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Data Scientist

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Location: Jerusalem
Job Type: Full Time
We are looking for a Safety Assurance Expert to our the Safety team developing novel approaches to assess and promote autonomous vehicle (AV) safety.
Safety is a core decision driver at the highest level of development and business strategy, directly impacting project timelines and approval for our most advanced programs.
Demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. It requires a deep understanding of the entire AV system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach.
What Will Your Job Look Like?
Contribute to the development of a large-scale autonomous system from its early stages and see it through to deployment.
Take part in the safety assessment process, leading I1 assessments and defining and tracking key performance indicators (KPIs) for the AV system.
Propose and implement new methods and tools to support comprehensive safety evaluations.
Identify and analyze potential safety riskssuch as those related to driver behaviorand develop strategies for mitigation.
Collaborate with stakeholders across the automotive industry to build broad acceptance of our safety methodology.
Work closely with customers and regulatory bodies on all aspects of safety assurance.
Requirements:
A degree in Computer Science, Mathematics, Data Science, or a related technical field.
3+ years of experience in the development or product management of complex, high-performance software or hybrid software-hardware systems.
Strong system-level reasoning and high-level analytical thinking.
Excellent communication and interpersonal skills.
A passion for transforming the future of mobility and improving how people move
Experience in the automotive industry- an advantage
Deep understanding of safety standards and concepts such as ISO 26262, ISO/PAS 21448 (SOTIF), and UL 4600-an advantage
Proven expertise in designing and developing safety-critical systems-an advantage
Familiarity with safety analysis techniques such as hazard analysis, risk assessment, FMEA, and FTA-an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8380063
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Location: Jerusalem
Job Type: More than one
Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)
Requirements:
What You Bring to the Table 3+ years or relevant experience in the data analytics and/or data science field - Must
* 3+ years' experience using SQL/Python for querying data and for data manipulation / transformation – Must
* Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools - Must
* Native level English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment and good Hebrew
* Experience implementing AML or Fraud Transaction Monitoring in Palantir - A plus
* Experience in Business Intelligence/Data Exploration and Visualization tools
* Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7537532
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
21/09/2025
Job Type: Full Time
We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation, leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena:
Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring.
Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
Own projects end-to-end - balancing short-term wins with long-term strategy.
Requirements:
4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must.
Proven experience in the Fintech/Fraud Prevention Domain - Must.
Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must.
Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must.
Strong background in e-commerce or payments - Advantage.
A self-starter mentality - someone who identifies opportunities, takes initiative, and drives improvements with minimal direction.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8353679
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