Fraud Strategy Data Scientist

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Job Title:

Fraud Strategy Data Scientist

Job Location:

San Jose, CA

Onsite Requirements:

• Python/SQL
• Financial Fraud Risk
• Payment's experience

Job Description:

• 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:

• Minimum 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.
• Bachelor's degree in computer science, Engineering, 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, i.e. Tableau.
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.
• Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
• Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
• Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies.

Key Job Functions:

• Design rules to detect/mitigate fraud.
• Develop python scripts and models that support strategies.
• Investigate novel/large cases.
• Identify root cause.
• Set strategy for different risk types.
• Work with product/engineering to improve control capabilities.
• Develop and present strategies and guide execution.

Expected Outcome in 6-12 months:

• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also 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.
• Development of dashboard and visualizations to track KPI of fraud strategies implemented.

Preferred Skills:

• Data analytics and models
• Rule development
• Dashboard Creation
• Project Management
• Strong Communication

This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.