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Required Automation and performance Team Leader
We are helping financial organizations combat financial cybercrimes such as money laundering and fraud, and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking, which negatively impact the global economy.
Join us as a QA Automation and performance TL to lead the Automation and performance team including HO tasks.
This role follows a hybrid model, involving being present at our Israeli site three times a week.
As a Team Lead, you will bridge the gap between high-level quality strategy and hands-on technical execution. You will be responsible for the growth of your team members, the stability of our AI-driven platforms, and the efficiency of our delivery pipelines.
Key Responsibilities:
Leadership & Mentorship: Lead and coach the Automation and Performance team. Set clear goals, conduct code reviews, and foster a culture of technical excellence.
Strategic Planning: Define and implement E2E testing policies, standards, and procedures for solutions deployed to global Tier-1 financial institutions.
Technical Architecture: Design and maintain scalable automation frameworks and performance testing suites using Python.
Stakeholder Management: Partner with R&D, Product, and Delivery stakeholders to align quality initiatives with business roadmaps and system development life cycles.
CI/CD Ownership: Build and optimize test pipelines within CI/CD environments to ensure fast, stable, and reliable deployments.
Performance & Scale: Oversee performance testing strategies to ensure the platform handles massive Big Data workloads without degradation.
Quality Governance: Act as the final authority on system/acceptance testing in NFT, providing risk assessments and "Go/No-Go" recommendations for releases.

We are looking for a Senior Software Developer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

Were growing and looking to hire a Senior Product Manager who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking an experienced Product Manager to lead the discovery, definition, and delivery of impactful product initiatives across Clarotys platform. You will own the product vision and roadmap for your domain, balancing customer needs, technical feasibility, and business goals. This role requires strong product thinking, data-driven decision making, and close collaboration with engineering, design, and go-to-market teams to drive innovation in the CPS space.
Responsibilities:
As a Product Manager, your impact will be:
● Product Discovery & Delivery: Empower the product team to discover and build viable solutions to complex problems that delight customers.
● Lifecycle Ownership: Own the end-to-end product lifecycle, from collecting feedback and defining requirements to ensuring successful releases.
● Strategic Roadmap: Play a key role in the product roadmap planning and prioritization process, synthesizing inputs into a clear product definition.
● Go-To-Market Partnership: Partner with Sales, Marketing, and Customer Success to drive product adoption and support global GTM efforts.
● Cross-Functional Collaboration: Work across horizontal R&D teams to ensure scalable and cohesive product delivery.

We are looking for a Senior Algorithm Engineer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

We are looking for an Algorithm Researcher to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of research, mathematics, and advanced AI, turning complex theoretical concepts into scalable, production-ready algorithms. You will solve high-dimensional real-world problems and contribute directly to mission-critical systems used by leading financial institutions worldwide.
Technology: Python, NumPy, SciPy, Pandas, PyTorch / TensorFlow, LLMs, RAG, vector databases, large-scale data processing
What youll work on:
Designing and developing advanced algorithms for complex financial crime detection challenges
Translating mathematical models and research concepts into scalable production systems
Building and optimizing ML and LLM-based solutions for real-world deployment
Working with transformers, attention mechanisms, sequence modeling, and representation learning
Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
Improving model accuracy, robustness, explainability, and inference efficiency
Collaborating with engineers, data scientists, and domain experts to bring research into production.