Fraud & Risk Analytics Specialist

As a global analytics services and solutions company, you will be responsible for leading and mentoring a team of analysts and data scientists to deliver risk and fraud analytics solutions for global retail clients. Your role will involve monitoring current trends in the fraud landscape, suggesting preventive and corrective measures, and advising clients on a wide range of fraud management and analytics initiatives. You will collaborate with product, engineering, and operations teams to translate business risks into measurable data strategies and design dashboards and monitoring systems to track suspicious activity and risk KPIs. Leveraging machine learning, statistical modeling, and pattern recognition will be key in proactively detecting fraudulent behavior. Key Responsibilities: - Lead and mentor a team of analysts and data scientists - Monitor current trends in fraud landscape and suggest preventive & corrective measures - Advise clients on Fraud Management/Analytics initiatives - Collaborate with product, engineering, and operations teams - Design dashboards and monitoring systems to track suspicious activity and risk KPIs - Leverage machine learning, statistical modeling, and pattern recognition - Own and manage end-to-end delivery roadmaps - Communicate insights and recommendations to senior stakeholders - Introduce best practices in program governance Qualifications: - Ability to interpret AB test results and make reasonable hypotheses - Deep expertise in technical skills like SQL, Python statistical modeling, and anomaly detection - Minimum 2 years of experience in Tableau - Experience in eCom and Retail - Excellent problem-solving, storytelling, and stakeholder communication skills - Experience leading analytics teams and managing end-to-end project deliver If there are any additional details about the company in the job description, kindly provide them so that I can include them in the final output.,