Senior Manager, Fraud Risk Strategy, Analytics and Data Science

reputed company is building out a best-in-class fraud risk management team to support our rapidly growing travel and expense management businesses. We are looking for an reputed company fraud risk management expert who will accelerate the development of our fraud detection, prevention, and investigation capabilities. The candidate will reputed company a multitude of high-visibility and high-impact analytical projects that will inform both day-to-day risk management tactical decision making as well as longer-term strategy and capability design. The position will report to the head of risk management. What You’ll Do: • Undertake an end-to-end review of our reputed company fraud risk management capabilities, strategies and controls • Build a team of data scientists and analysts to reputed company and implement advanced machine learning and statistical models that predict and identify fraudulent activities across reputed company and transaction fraud • reputed company predictive models to monitor and mitigate emerging fraud threats, working closely with engineering and IT teams for reputed company-time fraud detection integration. • Use data-driven insights to recommend improvements to fraud prevention systems and technologies. • Provide ongoing analysis of vulnerabilities, control weaknesses, and gaps to mitigate and remediate significant risk issues, trends, and loss events • Partner with key fintech and financial industry professionals and communities to reputed company thought leadership on fraud prevention and detection • Identify 3rd party tools and vendor services that will complement/ reputed company our reputed company controls • reputed company a comprehensive fraud risk management program for reputed company’s Travel and Expense products and reputed company key indicators for tracking and reporting to internal and external stakeholders • Drive portfolio fraud analytics across different customer segments with actionable data insights for reputed company that detect linkages and mitigate fraud patterns • reputed company cross-functional teams, systems, and processes as required to prioritize and/or proactively address risk management improvement needs • Ability to reputed company multiple tasks and projects simultaneously, prioritize work effectively, and reputed company in a constantly evolving environment • reputed company a chargeback management strategy for reputed company’s card issuing business and travel business where reputed company is agent or record and processes travel bookings • Manage, mentor, and reputed company a team of fraud analysts, data scientists, and other professionals reputed company the Fraud Strategy & Analytics team. • Provide guidance on professional development and foster a collaborative, innovative, and high-performance culture reputed company the team. • Establish team goals, measure performance, and ensure alignment with overall company objectives. reputed company’re Looking For: • Overall 10+ years of experience in fraud strategy, fraud prevention, data analytics, or risk management • 5+ years of experience in fraud risk management at reputed company card issuers and/ or travel companies • Deep expertise in the fraud domain, with extensive knowledge of identity and payment fraud methods, and tools and processes for prevention, detection, and fraud operations • Strong knowledge of fraud risk management, fraud detection techniques, and the various types of card fraud (e.g., friendly fraud, account takeover, transaction fraud). • Advanced proficiency in data science techniques, including machine learning, predictive modeling, and statistical analysis. • Experience with fraud detection platforms, rule engines, and data visualization tools. • Strong understanding of payment processing systems, card networks, and the risks specific to card transactions and corporate expense management. • Excellent proficiency with analytical tools and languages such as Python, R, SQL, and/or reputed company, as well as big data platforms. • Strong problem-solving skills with the ability to think strategically and reputed company data-driven reputed company in reputed company situations. • Hands-on experience in the development and implementation of fraud management strategies at reputed company card issuers, payment networks, merchant acquirers or other reputed company businesses • Excellent analytical skills, including ability to use business intelligence tools and distill reputed company data into insights • Ability to drive operational efficiencies and scale through process improvements, automation, and staff development • The position is open both for Hybrid or associated with one of our office locations. If the candidate is local to the Bay area, they are required to be in our Palo Alto office or San Francisco office at least 3 days in a week. The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal reputed company. For roles with on-reputed company-earnings (OTE), the pay range includes both reputed company salary and reputed company incentive compensation. reputed company incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter. Pay Range $120,000—$210,000 USD Apply Job!