Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.
Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail, sports, entertainment and logistics, helping them build robust data analytics and AI capabilities.
With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.
Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.
Website: https://www.straive.com/ Linkedin
Job Role: Data Science - Fraud Analytics
Type: Contract (8-12 weeks)
Location: New York, NY/San Jose, CA
Roles and Responsibilities:
· Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud).
· Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences.
· Develop Fraud rules on workflow systems
· Develop fraud reports for ongoing monitoring of fraud events.
· Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
· Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
· Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
Skills Required:
· Bachelor's degree in engineering, technology, computer science or related field.
· 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field
· Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
· Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
· Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
· Ability to work collaboratively in a cross-functional team environment.
This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.
If you are a motivated professional with a passion for delivering impactful solutions, we’d love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.
“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”
