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We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. About the Role Our Cross Border Risk Department provides regulatory advisory services to leading financial institutions in Israel and globally - including banks, investment funds, institutional entities, insurance companies, and FinTech firms. We are looking for a Regulatory Consultant to join our team specializing in implementing international financial regulations for major financial institutions. If you aspire to build a career in compliance and advisory - this is your chance! Key Responsibilities
* Provide ongoing advisory and support to financial institutions in implementing FATCA, CRS, and QI regulations
* Liaise with clients in Israel and abroad to collect information, conduct surveys, and perform controls
* Draft procedures, design workflows, and define control mechanisms in line with regulatory requirements
* Assist in adapting IT systems and technological solutions to meet compliance standards
* Analyze data and reports in Excel, identify anomalies, and draw conclusions
* Prepare reports for tax authorities, draft opinions, and deliver client-ready outputs
* Participate in client training sessions and deliver professional explanations

We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society.
Job Description: Working within a consulting team specializing in supporting insurance companies in implementing regulatory and supervisory requirements, combining business, financial, and technological aspects. Key Responsibilities:
* Participation in large-scale and diverse consulting and audit projects, including consulting in the fields of information systems and finance
* Mapping regulatory requirements and translating them into technological and organizational solutions
* Defining procedures and controls in the areas of cybersecurity, authorizations, business continuity, and IT
* Writing risk management reports, policy documents, and regulatory position papers
* Working with both internal and external interfaces - regulation, legal, operations, and IT

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.


Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.