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We are looking for a C++ Team Lead Linux.
Responsibilities:
Be a leading developer in your team (%50 hands-on).
Lead a development team of 2-5 strong developers, in a company creating high-end automatic financial trading systems.
Be responsible for a project, including direct connection with the customer.
Challenging and fascinating work environment.

We are looking for a Project Manager.
Responsibility will include:
Manage 2-3 project, each is a world-class customer
Be responsible for customer communication, gathering requirements and managing delivery timelines
Communicate and co-manage development and QA teams in Israel and Ukraine
Present project status reports to management.

Be part of a team of strong developers, in a company creating high-end automatic financial trading systems for global Tier 1/2 banks.
Looking for a C++ expert to join a challenging and fascinating global hi-tech work environment.
Work from office (bus/train station - Jerusalem)

As a Tier 3 Support Engineer, you will be responsible for managing global customer technical issues, overseeing internal escalations, maintaining the knowledge base, providing product feedback, and leading support-related projects.
Responsibilities:
Monitor the operational performance of financial systems.
Take ownership of technical issues and provide tier 2/3 support for major financial clients.
Handle complex investigations and debugging, particularly in code for FIXation issues.
Implement configuration modifications and thoroughly document troubleshooting and resolution steps.

We are looking for a top-notch machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
About us:
We are revolutionizing manufacturing paradigms with specialized deep reinforcement learning algorithms developed by world-class machine learning scientists. At this very moment, facilities of multiple Fortune-500 companies across the world are being optimized by us, enjoying hundreds of millions of dollars in incremental value. The company was founded by award-winning scientists, elite IDF tech unit graduates, and serial entrepreneurs. It is backed by top venture capital firms.
We are looking for:
You, a top-notch machine learning research engineer, to join our CTO office, and lead complex deep learning research and deployment activities. This is a one-of-a-kind chance to be on board an extremely successful startup, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning.
As a machine learning research engineer at our CTO office, you will:
Conduct long-term open-ended research that enhances and expands our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our core technology to develop and deploy tailored solutions to clients.

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.

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

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

We are looking for a FullStack Developer for our Jerusalem team! The company leads the market by adopting innovative technologies & providing top-notch development solutions, and now we are looking for you - a JAVA Developer to join our talented software engineering team Responsibilities
* Develop services using C #.Net Core.
* Create application requirements and project documentation using top-notch client technologies with Angular.
* Be involved in team architectural discussions.
* Solve complex problems, create object models, define APIs, build web services, etc.
* Work directly with others (developers and internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed.

Who We Are:
Were building the best banking and technology products for FinTech's, all through APIs.
As venture-backed pioneers of the platform-based financial services model known as the sponsor, or partner, bank, we work closely with our partners to offer products such as payments rails and loan origination services to the latest in regulatory and compliance solutions. What drives us every day?
A desire to innovate in the service of financial inclusion. Giving access to consumers, whether they are looking for credit or for a better way to pay has been in our DNA from day one. Our nimble, adaptive, one-step ahead culture is powered by our people, and as a result of their creativity, tech-forward thinking and collaborative spirit, we are experiencing explosive growth.
What were looking for our Technology team is made up of problem solvers hungry to perfect new products and systems.
As the Senior AWS and Database Engineer you play a key role. You will keep the databases up and running in AWS and On-Prem. You will be a key architect of our constantly evolving AWS environment, assist with automation, help develop the CICD process for all DB changes in AWS (using Terra Form and other tools in Amazon eco- system ), assist with cloud migrations, cost optimization, backup strategy, and more. You will also help cement the PostgreSQL and other Open-Source databases and components in the group. The Technology team cares about results, not activity, and we have fun doing it. If you like challenging problems, are analytical, and a great team player we want to hear from you! 
Why join us?
We 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 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.