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we are looking for a Data Science Group Lead.
The Group Lead is a critical leadership position within . This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities:
Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

We are seeking an experienced Linux Systems Administrator to join the team responsible for managing and maintaining our high-performance, multi-user Linux server environment and CI/CD pipelines. This hands-on role is critical to the daily operations of our research and engineering groups. The ideal candidate will possess a strong background in Linux system administration, proficiency in Python for updating and maintaining custom tooling, and the technical capability to provide high-tier support to our engineering users. As a proactive, self-learner individual, you take initiative, work independently, and actively identify opportunities for operational improvement and bring new ideas to the table.
Responsibilities:
Core Infrastructure: Manage and scale our large-scale AWS-hosted Linux server environment, ensuring high availability and performance.
Tooling & Automation: Architect and maintain custom Python-based solutions for automation, internal dashboards, and self-hosted services.
Engineering Enablement: Provide high-level support for our internal users, resolving complex environment and connectivity challenges to keep the team unblocked.
Pipeline Reliability: Own the health and optimization of our CI/CD pipelines (Jenkins/GitHub Actions).
Security & Governance: Proactively manage system hardening, backups, and routine security audits.

We are looking for a visionary Principal Data Scientist to lead strategic research initiatives focusing on our Personal Loans asset class. In this high-impact, individual contributor role, you will be at the absolute forefront of our research department. You will tackle most challenging, long-term research questions, working hands-on to advance our sophisticated models while providing high-level professional leadership and mentorship to data scientists across the group.
Responsibilities:
Act as the technical authority and professional lead for the Personal Loans research group, setting the standard for scientific rigor and innovation.
Spearhead complex, long-term research initiatives that address fundamental challenges in credit risk, behavioral modeling, and portfolio optimization.
Develop cutting-edge Machine Learning models and algorithms from scratch, moving from high-level hypothesis to production-ready solutions.
Design multi-domain Data Science solutions for the companys core mission, identifying untapped opportunities within our vast datasets.
Mentor senior and staff data scientists, advising on methodology, experimental design, and technical roadblocks without the overhead of people management.
Partner with Product, Engineering, and Finance stakeholders to align long-term research goals with strategic business roadmap.

We are looking for a Senior Data Scientist to lead strategic research initiatives . This individual will be at the forefront of research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities:
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team

We're hiring a Mobile Team Lead to own the AppHarbr SDK, our mobile division that gives publishers real-time control over ad quality across iOS and Android.

We are looking for an experienced Mobile Team Lead to take full ownership of the AppHarbr SDK across iOS and Android. This is a hands-on technical leadership role, you will spend the majority of your time making architectural decisions, setting technical direction, and driving cross-functional execution across a team that includes offshore contributors, while writing and reviewing code. This is a team that moves with the tools available to it, AI-assisted development is part of how we work, not a future aspiration.

The SDK runs inside production apps across millions of devices, operating in real time alongside a continuously evolving ecosystem of third-party mediation layers and ad networks. Reliability, backward compatibility, and runtime performance are baseline expectations, not aspirational goals.

Responsibilities

Technical
Architect and develop high-performance, multi-threaded SDK code across iOS and Android.
Drive platform technical decisions, performance optimizations, and deep research into OS internals and third-party SDK behavior.
Own SDK stability across the full compatibility matrix, OS versions, devices, and mediation integrations.
Lead complex debugging efforts, reverse-engineer third-party integrations, and resolve integration issues for internal and external stakeholders.
Define and enforce best practices in testing, code quality, and CI/CD workflows.
Handle billions of impressions across millions of devices every day, maintaining a robust and scalable system at significant traffic scale.
Leverage AI-assisted development tools to accelerate code generation, debugging, and SDK analysis, and set the standard for how the team adopts them effectively.

Leadership
Lead, mentor, and grow a cross-platform mobile team including offshore contributors.
Own the AppHarbr domain end-to-end, translate product and business goals into technical execution.
Act as the primary technical point of contact across Product, Backend, QA, Customer Success, and external partners.
Conduct code reviews and provide ongoing technical guidance to raise the bar across the team.

Join us as a System Engineer AMS, where you will be at the forefront of designing and implementing advanced communication systems. You will play a critical role in ensuring system performance and reliability.

Responsibilites
Overall responsibility of the development of complex Airborne Communication systems.
Lead the System level architecture of complex systems, and be an expert in the System, Software and Hardware specifications.
Coordinating internal R&D resources and third parties/vendors for the flawless execution of projects.
Conduct system integration and troubleshooting to resolve technical issues.
Ensure that all projects are delivered on time, within scope and within development budget.
Matrix structure management of Hardware, Software, Mechanics and Verification teams for several projects in parallel - different requirements, use cases and customers.
Lead an internal and external design reviews, pre and post sales activities with various customers.

We are looking for a Backend Software Engineer to join our team. In this role, you will help us drive the Kusto revolution and make it THE technology for log search and analytics across the world. You will have the opportunity to work on evolving the RTI solution in our company Fabric with a goal to redefine the real-time data market.
Responsibilities
Design, develop, and improve cloud-native services that are scalable, secure, and easy to operate.
Drive architectural decisions and lead the development of major components in a distributed, high-SLA system.
Collaborate with cross-functional teams in ILDC and abroad to deliver end-to-end solutions.
Conduct code and design reviews and mentor junior engineers to grow technical excellence across the team.
Help shape the future of real-time analytics in our company Fabric RTI, with customer impact as your north star.

We are looking for a skilled TEST Environment Support Engineer to ensure the availability, stability, and proper operation of TEST environments, focusing on infrastructure and core system components. This role requires experience in monitoring, troubleshooting, infrastructure integrations, DevOps processes, databases, cloud environments, and collaboration with infrastructure, communication, DevOps, and development teams. A full-time hybrid position based in Central Israel, with 1 day a week remote. Key Responsibilities:
* Monitor the availability and stability of TEST environments on an ongoing basis.
* Identify, investigate, escalate, and support the resolution of infrastructure issues affecting environment availability.
* Coordinate with infrastructure, communication, DevOps, and development teams to resolve issues.
* Track system events and their impact on testing activities.
* Support version deployments and maintenance activities that impact the environment.
* Document issues, exceptional events, and maintenance activities.
* Monitor availability metrics and ensure compliance with SLA targets.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.


What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

we are looking for a Senior Software Engineer \ Search Engineer (Elasticsearch & Vector Search)
What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

We are looking for an experienced hardware-oriented technical writer to join our team. In this role, you will be responsible for creating clear, structured, and visually rich technical documentation for hardware products. This includes working closely with hardware teams and subject matter experts to gather and validate technical information. You will produce documentation in traditional formats (PDF, end-to-end documents), aligned with customer requirements and company standards.

Responsibilites
Create and maintain technical documentation for hardware products, including 3D models, installation and deployment procedures, and maintenance guides.
Document part replacement processes and related software procedures.
Work closely with hardware teams and subject matter experts (SMEs) to gather and validate technical information.
Produce clear, structured, and visually accurate documentation aligned with company standards.
Develop diagrams and flowcharts to support technical content (e.g., using Visio).
Prepare documentation in traditional formats (PDF, end-to-end documents).
Ensure consistency, accuracy, and adherence to style guides.
Participate in collaboration, reviews, and continuous improvement of documentation processes.

Responsibilities
Formulate and investigate applied research questions in large language models, agentic AI, and machine learning for real-world spreadsheet scenarios.
Design and implement experiments, prototypes, and model or agent improvements, including prompt optimization, fine-tuning, post-training, retrieval, and tool-use approaches.
Build and curate representative datasets, benchmarks, and evaluation methods that measure task quality, reliability, latency, and efficiency.
Analyze model and agent behavior using quantitative metrics and qualitative error analysis; identify failure modes and translate findings into actionable improvements.
Collaborate with applied scientists, engineers, and product partners to integrate promising research ideas into our company 365 Copilot in Excel experiences.
Communicate methods, results, limitations, and recommendations clearly through technical documents, presentations, and peer reviews.