We are looking for a Senior Backend Engineer for Research.
Our ideal candidate is someone with a systematic problem-solving approach, coupled with strong communication skills, a sense of ownership and drive. Someone who is as passionate as we are about the craft of software engineering and system architecture, and understands the challenges of building complex backend systems.
Someone who believes in writing resilient code and reliable infrastructure, but can still appreciate the realities of business and can deliver on a tight schedule in a fast-paced environment.
An individual who loves learning, understands the value of teamwork and cherishes the feedback of other talented engineers.
Responsibilities:
Take a key role in designing and building our ML platform, working closely with our devops engineers and researchers.
Design and develop reliable and scalable production core services that are used by millions of users of our apps every day.
Improve our platforms reliability through mechanisms like testing, automations and monitoring.
Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
Develop modules and tools to ease the development and deployment processes for our platform users.
Write clean, maintainable and testable code, and inspire others to do the same.
Conduct code reviews.
Practice sustainable incident response and blameless postmortems.

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

Are you interested in working in an agile environment supporting and delivering industry-leading field service mobile applications and services?

Youre a talented, remarkable, and ambitious DevOps Engineer with good skills in Back end development? Come join us!

As a Senior DevOps Engineer, you will ensure the reliability, availability, and scalability of our infrastructure, applications, and services. You will work closely with our development and operations teams to ensure our systems are optimized for performance and security.

The role
You will be in charge of:
- Managing AWS or other equivalent cloud provider infrastructure.
- Managing and operating GitHub / Bit bucket repositories and Docker
images.
- Support and troubleshoot the engineering / research teams with AWS and
GitHub issues.
- Setting up, maintaining, and deploying tools and products to various
distributed systems.
- Managing and enforcing our infrastructure security.
-Position in our office at Jerusalem.

The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).
The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers. We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.


What You'll Be Doing:

* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.
* Collaborate with fellow team members on exciting and challenging projects.
* Use state of the art tools to achieve high and robust performance.
* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.
* Deploy and maintain your researched ML Models at scale within our cloud environment
* Implement the MLOps philosophy in everything you do.
* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.
* Constantly search for data driven value propositions for our clients.
* Constantly improve our models quality, and performance.
* Desire to continually keep up with advancements in data science practices.

Imagine what you could do here, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Hardware products.
The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it.
Join us to help deliver the next groundbreaking
product. Are you passionate about changing the world?
We are looking for you to join our emulation team focusing on the creation, deployment, and support of advanced emulation environments.
In this highly visible role, you will be at the centre of a chip design effort collaborating with all disciplines, with a critical impact on getting functional products to millions of customers quickly.
As a senior emulation engineer, you will have the responsibilities as follows: Work closely with emulation, architecture and verification teams to create and enhance emulation environments.
Work with the leading emulation vendors to debug issues and deploy new capabilities. Develop new emulation workloads and platforms to enhance user productivity .
Develop high performance emulation models and transactors in system Verilog and C/C++ .
Support multiple emulation environments using the latest emulation techniques Root cause failing SoC/Processor tests and emulator environment issues.

Were looking for a talented IT Software Developer to join our IT Department - Business Applications Team.
Someone who has a passion for Web development as well as UI/UX. Who has a desire to work in an enterprise and global environment.
In this position you will use your expertise in developing internal systems, and will be working closely with IT & Ops Managers, Finance, HR, business owners, designers and other development teams to gather new requirements and implement new features.
What you will be doing:
Brainstorming feature design, system architecture and troubleshooting.
Writing clean, maintainable and testable code, and inspiring others to do the same.
Full ownership of the technology stack including infrastructure and production-readiness of key systems.
Identifying and implementing software engineering best practices.
Work with CI/CD pipelines to deliver frequent and high quality features.
Applying best practices of resilience and observability

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.