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We are looking for a Trading data analyst (eComms) to join our proactive surveillance team.
The ideal candidate will have a solid understanding of financial regulations and regulators (MiFid, Dodd Frank, REMIT, FINRA, SEC) and markets, with a background in banking and preferably trading, compliance or risk management. This role involves building and refining models to detect market abuse and other unethical behaviors by analysis of the text in eComms. The candidate should be comfortable with financial jargon and understand the roll of traders and bankers and how they can influence and abuse the markets. While programming skills are not required, the candidate should be proficient with tools such as PyCharm, Git, and Excel.
Lets get down to business:
What Youll Do:
Develop and refine lexicon-based models to detect market abuse and unethical behaviors in financial institutions.
Analyze electronic communications (eComms) to identify suspicious content and generate alerts.
Understand and work with our complex models and fine details to enhance model accuracy.
Build presentations and graphs to effectively communicate results to clients.
Engage with clients to understand their needs and provide insights based on analysis.
Perform extensive data analysis, tagging relevant and irrelevant data, and updating lexicons.
Stay updated on financial regulations and market trends to enhance model accuracy.
Utilize tools like PyCharm, Git, and Excel for model development and data analysis.

Required Senior Product Manager
Were rapidly growing and looking for another important piece of the puzzle.
Is it you?
As a Surveillance Product Manager, youll lead the product strategy and execution for our surveillance and detection portfolio of products. Collaborating with customers and internal teams you will manage the end-to-end product lifecycle to deliver best-in-class products that support our business growth goals.
This position is located in Israel, and youll be reporting directly to the Director of Product.
What Youll Do:
Develop a clear product strategy and roadmap for our surveillance, detection solution portfolio
Work with engineering, to drive the end-to-end product development process, from planning through release launch
Collaborate closely with Data Science to build and iterate on AI based products and capabilities
Partner with customers and GTM teams and act as a subject matter expert for pre-sales, marketing, and customer success
Stay up to date on regulatory trends, industry standards, and market developments in communication compliance
Define and track key product metrics to measure product success and areas for improvement.

We are looking for a highly motivated candidate to join our Data Science team.
If you are passionate about NLP and have 4+ years in the field, this is for you!
Lets get down to business:
What Youll Do:
Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on.
Finding the latest technology to improve our AI capabilities in a variety of languages.
Using advanced deep learning and large language models, to enhance our ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Develop processes and tools to monitor and analyze model performance and data accuracy
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Help to lead the technical roadmap.

We are looking for a Senior Back-end Engineer who will develop solutions that transform unstructured electronic communication data (from phone calls, chats, emails, etc.) into actionable intelligence for financial institutions.
Lets get down to business:
What Youll Do:
Design and implement feature requests
Optimize system scalability and resilience
Work closely with the Product Team and Architects
Support and maintain the production environments.

Required Product Marketing Manager
Who We Are
We make compliance fun! Ok, it might take a sorcerer to do that, but were pretty close.
We are a post-Series B RegTech startup, trusted by some of the worlds largest financial institutions. As a pioneer in AI-driven compliance and risk management solutions, we are dedicated to ensuring regulatory adherence and safeguarding financial institutions against emerging risks. Our comprehensive end-to-end platform provides unmatched data control, security, and efficiency in digital communications governance and archiving, redefining how financial services and other highly regulated industries mitigate risk and uncover actionable insights.
Were a team of 160 globally, with headquarters in Ramat Gan, committed to doing good in the world by protecting market integrity and safeguarding peoples financial assets.
What Will You Be Doing?
As our Product Marketing Manager, you will serve as a crucial link between Marketing, Product, Sales, Data Science, and Customer Success teams. Your role will be to create compelling product positioning and messaging, impactful tools, and lead go-to-market strategies for one of our core portfolio products.
Responsibilities:
Develop and execute product positioning, messaging, and differentiation strategies.
Conduct competitive research and market analysis to identify trends, threats, and opportunities and provide guidance with objection-handling frameworks
Create high-impact sales enablement materials to support the target personas across the sales lifecycle.
Develop and own go-to-market strategies for product launches across multiple channels.
Collaborate with cross-functional teams to ensure alignment and exceptional execution.
Produce industry-focused thought leadership content.
Engage with analysts to position us as a market leader and leverage customer insights to improve messaging.
What Success Looks Like:
Development and adoption of comprehensive toolkits for focus product.
Successful execution of product launches with measurable impact.
Contribution to establishing us as the go-to solution for financial compliance solutions.
Impact in establishing us as a differentiated market leader in financial compliance solutions.
Empowering stakeholders with the tools and messaging needed to succeed.

We are looking for an experienced Manual QA Team Leader to join our dynamic team.
In this role, youll not only manage a group of talented QA engineers but also play a critical part in shaping and elevating our QA methodologies. If youre passionate about leading people, delivering top-notch software products, and raising quality standards, read on. As a Quality Assurance Team Lead, you will manage a team of QA engineers, learn the product design and architecture to build & oversee the test plan creation, review and execution. You will deliver high quality products to production, set new QA standards and play a key role in the QA department reporting directly to the QA director.
Lets get down to business:
What youll do:
Manage & lead a team of experienced QA engineers
Oversee & force high quality standards in software test plan & execution
Work closely with the Companys QA director, reporting and improving consistency
Develop, document, and perform comprehensive test plans and test cases.
Work with RnD & Production leaders to learn and provide data driven QA decisions
Identify, document, and track bugs and inconsistencies in a complex data system, which consists of dozens of micro-services.
Guide the QA team in breaking down PRD into test plan working closely with Product in Agile methodologies
Work closely with developers, product managers, and other stakeholders to understand requirements and provide feedback on quality issues.
Participate in requirement and design review meetings.

We are looking for a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
About the Data Science Group: The Data Science group is at the forefront of developing and implementing advanced machine learning models and solutions. Our team is composed of talented data scientists, engineers, and subject matter experts who work together to create a high-quality, production-ready surveillance product and services. We are committed to pushing the boundaries of technology and delivering impactful results for our clients.
Lets get down to business:
What Youll Do:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.