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29/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We seek a highly skilled Technical Competitive Intelligence Analyst to analyze and evaluate competitors' products. This role includes understanding our competitors' technical landscapes and providing insights that inform product roadmap, enhance our competitive positioning, and drive innovation in data security solutions.
What Youll Do:
Conduct in-depth technical analysis of competitor products, including architectures, technology stacks, and key features.
Gather and synthesize competitive intelligence from field input, customer feedback, analyst reports, and public sources to validate or counter competitor claims.
Monitor and track competitors product updates, announcements, and strategies.
Partner closely with R&D, Product Management, and Sales to identify differentiation opportunities and inform roadmap decisions.
Develop technical competitive assets, including deep-dive reports, battlecards, and technical comparisons, to support all relevant teams across the company.
Assist in creating and verifying technical benchmarks to assess products against competitors.
Proactively identify future competitors, market disruptors, and technical risks before they become visible in the field.
Requirements:
3+ years of experience in technical analysis, cybersecurity, cloud technologies, or related domains.
Strong understanding of cloud security, data protection, and SaaS platforms.
Familiarity with data protection, DSPM, DLP, and AI-security markets.
Proven ability to break down complex technical systems and translate them into actionable insights.
Strong interpersonal skills with a collaborative mindset, able to build trust and work effectively across diverse teams.
Excellent communication skills, both written and verbal, to convey technical findings to non-technical stakeholders.
Analytical mindset with a healthy skepticism toward marketing claims and unsupported narratives.
This position is open to all candidates.
 
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22/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.
Requirements:
3+ years of experience as a Data Analyst, Cyber Analyst, Network Analyst, Analytics Engineer, Solutions Analyst, or in a similar data-focused role.
Strong SQL skills and working knowledge of Python.
Experience working with large, complex datasets from multiple sources.
Experience with data modeling, schema design, and structuring data for efficient analysis.
Ability to independently own projects from discovery through delivery, balancing long-term improvements with short-term priorities.
Comfortable working across Engineering, Product, Data Science, and customer-facing teams.
Strong analytical thinking and the ability to translate data into clear recommendations and business decisions.
Excellent communication skills and confidence presenting findings to both technical and non-technical audiences.
A customer-first mindset with the ability to prioritize work around customer impact and deadlines.
The company Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Even Better If You Also Bring
Experience building or improving data platforms, analytics infrastructure, or data operations processes.
Experience working with APIs, integration platforms, or SaaS data sources.
Previous experience leading projects or mentoring others.
Familiarity with AI/LLM products and an interest in applying AI to data analysis and customer workflows.
This position is open to all candidates.
 
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28/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Data Analyst
Description
We're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.
Requirements:
5+ years of experience in Product Analytics, Data Analytics, Analytics Engineering, or a similar analytical role, with a track record of owning product analytics end to end.
Hands-on experience building product analytics infrastructure from scratch, including event tracking design and taxonomy - Mixpanel experience required.
4+ years of hands-on Python experience in a professional environment.
Strong SQL skills and experience working with large-scale datasets.
Experience building and maintaining workflows using Apache Airflow.
Experience using AI-assisted coding tools such as Claude Code as part of your day-to-day workflow.
Experience with BI and visualization platforms such as Looker, Tableau, Power BI, or similar.
Strong analytical thinking and problem-solving abilities.
Ability to independently lead projects and take ownership from definition through execution, especially in ambiguous, 0-to-1 situations.
Excellent communication skills and ability to present findings to diverse audiences.
Professional working proficiency in English, both written and spoken.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
You will be the only SOC analyst based in Israel, while the rest of the analyst team operates from the Philippines. You will act as the SOCs local anchor - the on-site technical counterpart for the Israel-based Cyber Security, IT, Operations, and R&D teams, and the escalation and knowledge bridge between them and the offshore shifts. The role calls for ownership, independence, and the appetite to build and improve, not only to operate.

Responsibilities

Monitoring and Detection: Continuously monitor SIEM, endpoint protection (EDR), IPS, mail security, CASB, cloud, and identity security solutions to identify potential threats.
Incident Response: Serve as one of the first levels of escalation for security incidents - investigate, contain, and drive resolution before escalating to the senior SecOps members, in accordance with defined procedures and SLAs.
Incident Coordination: Lead coordination of major incidents until ownership is transferred to the relevant SecOps, IT, Operations, or R&D team; ensure clear communication, escalation, and tracking of action items.
Threat Analysis: Analyze logs, network traffic, endpoint telemetry, and native (in-tool) alerts to determine root cause, scope, impact, and remediation steps.
SIEM and Detection Engineering: Own day-to-day operation of the SIEM - data onboarding and ingest pipelines, field mapping and data quality, dashboards and platform health - and write, tune, and maintain detection rules while measuring their effectiveness.
Exclusion and Exception Management: Own the exclusion and exception lifecycle across the security stack: review requests, assess risk, apply scoped, time-bound exclusions, and revalidate them periodically.
Automation and AI-Assisted Operations: Build and maintain automations across the SOC toolchain (enrichment, containment, ticketing, reporting), and design, implement, and validate AI/LLM-based workflows for alert triage, investigation support, and documentation - including guardrails and quality control of AI output.
Investigation Documentation: Create and maintain detailed incident tickets, including investigation audit trail, action items, and timelines.
Technical Leadership: Act as the senior operational reference for the analyst team: help prioritize workload, assure investigation quality, maintain consistent handling of incidents, escalations, and shift handovers, and mentor analysts on tooling and methodology.
Collaboration: Work closely with the Cyber Security team, IT, Operations, and R&D locally, and with the offshore SOC team across time zones.
Continuous Improvement: Drive improvements to detection logic, automation, operational runbooks, and shift handover documentation based on lessons learned from incidents.
Compliance and Reporting: Support reporting for compliance audits, management reviews, and threat intelligence updates.
Requirements:
3-5 years of hands-on experience in a SOC or cybersecurity operations role.
Proven experience with a SIEM platform, including detection rule engineering and content development (Advantage: Elastic).
Experience with EDR and additional security tools and platforms (Advantage: CrowdStrike Falcon).
Practical experience using AI/LLM tools in technical workflows, with a clear understanding of their limitations and failure modes.
Broad technical foundation across the SOC domain: threat vectors, malware behavior, network protocols, operating system internals, identity, cloud, and SaaS security controls.
Strong analytical and problem-solving skills, with the ability to correlate events across multiple data sources and think beyond the alert.
High degree of ownership and autonomy - able to operate as the only analyst on site, set priorities independently, and drive tasks to closure.
Excellent communication skills and the ability to work effectively with distributed teams across time zones.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.
Requirements:
4+ years of experience in product analytics, business analytics, BI, data analytics, or a similar analytical role.
Strong SQL skills and the ability to independently explore data, investigate complex questions, and derive meaningful insights.
Experience analyzing product performance, customer behavior, business KPIs, funnels, retention, or other business-critical metrics.
Experience with product analytics and BI tools, such as Mixpanel, Tableau, Power BI, or similar.
Strong analytical and statistical judgment, including experience evaluating trends, interpreting experiments, and working with imperfect data.
Strong business acumen, ownership, and communication skills, with the ability to translate analytical findings into clear, actionable recommendations.
Nice to have:
Hands-on experience with dbt or similar data transformation tools, including building and maintaining analytical data models - a significant advantage.
Experience with modern data platforms and cloud technologies, such as AWS, Athena, Spark, or similar.
Experience with Python for analytics and statistical analysis.
Experience with AI-powered, voice, or conversational products, or in healthcare and home care.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Security Analyst
About the Role:
An industry leader heading into an exciting phase of growth. In this role, you will play an integral part in shaping a new and innovative SaaS product through deep data exploration, detection engineering, core KPI tracking, and actionable insights.
If you are a talented Security Data Analyst passionate about elevating trust, optimizing product performance, and leveraging next-gen technologies to protect customers, we want you on our team!
What youll do:
Build & Fine-Tune Detections: Design, build, and optimize detection rules and risk models to identify emerging fraud vectors while fine-tuning alert thresholds to minimize false positives.
Drive Product & Threat Analytics: Perform Exploratory Data Analysis (EDA), track core product/risk KPIs, and deliver data-driven insights that directly influence product strategy.
Escalation & Optimization: Act as an analytical escalation point for high-stakes enterprise client investigations, providing tailormade analytics to improve detection performance.
Actionable Visualizations: Translate complex data trends into clear dashboards and executive-ready reports that drive action across internal and external stakeholders.
AI & Automation Vision: Configure and deploy AI Agents & Skills within analytical workflows to serve as a key productivity multiplier for the team.
Cross-Functional Collaboration: Partner closely with Product and Analytics teams to support new feature rollouts and strategic decision-making.
Requirements:
What youll need:
2+ years of experience as a Data Analyst / Fraud Analyst / Security Data analyst in a fast-paced, data-rich SaaS environment.
Detection & Analytics Focus: Proven experience in analyzing security/fraud data, building detection logic, and performing Exploratory Data Analysis (EDA).
Strong Tech Stack: Proven expertise in BigQuery and advanced SQL. Hands-on experience with Grafana (or modern visual analytics tools).
Programming: Solid familiarity with Python (Pandas/NumPy) for data manipulation and analysis.
Communication & Stakeholder Management: High verbal and written communication skills in English-capable of leading discussions and presenting complex analytical findings to Enterprise clients and internal leaders.
Problem-Solving & Agility: A proactive mindset with a proven ability to multitask and turn complex data into clear action items.
Education: BA/BS in Statistics, Industrial Engineering, Operations Research, Computer Science, Economics, or a related quantitative field.
Advantage:
Experience in building, configuring, or leveraging AI Agents / AI Tools to automate workflows.
Hands-on experience with cyber/fraud detection mechanisms and threat analysis.
Prior experience in a modern SaaS/B2B Product Analytics role.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. Youll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace
Youll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions.
We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions.
What You'll Do:
Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities.
Run the experimentation engine. Own experiments end to end - identify whats worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions.
Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that arent obvious from a dashboard.
Shape how we measure the product. Define the metrics that matter, make sure were measuring new features correctly, and create a trusted analytical foundation for understanding product performance.
Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization.
Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed.
Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems.
Requirements:
5+ years as a Product Analyst or Data Analyst in a fast-paced product environment. Consumer product experience is a strong plus.
Excellent SQL and analytical skills. Youre comfortable working directly with large, complex datasets and can independently get from a product question to a trustworthy answer.
Strong experimentation skills. You understand how to design, evaluate, and interpret A/B tests, including the statistical principles and practical pitfalls behind them.
Strong product thinking. You dont stop at what happened - you want to understand why it happened, what it means for the user and the business, and what we should do next.
Technical curiosity. Youre comfortable understanding how products work under the hood and collaborating with engineers on data, instrumentation, experiments, and technical product questions.
AI-native mindset. AI is already part of how you work. You actively use modern AI tools to increase your speed, depth, and independence.
High ownership. You dont wait for perfectly defined requests. You identify important questions, investigate them independently, and drive them toward decisions.
Strong communication. You can turn complex analysis into simple, clear conclusions that people can understand and act on.
This position is open to all candidates.
 
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27/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.
Requirements:
2+ years of analytical work experience, preferably for a web or mobile company, online gaming industry.
BSc/BA in highly quantitative field such as mathematics / Industrial Engineering / Economics / Statistics or equivalent academic knowledge.
Outstanding analytical & technical skills.
Strong SQL with experience in querying large, complex data sets.
Self-motivated and independent.
Ability to turn complex concepts into actionable recommendations.
Advantages
Previous analytical experience in the gaming industry.
Python, R or any other scripting language.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Cyber Data Analyst.
As a Senior Cyber Data Analyst for the Asset Intelligence Research team, you will conduct research to enhance the asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security asset data, automate workflows, and prototype logic to address how enterprise assets are discovered, classified, and trusted. This is a high-impact role where your research directly shapes how our customers manage, prioritize and secure their entire assets inventory.
Responsibilities:
Lead end-to-end research projects focusing on asset data quality, fidelity assessment, enrichment, and correlation across device, identity, software, and SaaS asset types.
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate asset research, and prototype enrichment and classification logic.
Research and define gating conditions that evaluate assets across three dimensions: Existence, classification, and risk and criticality.
Partner with Product and Engineering teams to transform technical research into production-ready product capabilities.
Requirements:
4+ years of professional experience in security research, cyber asset management, threat intelligence, or security data analysis.
Demonstrated proficiency with Python for scripting/automation and SQL for querying complex, large-scale security datasets.
Hands-on experience integrating AI/LLMs into technical workflows to accelerate data analysis, parsing, or research output.
Practical understanding of security data sources and their signal quality- including EDRs, MDMs, CMDBs, network scanners, cloud providers, and SaaS management tools- and the ability to reason about the reliability of each.
Preferred Qualifications:
Prior experience in B2B SaaS or enterprise cybersecurity product environments.
Experience in cybersecurity asset management (CSAM), IT asset management (ITAM), or cyber asset attack surface management (CAASM).
Experience designing asset fidelity or criticality scoring logic that combines signals across multiple data sources.
Proven track record of framing open-ended security data problems into scalable software feature requirements.
This position is open to all candidates.
 
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24/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
we are looking for a Senior Security Analyst to join our research team. In this role, you will help uncover critical security risks in cloud, SaaS, and AI environments, with a strong focus on AI Agents & Non-Human Identity (NHI) Security.
You will own hands-on security research across active customer POCs, conducting deep-dive security research on their environments, identifying vulnerabilities, surfacing real risks, and delivering clear remediation steps. Utilizing cutting-edge platform alongside hands-on manual research, you will translate complex security gaps into high-impact insights and executive reports, helping shape the way organizations secure machine and AI-driven identities at scale.
Requirements:
4+ years of experience in security analysis, cloud security, or offensive/defensive security research.
Strong Cloud & IAM Expertise: Practical knowledge of cloud infrastructure security, identity management, authentication protocols, and securing non-human identities/AI workflows.
Analytical & Product-Oriented Mindset: Ability to master the Token platform, understand its capabilities deeply, and leverage it alongside AI-assisted research tools to uncover hidden risks.
Excellent Communication & Reporting: Proven ability to distill complex technical findings into structured, readable reports and present them clearly to both internal sales teams and external customers.
Customer-Facing Capabilities: Comfortable leading technical discussions, walking customers through findings, and acting as a trusted advisor.
Fluent English (both written and verbal).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8832844
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.
In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.
Here are a few of the things you'll do:
Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving toward an AI-first, autonomous fraud detection ecosystem.
AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.
Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.
Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.
Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.
Requirements:
5+ years of experience in fintech or payments fraud analytics. You are a seasoned IC who has scaled fraud programs in complex, high-volume environments.
AI/ML Expertise: Proven experience leveraging Generative AI, LLMs (e.g., RAG, agentic workflows), and Machine Learning to solve real-world risk problems. You don't just use these tools; you know how to build with them.
Technical Powerhouse: Mastery of Python (for data science and automation) and SQL (performance tuning, CTEs, window functions). You are comfortable working alongside engineers and data scientists.
Network Analysis: Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques to identify organized criminal networks.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Strategic Influence: While this is not a management role, you have a track record of influencing technical roadmaps and advising senior leadership on risk-reward trade-offs.
Advanced data‑visualization skills (Looker, Tableau, Omni, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Domain Depth: Expert knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, as well as the specific fraud challenges of the SaaS and marketplace sectors.
Regulatory Fluency: A solid understanding of PCI DSS, Nacha rules, and the emerging regulatory landscape surrounding AI in financial services
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Education: Bachelors or Masters degree in a quantitative field (e.g., CS, Statistics, Mathematics, Economics) or equivalent technical experience- 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
8840712
סגור
שירות זה פתוח ללקוחות VIP בלבד