Jobs in Ramat Gan

Description We are looking for a motivated Automation Developer Student to join our team and help us scale our test automation. You will expand our existing Python-based integration test framework, covering our server-side APIs, services and databases. Working closely with QA engineers and developers, you will build reliable, comprehensive automated tests that replace manual QA checks, shorten our release cycles and directly improve product quality. What You'll Do: Develop and extend automated tests within our existing Python integration test framework Translate features, user flows and QA test plans into clear, complete and reliable automated test scenarios Write integration tests covering APIs, backend services and databases Collaborate closely with QA engineers and developers to make sure automated tests are thorough enough to replace manual testing Maintain and improve existing tests, investigate failures and help keep the test suites stable and trustworthy Use AI tools to work efficiently and keep improving how the team builds and maintains tests Requirements You'll Do It Using: Currently pursuing a B.Sc. in Computer Science or Software Engineering, with at least 3 semesters left to graduation and a GPA of 80 or above Hands-on experience with Python or a similar backend language (e.g., Java, C#, Go) Practical experience using AI tools effectively for coding Advantages: Experience with Pytest Experience with REST API testing Familiarity with Git, CI/CD or SQL You'll Excel By: Learning quickly and independently, and taking ownership of your tasks Being a true team player who enjoys working closely with QA and developers Bringing a curious, structured and proactive approach to problem solving Communicating clearly and professionally, and asking the right questions Caring about quality and thinking about the edge cases others might miss Position Intro Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Description Shield is a global startup, with offices in TLV, NYC, LDN, and LIS. We’re growing and looking for another important piece of the puzzle. Is it you? We are looking for a sharp, detail-oriented student to join our Data Science team for a limited-term engagement. If you have a finance background, speak multiple languages, and enjoy digging into data, this is for you! Let’s get down to business: About the Role Shield FC is a leading innovator in the financial compliance space, serving some of the world’s largest banks and financial institutions. We help these organizations meet regulatory obligations by monitoring vast volumes of employee communications. Our Data Science team builds NLP and LLM-based solutions that detect rare and subtle indicators of suspicious behavior hidden in massive streams of text. High-quality annotated data is the foundation of everything we build, and that’s where you come in. As a Data Labeling Specialist, you’ll use your financial and linguistic expertise to label, review, and analyze real-world communication data, directly shaping the accuracy of our models. What You’ll Do • Annotate and label financial communication data (text, and potentially transcribed audio) according to defined guidelines and taxonomies • Apply your financial knowledge to identify and classify relevant terminology, context, and potentially risky behaviors • Work with data in multiple languages, ensuring consistent and accurate labeling across them • Analyze annotated datasets to identify patterns, edge cases, ambiguities, and quality issues • Provide feedback on annotation guidelines and help refine them • Review and validate annotations for consistency and quality • Summarize your findings and insights for the Data Science team • Collaborate with data scientists and domain experts to improve data quality and model performance Additional Details: • Part-time, fixed-term temporary contract (approximately 100 hours per month) • Duration: 3 months • Location: 3 office days per week in our Ramat Gan office Requirements Requirements • Currently enrolled in a BA/BSc or MA/MSc program in Finance, Economics, Business, Accounting, or a related field • Fluency in English and at least one additional language: [Spanish, German, French, Portuguese] • Strong understanding of financial concepts and terminology - Financial markets experience (or education). • Exceptional attention to detail and a high level of accuracy • Strong analytical skills and the ability to spot patterns in data • Ability to follow detailed guidelines while using sound judgment on ambiguous cases • Ability to commit to 100 hours a month for 3 months, working 3 days a week from the office • Team player Advantages - • Familiarity with financial compliance, regulation, or market surveillance • Experience in a large investment bank front office environment is a huge advantage • Experience in compliance for top tier investment bank is a big advantage • Basic experience with Python, SQL, or data analysis tools • Previous experience in data annotation, labeling, or research • Interest in AI, NLP, and LLMs