraud Strategy)

Associate Data Scientist (Fraud Strategy)

Job Type : Contract

Contract Length : 1 year

Target Start Date : ASAP

Work Location / Structure : San Jose, CA (Hybrid)

About the Opportunity

Our client, a leader in financial automation software, is looking for a talented, enthusiastic, and dedicated Associate Data Scientist to support their Fraud Risk Strategy team. This role is responsible for supporting key projects associated with fraud detection, risk analysis, and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables

• Design rules to detect / mitigate fraud.
• Develop Python scripts and models that support fraud strategies.
• Investigate novel / large fraud cases and identify root causes.
• Set strategy for different risk types.
• Work with product / engineering to improve control capabilities.
• Develop and present strategies and guide execution.
• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that solve emerging fraud trends and provide a great experience to end customers.
• Utilize data analysis to design and implement fraud strategies.
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
• Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
• Develop dashboards and visualizations to track KPI of fraud strategies implemented.

Required Skills & Experience

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