Associate Fraud Strategy Data Scientist

Job Description

Job Description

JOB DESCRIPTION :

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will support projects in fraud detection, risk analysis, and loss mitigation. This role involves analytics, refining risk strategies, and developing predictive algorithms, preferably within the risk domain.

REQUIREMENTS :

• Maximum 2 years of experience in risk analytics, data analysis, or data science in eCommerce, online payments, user trust / risk / fraud, or investigation / product abuse.
• Bachelor’s 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, and Excel (including key data science libraries).
• Proficiency in data visualization tools (Tableau preferred).
• Experience working with large datasets.
• Strong communication skills with the ability to present complex results to technical and non-technical stakeholders.
• Comfortable with ambiguity and able to steer analytics projects toward testable hypotheses and action-oriented outcomes.
• Desirable : experience or aptitude in risk-related problems, AWS, knowledge of fraud investigations, payment rule systems, or working with ML teams.

Key Job Functions

Expected Outcome in 6-12 months

Preferred Skills

NOTES :

MUST HAVE :