For a successful startup in the field of financial services, we are looking for a Delivery/Project Manager.

Key Responsibilities 

• Support the implementation of a financial-organizational management system for existing and potential clients. 
• Account Receivables: Consolidated AR reporting analysis (quarterly/monthly), aging, cash flow forecasting, bad debts provision monitoring, and credit insurance management. 
• Interaction with end clients and stakeholders within the organization. 
• Customer support and training in managing the collection processes within the system for all types of clients (HQ, Regions, subsidiary companies, key users, etc.). 
• Customer portfolio management, interaction with end-users: implementation, training, and support. 
• Responsible for compliance with regulations and policies when dealing with internal auditors, regulations, policies, and workflows. 

Requirements 

• Bachelor’s degree in finance, economics, business administration, accounting, or industrial engineering and management – mandatory. 
• Excellent analytical skills, problem-solving abilities, attention to details, and interpersonal skills. 
• Ability to manage and prioritize tasks. 
• Computer skills: Proficiency in office, BI analytics, and web applications. 
• Excellent written and spoken English and Hebrew. 
• Good teamwork and positive team environment abilities. 
• To succeed, it is crucial to be goal-oriented, meet deadlines, and possess excellent technical skills.

For a successful startup in the field of financial services, we are looking for a Data Engineer – Microsoft Fabric & Azure ML Specialist.

Key Responsibilities: 

• Lead the development, implementation, and maintenance of top-tier machine learning models.
• Harness data scraping techniques to extract invaluable insights.
• Design algorithms that enhance data processing efficiency, focusing on optimizing working capital.
• Deploy AI and ML models to bolster cash flow performance, underpinning data-driven decisions.
• Stay updated with technological advancements, translating insights into innovative solutions.
• Troubleshoot and optimize machine learning applications for optimal performance and scalability.
• Leverage expertise to create a 12-month sales forecast based on index trends, aiding strategic planning.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s preferred.
• Proven experience as a Data Engineer or similar role, with a focus on Azure ML.
• Proficiency in data scraping tools and techniques.
• Strong analytical skills with hands-on experience in AI and ML.
• Proficiency in SQL Server for database management and optimization.
• Expertise in Azure Machine Learning for model development and deployment.
• Hands-on experience with Azure Data Factory for data integration and ETL.
• Proficiency as an Integration Developer with a deep understanding of Rest APIs.
• Ability to create sales forecasts based on indices trends.