Cypress HCM · 4 months ago
Associate Fraud Strategy Data Scientist
Cypress HCM is a growing global company in the cloud-based software industry, seeking a talented and dedicated individual to support their Fraud Risk Strategy team. The role involves supporting key projects associated with fraud detection, risk analysis, and loss mitigation through analytics and predictive algorithms.
Human ResourcesInformation TechnologyStaffing Agency
Responsibilities
Design rules to detect/mitigate fraud
Develop Python scripts and models that support strategies
Investigate novel/large cases and identify root cause
Set strategy for different risk types
Work with product/engineering to improvement control capabilities and develop and present strategies and guide execution
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
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
Qualification
Required
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
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, 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
Preferred
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