Millennium

Quantitative Researcher Millennium is one of the leading global hedge funds, managing over $85B, with more than 6,500 employees and offices worldwide. Founded in 1989, we employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies, producing consistent performance for our investors for over 30 years. We are strongly committed to leveraging innovations in technology and data science to solve complex and challenging problems, putting us at the cutting edge in our field. We are looking to expand our Quant Modelling team which is building the next generation of in-house analytics and trader support tools. This team will develop and maintain the models and pricing libraries to support trading in Fixed Income, Commodities, Credit and FX derivatives, leveraging state-of-the-art mathematical modelling and financial and software engineering methods to provide our traders with the best analytics and support tools in the business. Candidate will need to have strong mathematical foundations (probability, statistics, linear algebra and calculus) to understand, implement and develop financial pricing models and analytics. A deep and passionate interest in Finance is essential for success in this role. This is a singular opportunity to join one of the top hedge funds in the world and enter the fast-growing and dynamic world of global Finance, learning from the best in the field how it is done at the highest levels. No prior experience in finance is required. We generously reward hard work and outstanding performance, offering a unique opportunity for personal growth and building one’s career path in the lucrative and exciting world of global finance. We offer a dynamic environment and a culture that nurtures learning and growth, with excellent international opportunities. Responsibilities: • Develop fixed-income and cross-asset pricing and risk analytics for our in-house pricing library. • Develop pre-trade analysis tools for Portfolio Managers. • Help maintain and enhance our C++ financial analytics library and derivative pricing and risk framework. Mandatory Requirements: • M.A. degree with a strong quantitative training such as Math, Physics, Computer Science or Electrical Engineering with high grades (candidates with an exceptional B.A. degree will be considered if they have at least 3 full years of relevant work experience) • 3 years programming experience and good knowledge of complexity and data structures. C++ knowledge is preferred but Java or Python are also acceptable. • Strong analytical and mathematical skills • Very strong English written and verbal skills. It is essential the candidate can clearly and fluently communicate in English • Solid communication skills. • Able to work independently in a fast-paced environment. • Detail oriented, organized, demonstrating thoroughness and strong ownership of work Additional valuable skills (nice to have): • Experience with financial mathematics and derivative pricing. • Experience in the financial industry • A PhD degree

Cloud Engineer Job Description About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Meet the Team Core to the health and growth of our business, Millennium’s Information Technology organization supports a dynamic, multi-manager platform with flexible, scalable technology and advanced proprietary systems. The Google Cloud Engineering team builds and supports core cloud infrastructure in Google Cloud Platform, enabling modern engineering, automation, and cloud-native services across the firm. Our Israel office is located in the Bursa area of Ramat Gan. This role will be on-site. As a global firm, proficiency in English is required. What You'll Do • Design and implement end-to-end cloud solutions in Google Cloud Platform that are scalable, reliable, and aligned with business and technology objectives • Build, automate, and support core cloud infrastructure and dependent environments, with a hands-on focus on production-ready code and infrastructure operations • Partner with infrastructure teams and collaborate with developers, data scientists, machine learning engineers, quantitative analysts, and portfolio managers as a technical SME and solutions architect • Lead infrastructure initiatives from design through deployment and ongoing support, ensuring seamless integration, consistency, and strong performance across environments • Integrate AI tools and agentic systems into the cloud environment, including improving response quality and supporting production AI workflows • Deploy and support AI/ML models and related MLOps capabilities in cloud environments based on team and organizational needs • Implement and maintain CI/CD pipelines, infrastructure as code, monitoring, logging, metrics, and alerting to improve operational efficiency and service uptime • Strengthen platform security through audits, engineering best practices, and resilient controls, while contributing user-focused insights to improve internal and customer-facing solutions What You Bring • B.Sc. in Computer Science • 4+ years of hands-on DevOps and/or MLOps experience designing, deploying, and supporting production cloud environments • Strong cloud engineering expertise, including scalable multi-service architectures, complex networking, and production infrastructure design • Proficiency in Python and solid programming experience in Go or Java • Deep experience with CI/CD pipelines, observability, and automation, including tools such as GitLab CI or Jenkins • Strong command of Infrastructure as Code and configuration management tools such as Terraform, Ansible, and Helm, along with Linux administration and network troubleshooting • Understanding of cloud security principles and experience working with cloud networking components such as routing, DNS, VPCs, proxies, and load balancers • Strong communication, troubleshooting, and collaboration skills; experience working with customers and cross-functional teams; proficiency in English is required

Machine Learning Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Our Israel office is located in the Bursa area of Ramat Gan. This role is on-site. As a global firm, proficiency in English is required. Meet the Team The Information Technology department is core to the health and growth of Millennium’s business. Supporting the firm’s active, multi-manager model, the team develops flexible, scalable technology and advanced proprietary systems, including next-generation analytical, trading, and AI capabilities. Based on-site in Millennium’s Israel office in the Bursa area of Ramat Gan, the team builds and evolves enterprise technology platforms that enable innovation across the firm. What You'll Do • Lead the development of AI and machine learning capabilities within the infrastructure group across multiple applications. • Transform rapid prototypes into production-grade AI and machine learning systems that deliver measurable business value. • Identify repeatable patterns and technical friction points across Millennium’s AI stack, translating them into reusable capabilities such as LLM routing and dedicated-hardware inference optimization. • Design and implement scalable AI infrastructure that supports federated agent development and distributed deployment across the organization. • Orchestrate AI agents across distributed systems and service buses, ensuring generated code aligns with enterprise architecture standards and best practices. • Build high-performance evaluation pipelines and observability frameworks to assess agentic systems against rigorous accuracy, safety, and latency requirements. • Advance the adoption of AI-augmented development practices by providing technical leadership and integrating AI-powered tools into engineering workflows and CI/CD pipelines. • Partner directly with teams across the firm to teach AI infrastructure best practices and guide successful adoption. What You Bring • Bachelor’s degree with 6+ years of experience, Master’s degree with 4+ years of experience, or PhD with 2+ years of experience in Computer Science, Data Science, Machine Learning, or a related field. • Experience building or operating AI/ML infrastructure, agent orchestration platforms, or comparable AI-powered development tools. • Proficiency in Python and PyTorch or a similar deep learning framework. • Strong understanding of enterprise software architecture patterns and distributed systems design. • Production experience with Docker, Kubernetes, and container orchestration. • Strong communication and teaching skills, with the ability to partner effectively with teams across the organization as a deployed engineer. • Experience with cloud platforms such as AWS, Azure, or GCP; infrastructure-as-code tools; and MLOps practices, including model training, versioning, deployment, monitoring, drift detection, and performance optimization. • Experience building agentic AI systems using frameworks such as LangGraph, LangChain, or PydanticAI, including LLM integration, tool calling, structured outputs, MCP implementations, vector databases, embedding pipelines, and retrieval-augmented generation architectures.

AI Data Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Our Israel office is located in the Bursa area of Ramat Gan. This role is on-site. As a global firm, proficiency in English is required. Meet the Team Core to the health and growth of our business, Millennium’s Information Technology organization develops the flexible, scalable technology and advanced proprietary systems that support the firm’s multi-manager platform. The Core AI Development Team focuses on the engineering environment, data pipelines, and AI systems that help the firm apply Large Language Models in daily workflows, including enterprise retrieval and document intelligence capabilities. What You'll Do • Design, build, and maintain scalable ETL and data ingestion pipelines that move documents from diverse source systems, including file shares, object stores, APIs, and databases, into the firm’s AI platform. • Develop robust document understanding workflows, including parsing, layout analysis, OCR, text extraction, metadata extraction, and normalization across heterogeneous formats such as PDF, Office documents, HTML, and images. • Implement chunking, cleaning, and enrichment strategies that improve retrieval quality and support downstream RAG systems. • Build change-detection, deduplication, and incremental update mechanisms to keep large document corpora synchronized efficiently and reliably. • Engineer pipelines for correctness, throughput, and resilience, with strong handling for malformed inputs, large files, and high-volume processing. • Establish data quality checks, observability, and metrics so ingestion issues are identified early and resolved quickly. • Partner with stakeholders to understand source systems and content requirements and translate them into reliable, production-ready ingestion solutions. • Stay current with advances in AI, LLMs, document AI, and retrieval techniques, and apply relevant improvements to the team’s solutions. What You Bring • 4+ years of experience and strong proficiency in Python, including building data pipelines, services, and APIs. • Hands-on experience designing and developing ETL and data pipeline solutions, including processing large data volumes. • Experience with document processing and text extraction, including PDF and Office document parsing, OCR, and unstructured content handling. • Solid understanding of data modeling, transformation, and data quality best practices. • Experience designing, building, testing, and debugging high-performance, reliable systems. • Clear communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. • Familiarity with RAG systems and the impact of ingestion on retrieval quality, including chunking strategies, embeddings, and vector stores, is a plus.