Navan is building out a best-in-class fraud risk management team to support our rapidly growing travel and expense management businesses. We are seeking an experienced fraud risk management expert who will accelerate the development of our fraud detection, prevention, and investigation capabilities. The candidate will drive several critical analytical projects and devise our fraud investigation strategy.
What You’ll Do:
- Detect risk and prevent fraud loss across all payment channels and customer segments through the full life cycle while balancing profitable growth with best customer experience
- Build out and lead portfolio fraud analytics across different customer segments with actionable data insights for risk strategies that detect linkages and mitigate fraud patterns
- Maintain lead responsibility for the identification, selection, management, and enhancement of business rules, while managing towards Fraud KPIs and KRIs of the Travel and Expense portfolios
- Drive analysis for fraud rule discovery activities that support both new and existing fraud service initiatives that identify policy or process improvement opportunities
- Generate queries that monitor and identify fraud patterns which identify high fraud risk transactions via multiple attribute analysis, including transaction details, velocity of activity, and user behavior of new and existing customers
- Manage fraud reviews and take the initiative to coordinate resolution with cross-functional stakeholders to reduce fraud exposure
- Leverage cross-functional teams, systems, and processes as required to prioritize and/or proactively address risk management improvement needs
- Ability to lead multiple tasks and projects simultaneously, prioritize work effectively, and thrive in a constantly evolving environment
What We’re Looking For:
- 3+ years of experience in fraud risk management in the credit cards and payments industry or eCommerce with risk strategies related to card products and payment acceptance is desired
- Bachelor's degree in statistics, business, data sciences or equivalent professional experience preferred
- Demonstrated experience in building automated fraud detection and prevention strategies that scale, online fraud prevention experience a plus
- Understanding of common and creative techniques used by fraudsters to exploit e-commerce/issuer systems and processes is desirable
- Expertise in authoring and analyzing fraud rules desired with rules authoring through Boolean logic and/or SQL is desired
- Strong command of data analytics methods and software such as Snowflake/Python and other data mining and analysis tools
- Understanding of key business drivers and performance metrics as it relates to fraud rules and risk management
- Ability to interact and coordinate effectively with internal and external business partners
- Ability to demonstrate exceptional organizational skills by efficiently managing and prioritizing multiple analytical projects
- This position requires the candidate to be at our Dallas office. The candidate is expected to be in the office 3 days per week
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What We Do
Navan (Nasdaq: NAVN) is the leading all-in-one business travel, payments, and expense management platform that makes travel easy for frequent travelers. From finding flights and hotels to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.
Why Work With Us
At Navan, we’re never satisfied with the status quo, and we know breakthrough ideas come from diverse perspectives. We are committed to cultivating a workplace that reflects the diversity of the customers we serve while fostering leadership and innovation.
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Employees engage in a combination of remote and on-site work.
In-person connections is the foundation of Navan, the connections forged through face-to-face interactions improve company culture and what we can achieve together. We operate on a hybrid working model, which we define as four days a week in-office.
