Associate Fraud Strategy Data Scientist

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be 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.

Requirements

• Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
• Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• Experience using statistics and data science to solve complex business problems
• Proficiency in SQL, Python, Excel including key data science libraries
• Proficiency in data visualization including Tableau
• Experience working with large datasets
• Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes

Benefits

• Contract to cover multiple leaves over a 1 yr. period.
• Potential to extend based on business need and performance.