Senior Manager, Fraud Risk Strategy, Analytics and Data Science - Navan
Palo Alto, CA 94301
About the Job
Navan 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 experienced fraud risk management expert who will accelerate the development of our fraud detection, prevention, and investigation capabilities.
The candidate will lead 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 current fraud risk management capabilities, strategies and controlsBuild a team of data scientists and analysts to develop and implement advanced machine learning and statistical models that predict and identify fraudulent activities across onboarding and transaction fraudDevelop predictive models to monitor and mitigate emerging fraud threats, working closely with engineering and IT teams for real-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 eventsPartner with key fintech and financial industry professionals and communities to develop thought leadership on fraud prevention and detectionIdentify 3rd party tools and vendor services that will complement/ augment our current controlsDevelop a comprehensive fraud risk management program for Navan’s Travel and Expense products and develop key indicators for tracking and reporting to internal and external stakeholders Drive portfolio fraud analytics across different customer segments with actionable data insights for risk strategies that detect linkages and mitigate fraud patternsLeverage cross-functional teams, systems, and processes as required to prioritize and/or proactively address risk management improvement needsAbility to lead multiple tasks and projects simultaneously, prioritize work effectively, and thrive in a constantly evolving environmentDevelop a chargeback management strategy for Navan’s card issuing business and travel business where Navan is agent or record and processes travel bookingsManage, mentor, and develop a team of fraud analysts, data scientists, and other professionals within the Fraud Strategy & Analytics team.Provide guidance on professional development and foster a collaborative, innovative, and high-performance culture within the team.Establish team goals, measure performance, and ensure alignment with overall company objectives.What We’re Looking For:Overall 10+ years of experience in fraud strategy, fraud prevention, data analytics, or risk management5+ years of experience in fraud risk management at commercial 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 operationsStrong 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 SAS, as well as big data platforms.Strong problem-solving skills with the ability to think strategically and make data-driven decisions in complex situations.Hands-on experience in the development and implementation of fraud management strategies at commercial card issuers, payment networks, merchant acquirers or other related businessesExcellent analytical skills, including ability to use business intelligence tools and distill complex data into insightsAbility to drive operational efficiencies and scale through process improvements, automation, and staff developmentThe 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 parity.For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation.
Target 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
We are looking for an experienced fraud risk management expert who will accelerate the development of our fraud detection, prevention, and investigation capabilities.
The candidate will lead 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 current fraud risk management capabilities, strategies and controlsBuild a team of data scientists and analysts to develop and implement advanced machine learning and statistical models that predict and identify fraudulent activities across onboarding and transaction fraudDevelop predictive models to monitor and mitigate emerging fraud threats, working closely with engineering and IT teams for real-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 eventsPartner with key fintech and financial industry professionals and communities to develop thought leadership on fraud prevention and detectionIdentify 3rd party tools and vendor services that will complement/ augment our current controlsDevelop a comprehensive fraud risk management program for Navan’s Travel and Expense products and develop key indicators for tracking and reporting to internal and external stakeholders Drive portfolio fraud analytics across different customer segments with actionable data insights for risk strategies that detect linkages and mitigate fraud patternsLeverage cross-functional teams, systems, and processes as required to prioritize and/or proactively address risk management improvement needsAbility to lead multiple tasks and projects simultaneously, prioritize work effectively, and thrive in a constantly evolving environmentDevelop a chargeback management strategy for Navan’s card issuing business and travel business where Navan is agent or record and processes travel bookingsManage, mentor, and develop a team of fraud analysts, data scientists, and other professionals within the Fraud Strategy & Analytics team.Provide guidance on professional development and foster a collaborative, innovative, and high-performance culture within the team.Establish team goals, measure performance, and ensure alignment with overall company objectives.What We’re Looking For:Overall 10+ years of experience in fraud strategy, fraud prevention, data analytics, or risk management5+ years of experience in fraud risk management at commercial 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 operationsStrong 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 SAS, as well as big data platforms.Strong problem-solving skills with the ability to think strategically and make data-driven decisions in complex situations.Hands-on experience in the development and implementation of fraud management strategies at commercial card issuers, payment networks, merchant acquirers or other related businessesExcellent analytical skills, including ability to use business intelligence tools and distill complex data into insightsAbility to drive operational efficiencies and scale through process improvements, automation, and staff developmentThe 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 parity.For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation.
Target 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
Source : Navan