לוח משרות דרושים בירושלים

A global EdTech (Education Technology) industry, leader. We serve some of the most prestigious academic institutions and research Universities around the world, with a total of over 7,500 customers in 90 countries.

Our SaaS solutions help universities transform academic libraries, maximize the impact of research activities, enhance teaching and learning, and drive student engagement and success. For more information about Ex Libris, see our website, and join us on Facebook, YouTube, LinkedIn, and Twitter.

We are looking for a Software Engineer to join our development team in Jerusalem, Israel. This is an amazing opportunity to work with Ex Libris Alma platform. The team consists of 5 people and is reporting to the Manager, Software Engineering.

What will you be doing in this role?
Rapido is a product that focuses on providing a complete end-to-end resource-sharing experience for Alma customers built upon the Ex Libris-Alma platform.
This position is for a full-stack programmer who will help develop the product.
Hours of Work / More important information for you:
Our base is in the Jerusalem, Israel office, working in a hybrid model
This is a full-time position.

global EdTech (Education Technology) industry, leader.
We serve some of the most prestigious academic institutions and research Universities around the world, with a total of over 7,500 customers in 90 countries.
Our SaaS solutions help universities transform academic libraries, maximize the impact of research activities, enhance teaching and learning, and drive student engagement and success. For more information about Ex Libris, see our website, and join us on Facebook, YouTube, LinkedIn, and Twitter.

We are looking for a Senior Product Marketing Manager to join our team in Jerusalem, Israel. This is an amazing opportunity to work with the Global Marketing team. The team consists of 7 team members and is reporting to the Director, Product Marketing. We have a great skill set in Marketing and we would love to speak with you if you have the skills.

What will you be doing in this role?
As a Senior Marketing Manager at Ex Libris, you'll be responsible for creating effective marketing programs, developing collaterals to promote Ex Libris products, and writing engaging content to raise brand awareness and generate leads.

You will work closely with regional marketing teams to help with campaign execution and with the product teams to increase the adoption and satisfaction of existing customers. Ultimately, you should be able to oversee marketing content initiatives to ensure customer engagement, brand consistency, and a positive customer experience.

A typical day might include the following-
Convert product value proposition to Sales Enablement
Define our solutions messaging.
Produce high-quality content, including blog posts, web pages, white papers, videos, brochures, presentations, and infographics.
Collaborate and engage with customers to create customer stories and facilitate webinars and conference sessions.
Work with the Product team to understand what the latest product updates are and how they should be promoted.
Hours of Work / More important information for you:
Our base is in the Jerusalem, Israel office, working in a hybrid model.
This is a full-time position.

A global EdTech (Education Technology) industry, leader. We serve some of the most prestigious academic institutions and research Universities around the world, with a total of over 7,500 customers in 90 countries.

Our SaaS solutions help universities transform academic libraries, maximize the impact of research activities, enhance teaching and learning, and drive student engagement and success. For more information about Ex Libris, see our website, and join us on Facebook, YouTube, LinkedIn, and Twitter.

We are looking for a Team Lead to join our Content team in Jerusalem, Israel. This is an amazing opportunity to work with a leading team of cataloguers for the Alma and 360 products. The team consists of 8 team members worldwide and is reporting to the Senior Manager, Content Ingestion. So, if you know our product- Alma and you have a great skill set in Cataloging- we would love to speak with you.

What will you be doing in this role?
Oversee day-to-day operations and lead a team of cataloguers
Plan, delegate, and direct the teams day-to-day work to achieve operational targets or objectives with contribution to the immediate results for the team
Identify and plan team-level quality and process improvement initiatives
Deliver consistent and timely training, guidance, and feedback to encourage colleague success

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 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 Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, 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
* 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
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

You are A passionate Network Operations Center Engineer with a deep knowledge of and passion for IT.
Youre highly organized, can solve problems efficiently, and can work under pressure. You enjoy being hands-on and constantly look for new ideas and solutions. Youre a self-learner, proactively learning new technology, and you never stop learning. You think outside the box and dont just work according to protocols and procedures. Youre highly motivated and able to thrive in a fast-paced, high-performance environment, and you enjoy the challenge this presents. You have good time-management skills and can juggle multiple projects at once. You value flexibility, so you can prioritize your personal life without giving up on the technical challenge that drives you to love your career. Youre self-disciplined enough to work remotely and can succeed on your own. We work once a week from the Jerusalem office.
We are The NOC and Monitoring team manages the entire IT environment, from the infrastructure to the application and service levels. We are the IT departments main information center. If anything goes wrong, when patches and backups are released, when new deployments are made, or when Load Testing is performed, we are there and will monitor activity. The team functions as Tier 1.5 support, meaning we also work to fix issues before escalating and documenting them. Our main goal is to be proactive, always think "outside the box," implement creative solutions, and reduce system and service downtime by detecting the problem quicker, solving it faster, and thinking how we can prevent recurrence. You will Operate the monitoring systems, ensuring the stability of the various environments Manage event life cycles: track each event from start to finish, notify relevant people as required, and update related incidents accordingly Perform Tier 1.5 operations when needed to try and resolve incidents as soon as possible Assist in developing monitoring-event knowledge management by documenting helpful information about events and incidents you encounter Assess and prioritize faults and respond or escalate accordingly Collaborate closely with engineering teams.
Why join us:
 our Technologies develops software infrastructure for the fintech industry.
Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, we have 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events. We place a strong emphasis on employee satisfaction and growth.

We are seeking an execution-focused Product Manager to run specific products within our Payments offering (ACH, Wires, FedNow, RTP, etc.). This role will focus on building and managing traditional, fast, or emerging payment rails, designing the Product Strategy, overseeing the buildout of products and processes, defining the target audience, and crafting the go-to-market strategy. The ideal candidate has successfully designed and executed product solutions in the Payments space, specifically b2b or b2b2c API payment platforms. This includes managing regulatory and network compliance, BSA/AML, risk, and operational challenges. You will join an exciting Product team that deeply cares about growing with people who question assumptions, have strong judgement, execute fast, take ownership, act responsibly, help the team advance, and improve standards. Responsibilities
* Own the product development and commercialization  Payments products
* Own the P&L of at least one of Payments products
* Write requirements for Engineers and other stakeholders, run Engineering grooming sessions and standups, as well as coordinate complex execution plans
* Conduct periodic product reviews with stakeholders, oversee regulatory compliance, and adhere to our operating model
* Work cross-functionally to establish requirements and coordinate end-to-end execution
* Champion a client-centric approach, ensuring all product development starts and ends with the client in mind
* Ensure proper governance around initiatives and support audit activities
* Execute go-live strategy with Design, Marketing, Sales, and relevant stakeholders
* Foster a culture of continuous improvement with iteration, retrospectives, and direct communication
* Partner with the data team to develop and maintain tracking and reporting of KPIs

We are The data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various Machine Learning models to provide on-demand analysis. You will Design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets to identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Why join us
Our company develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, the company has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have
* 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 Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f