Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 8 hours ago

Fraud Strategy Decision Scientist

Navan208 open roles

Where
Dallas, TX
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFraud Strategy Decision ScientistNavan · Dallas, TX

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Navan's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Navan postings stay open a median of 30 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 8 hours ago

Navan median: 30 days open

The posting

Navan is expanding its Fraud Risk Management organization to build world-class fraud prevention and detection capabilities across our travel and expense platforms. We are seeking a Fraud Strategy Decision Scientist to lead data-driven fraud strategy initiatives focused on machine learning features, rules development, and scalable fraud controls.

This role is ideal for a Fraud Strategy Decision Scientist who blends strong data science intuition with practical fraud rule design, understands how models and rules work together in production, and can partner deeply with Product, Engineering, and Fraud Operations to reduce fraud losses while enabling business growth.

You will play a critical role in shaping Navan’s end-to-end fraud strategy, translating advanced analytics and ML outputs into actionable rules, thresholds, workflows, and policy decisions across expense card issuing, payments, onboarding, and travel fraud.

What You’ll Do

  • Own and drive fraud strategy for key risk areas across travel and expense, balancing fraud loss reduction with customer experience.
  • Design and evolve fraud rules, thresholds, and decision workflows, informed by data science models, ML features, and investigative insights.
  • Partner closely with Data Science teams to translate machine learning model outputs and features into effective, explainable fraud strategies.
  • Lead strategy development across onboarding, payments, expense submissions, and transaction monitoring.
  • Apply advanced analytics techniques (trend analysis, segmentation, clustering, network analysis) to identify emerging fraud patterns and control gaps.
  • Perform root-cause analysis and loss attribution, quantifying financial impact and prioritizing strategy improvements.
  • Own strategy performance metrics, including fraud loss, approval rates, false positives, and customer friction.
  • Collaborate cross-functionally with Fraud Operations to ensure strategies are operationally executable and continuously optimized.
  • Partner with Engineering and Product to implement fraud strategies into real-time and batch decisioning systems.
  • Drive experimentation and A/B testing of rules, thresholds, and model-driven strategies.
  • Contribute to the long-term fraud strategy roadmap, including tooling, rule engines, model integration, and automation.
  • Support vendor evaluations and third-party data integrations to enhance detection signals.
  • Mentor junior fraud strategists and analysts, setting best practices for strategy design, documentation, and governance.

What We’re Looking For

  • 7–10+ years of experience in fraud strategy, fraud analytics, or financial crime risk management.
  • Strong experience designing and managing fraud rules, policies, and decision strategies in production environments.
  • Deep understanding of how machine learning models and features are used to inform fraud decisions.
  • Proficiency in SQL and strong working knowledge of Python for analysis and strategy validation.
  • Experience working with large-scale data platforms such as Snowflake, Databricks, Spark, or similar.
  • Solid understanding of card payments, transaction flows, identity verification, and fraud typologies (ATO, synthetic identity, first-party fraud, third-party fraud, scams).
  • Demonstrated ability to partner effectively with Data Science, Engineering, Product, and Fraud Operations teams.
  • Strong analytical mindset with the ability to translate complex data into clear, actionable strategy decisions.
  • Excellent communication skills, including presenting strategy recommendations to senior leadership.
  • Experience in fintech, payments, travel, or e-commerce environments preferred.
  • Bachelor’s degree in a quantitative or analytical field; Master’s degree preferred.

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

  • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Navan's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Navan's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Navan's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.