Financial Product Risk Lead - UNPAID(volunteer)

Role Overview :- We are seeking a skilled Fraud & Risk Manager to serve as the key liaison between the Product Management team and other cross-functional stakeholders, including Engineering, Data Science, Compliance, and Operations. This role will focus on strengthening our Financial Module by driving initiatives in fraud prevention, risk management, and regulatory compliance. The ideal candidate brings deep expertise in fraud detection systems, risk analysis, and financial compliance frameworks, along with the ability to translate technical and regulatory requirements into actionable insights for the product and business teams. Key Responsibilities :- Act as the primary liaison between Product, Engineering, Compliance, and Operations to ensure fraud and risk considerations are embedded across all financial product initiatives. Partner with the Product team to define and refine risk management features, fraud workflows, and compliance requirements. Collaborate with Data Science teams to design, test, and enhance fraud detection models and risk scoring mechanisms. Develop and implement policies, processes, and monitoring frameworks to ensure alignment with KYC, AML, and data protection regulations. Conduct risk assessments and propose mitigation strategies for new product launches or major enhancements. Maintain up-to-date knowledge of emerging fraud trends, regulatory changes, and industry best practices. Monitor and report on key fraud and risk metrics, ensuring transparency across departments. Support training and awareness initiatives for internal teams to enhance fraud detection and prevention capabilities. Serve as the subject matter expert on fraud risk across product and business units. Qualifications :- 4+ years of experience in fraud prevention, risk management, or compliance, preferably within fintech, banking, or financial services. Strong understanding of fraud detection systems, KYC/AML frameworks, and financial data workflows. Proven ability to work cross-functionally and translate complex risk concepts into business and technical requirements. Excellent analytical, communication, and stakeholder management skills. Experience with risk modeling, incident analysis, or fraud prevention tools is a plus. Familiarity with agile or product-driven environments. Bachelor’s degree in finance, Business, Data Analytics, or a related field; advanced degree or certification (e.g., CAMS, CFE) preferred. Apply tot his job