Associate Director, Trust & Safety Analytics

Role Overview: At PhonePe Limited, as a key member of the PhonePe T&S Decision Sciences team, you will be responsible for spearheading significant data-driven projects focused on safeguarding the platform for merchants and detecting abusive behaviors. You will have the opportunity to develop processes and digital tools to enhance the understanding of financial transactions and identify impactful trends affecting millions of customers and merchants. If you are passionate about collaborating with top professionals to turn your vision into reality swiftly and purposefully, this role is for you. Key Responsibilities: - Own the fraud, risk, and abuse for the entire platform across all Business Units and fraud MOs - Guide and mentor the team to develop strategies to detect, action, and resolve end-to-end risk across the platform and stakeholders - Align senior leadership across the platform with Trust & Safety goals and objectives - Supervise, lead, and align teams to meet overall Trust & Safety goals - Work closely with Engineering, Business, Operations, Product, and Data Science teams to build capabilities that help with prediction, early detection, quick resolution, and governance solutions - Manage a diverse set of requirements, assess their importance, and prioritize them based on business objectives and available resources - Evaluate trade-offs involved with every decision and articulate with supporting data to enable decision-making for senior leaders - Establish processes and frameworks for team efficiency and productivity - Analyze data to detect fraud patterns, conduct root cause analysis, and execute short-term and long-term resolutions for the team - Understand and follow industry best practices for Fraud Prevention and leverage information from regulatory changes, new regulations, and internal policy changes to better identify new key risk areas Qualification Required: - Bachelor's in engineering or Master's degree in Management, Mathematics, Statistics, or related quantitative discipline - 10+ years of experience working closely with data and data-derived decision-making, communicating and contextualizing complexity to business leaders to enable decision-making - Strong quantitative abilities, distinctive problem-solving, and excellent analytics skills - Strong organizational, communication, presentation, and project management skills - Ability to work independently and liaise with other departments, coordinating with various business stakeholders (internal/external) - Demonstrated experience working with Fraud and Risk Functions, technology, and analytics - Experience in developing and implementing successful fraud prevention and detection strategies will be a plus (Note: The additional details of the company were not present in the provided job description),