לוח משרות דרושים בירושלים

Requirements:
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a highly quantitative field - Must (Advanced degree an advantage)
3+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning
Strong technical proficiency in data science tools and programming languages such as Python, R, SQL, with experience in developing predictive models and machine learning algorithms.
Strong knowledge of advanced analytics and machine learning techniques such as Regression and Classification algorithms, including linear and logistic regression, random forest and gradient boosting, k-nearest neighbors, support vector machines (SVMs) and other techniques
Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
Experience working with large-scale datasets
Ability to communicate findings and recommendations to stakeholders
Strong problem-solving skills while paying attention to detail
Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities simultaneously
A Bonus:
Experience with Fair Lending analytics preferred
Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
Experience in the financial service sector including lending products or credit risk management preferred
Experience with data visualization tools such as Tableau and Power BI an advantage
Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage.

Requirements:
5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports - Must
Strong analytical skills, with the ability to analyze complex data sets, draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
Knowledge of data visualization best practices, including design principles, usability, and accessibility standards - Must
Familiarity with programming languages such as Python or R for data analysis and visualization
Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
Strong attention to detail, with a focus on data accuracy, completeness, and reliability
Ability to work independently and as part of a team in a fast-paced environment
Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges
A Bonus:
Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
Certification in business intelligence, data analytics, or related field an advantage
Experience in the financial service sector an advantage
Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
Experience with data modeling, data warehousing, and ETL processes an advantage
Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage.

Requirements:
Minimum of 10 years of experience in architecture and administration of software technologies and solutions with a minimum of 5-7 years of experience in architecting and administration in Microsoft Dynamics 365 CRM, Power Automate, Power Apps, SharePoint, and MS Teams - Must
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Experience with implementing changes to Dynamics 365 CRM front end through customization and configuration - Must
Experience with D365 Dataverse, PowerApps (model driven), automating business processes with Power Automate - Must
Understanding and practice of solutions development methodologies (e.g., DevOps, Agile, Software Development Lifecycle, etc.) - Must
Experience building relationships with internal customers and stakeholders
Prior work experience as a Business Analyst or Systems Analyst capturing, analyzing, and translating business requirements, specifications, processes, and business cases
Creative thinking with the ability to multi-task - Commitment to ongoing professional development
Familiar with Common Data Service (CDS) and the Common Data Model (CDM) - Implementations, D365 Upgrades, Migrations, Installation, End-User Training, User Training, IT/Admin Training, Pre, and Post Go-Live Support
Strong data quality and management skills, to ensure data integrity, carrying out data cleaning, improvements and de-duplication and understand, report and seek to rectify data quality issues
Good understanding of CRM reporting to create dashboards/views/reports to meet business requirements
Experience with modifying and maintaining system customization to business processes, workflows, and dialogs; templates; lead nurtures and email sends; fields and forms; among other possible customizations
Experience serving in a primary support role for a Microsoft Dynamics environment to include system backup, maintenance, patch updates, error logs, and release management
Good working knowledge of SQL server and ability to query in SQL
Provided user support as necessary within an organization and acted as first line support and point of escalation for support team
Assist with user documentation and troubleshooting of technical issues with the platform
Been involved in supporting a user training program - to enable other colleagues to support and learn how best to use the system
Knowledge of how to manage and maintain user permissions, security roles and security teams
Strong interpersonal skills and ability to be able to work comfortably with both technical and nontechnical stakeholders
Ability to respond in a flexible and adaptive manner to support business requirements, when ad hoc requests are made.

Requirements:
Strong prior managerial experience of more than 5 years managing a team of 6+ engineers.
Exquisite brokering skills: regularly achieve consensus amongst departments
Proficiency in the English language with excellent written and verbal communication skills. Sufficient for achieving consensus and success in a remote and largely asynchronous work environment.
Demonstrated progressive experience in a leadership role with current technical experience.
You have professional experience with containerization or similar technologies in large production environments.
Experience managing infrastructure in a Cloud-native environment.
Track record of carrying a teams technology to the next level, by make measurable and tangible improvements to the business and development life-cycle
You share our values, and work in accordance with those values.
Bonus:
Experience building high-volume and high-throughput distributed systems for product-minded organizations.
Experience in fintech or other complex financial infrastructure companies
Experience working in a global, distributed, or otherwise multi-cultural team.
Experience scaling a successful SaaS product.
Computer science education or equivalent experience.