Associate Fraud Strategy Data Scientist

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 18 days ago

Vacancies: 1 Vacancy

Job Summary

Role:Associate Fraud Strategy Data Scientist

Location:San Jose California 95002 - Hybrid - Locals preferred

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 at . This position requires a person who has experience with performing analytics refining risk strategies and developing predictive algorithms preferably in the risk domain.

Wed love to chat if you have:

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
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 improvement 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

Role:Associate Fraud Strategy Data Scientist Location:San Jose California 95002 - Hybrid - Locals preferred 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 a...