We are Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion. We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team. You Are We are the Data Science team, focused on regulatory compliance. Our work primarily focuses on Fair Lending and Anti Money Laundering by assisting the relevant teams with detailed analysis and/or machine learning models. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations. Our team uses SAS, Python and various machine learning algorithms to provide on-demand analysis. You are detail oriented with an analytical, logical way of thinking, and are passionate about making data driven decisions. This is an open role for a new member of the AML Data Science team responsible for performing analysis on data focused on Anti-Money Laundering (AML/CFT), interpreting results and developing actionable insights to accelerate operational excellence and demonstrate compliance. You will
* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

Work from the Jerusalem office:
Flexible hybrid work mode of 3 days a week in office Join us in Jerusalem’s high-tech park in Har Hotzvim, where fresh air and green landscapes surround our Cross River offices, designed for optimal comfort and productivity. Enjoy thoughtfully designed meeting rooms, cozy lounge areas, and a fully equipped kitchen. With our flexible hybrid model, including three days a week in the office, you can balance work and personal life with ease. We’re committed to your professional growth, offering continuous learning opportunities, mentorship programs, and a dynamic environment that fosters innovation and career advancement. Become part of a team that values your contributions and supports your well-being.

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 ongoing learning and developme

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.

Flexible hybrid work mode of 3 days a week in office.

Who We're Looking For - The Dream Maker We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation , leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring
* Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
* Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
* Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
* Own projects end-to-end - balancing short-term wins with long-term strategy.

Were looking for a talented Senior Data Scientist to join our Business Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends, and help us optimize the impact of our marketing budget spend, both in the B2B and B2C areas. This is an exciting opportunity to make an impact!
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. As communication and collaboration with different teams and stakeholders is a part of our day to day, we are looking for a team player.
What you will be doing
Lead end-to-end DS projects - from identifying business needs with stakeholders, to research, evaluation, production implementation, and monitoring.
Collaborate with diverse teams - marketing, finance, BI, ML Infra. effectively communicating insights and understanding various business aspects.
Address diverse problems across domains
Tackle challenges related to data, model assumptions, business needs limitations, and production

Were seeking an LLM-Solutions Engineer to join our AI Lab & Internal Tools team. In this role, youll focus on leveraging language models alongside other generative models to create innovative solutions, prototypes, and tools that enhance creativity and productivity across our products. Youll work closely with cross-functional team members to develop workflows, integrate LLMs into projects, and ensure their seamless functionality within the teams experimental projects and tools.
Success in this position will require a strong mix of the following qualities: resourcefulness, independence, self-motivation, technical expertise, creativity, solution orientation, high energy, and passion.
What you will be doing
Design and implement solutions using LLMs, including prompt engineering, fine-tuning, and integration into workflows.
Build and optimize LLM-powered features to enhance creative workflows and automate internal processes.
Collaborate with Creative AI Specialists and the team lead to develop AI prototypes and tools that bring value to users and the team.
Experiment with emerging AI technologies to identify new opportunities and applications.
Translate complex AI capabilities into practical, user-friendly solutions.
Work with dedicated developers to ensure smooth integration and scalability of LLM-based features.

The Core Generative AI team at our company is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

Our ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML and Gen AI models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
Your day-to-day job will involve
Take a key role in designing and building our ML platform, working closely with our devops engineers, researchers and product engineering teams.
Design and develop reliable and scalable production core services that are used by millions of users of our apps every day.
Brainstorming feature design, system architecture improvements and troubleshooting.
Work with cross-functional teams across our company to understand their needs and translate them into platform capabilities.
Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
Write clean, maintainable and testable code, and inspire others to do the same