Job Title: Data Professional
Location: Onsite San Jose CA
Salary Range: $50 w2.... w2 only
Introduction
We are seeking a talented and dedicated Data Professional to support the Fraud Risk Strategy team. This role focuses on fraud detection, risk analysis, and loss mitigation by leveraging advanced analytics, predictive modeling, and visualization tools. The ideal candidate combines strong technical skills with business acumen to deliver actionable insights and strategies that protect both the company and its customers.
Required Skills & Qualifications
Maximum 2 years of experience in risk analytics, data analysis, or data science
Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field (or equivalent experience)
Proficiency in SQL, Python, and Excel (including key data science libraries)
Experience with data visualization using Tableau and/or AWS QuickSight
Ability to analyze large datasets to drive actionable insights
Strong knowledge of statistics and data science applications for business problems
Clear communication skills, including the ability to present complex findings to both technical and business audiences
Comfortable managing ambiguity while driving toward business outcomes
Preferred Skills & Qualifications
Experience with data models and rule development
Knowledge of project management practices
Familiarity with fraud investigations, fraud typologies, and payment rule systems
Experience collaborating with machine learning teams
Day-to-Day Responsibilities
Design and implement fraud detection and mitigation rules
Develop Python scripts and predictive models to support fraud strategies
Investigate fraud cases, perform root cause analysis, and recommend solutions
Set and refine risk strategies for various fraud types
Partner with product and engineering teams to improve fraud control capabilities
Build and present dashboards and visualizations to track fraud KPIs
Provide actionable recommendations to stakeholders at multiple levels
Expected Outcomes (6–12 Months)
Collaborate with stakeholders to design and manage fraud strategies and rules addressing emerging fraud trends
Utilize analytics to create real-time, scalable fraud solutions that balance risk mitigation with customer experience
Deliver business recommendations through effective presentations and reporting to leadership and cross-functional teams
Develop dashboards and visualization tools to track key performance indicators (KPIs) for fraud strategies
Benefits & Culture
We are committed to building a collaborative, innovative environment where data-driven decisions and fraud prevention strategies create measurable impact.
#TECH #Onsite
