Sr. Analyst, Fraud, Risk, Strategy, and Analytics

Navan; Dallas (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

A leading travel and expense management company is seeking an experienced fraud risk management expert to enhance its fraud detection and prevention capabilities. Candidates must have over 3 years of relevant experience and a Bachelor's degree in statistics, business, or data sciences. This role involves analyzing fraud patterns and building automated strategies, requiring strong proficiency in data analytics tools like Snowflake and Python. Candidates should be prepared to work on-site in New York, San Francisco, or Palo Alto for three days a week.

Qualifications

• 3+ years of experience in fraud risk management in credit cards and payments industry.
• Expertise in building automated fraud detection and prevention strategies that scale.
• Strong command of data analytics methods and relevant software.
• SQL-based rules authoring using Boolean logic is desirable.
• Strong data analytics skills with Snowflake/Python.

Responsibilities

• Detect risk and prevent fraud loss across all payment channels.
• Build and lead portfolio fraud analytics with actionable data insights.
• Drive analysis for fraud rule discovery activities.
• Generate insights from transaction data and user behavior.
• Present findings to stakeholders and drive risk improvements.

Skills

Fraud risk management

Data analytics

Fraud detection strategies

SQL

Cross-functional collaboration

Project management

Education

Bachelor's degree in statistics, business, data sciences or equivalent

Tools

Snowflake

Python

Job description

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 New York, San Francisco or Palo Alto offices. The candidate is expected to be in the office 3 days per week