Software Engineering Lead - Svp jobs at Citi Group in Israel, Nes Ziona

The Research Sr Associate is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.Responsibilities:

• Citi Research focuses on delivering high quality investment insights to investors on a global basis with a high emphasis on independence and objectivity in its products and insights
• The unit produces regular written research, hosts investor meetings with company management teams, holds conference calls with industry consultants and regularly communicates with clients (both internal and external)
• Modeling: Maintaining & updating existing company models; creating new models; maintaining relative value sheets
• Research: Assist with the publication of earnings previews/recaps, initiation reports, deep dive notes as well other group products
• Communication: Assist with client inquires and requests (internal and external)
• Events: Assist with coordination of investor meetings (management meeting & field trips) and conference calls with consultants
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 3-5 years previous experience.
• MBA or graduate degree and/or CFA preferred.
• Experience in Equity Research.
• Good knowledge of accounting and modelling.
• Experience in supporting senior equity research analysts.
• Excellent inter-personal and writing skills.
• Attention to detail.
• Secure and maintain applicable licenses.

Education:

• Bachelor’s/University degree or equivalent experience

Anticipated Posting Close Date:

The Citi Innovation Lab is a leader in creating new ideas, innovative technology solutions, and ground-breaking innovations for Citi's global banking business. We're part of a global network of innovation centers, and our mission is to create competitive advantage for our clients by providing innovative technological solutions.

The role:

You will take part in the implementation of new and strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine tune, data curation, data labelling and more.

Key Job responsibilities:

• Design and implement Gen AI platform components, using Python and modern microservices.
• Drive engineering and operational excellence and best practices.
• Collaborate with tech, product, program and business peers to deliver customer value and drive product vision.
• Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
• Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning
• Analyze complex problems, identify and define the requirements to solve them.
• Apply DevOps principles to maintain high-performance and scalable AI systems.
• Design and implement secure APIs, ensuring data protection and secure interaction with AI models.
• Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team
  

Experience & Qualifications

• Academic degree in Computer Science or equivalent
• 6+ yearsof experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems
• Proficiency in Python python libraries and modules
• Experience with Kubernetes -based continuous delivery, utilizing Jenkins , Tekton , and Docker to automate and streamline deployments
• Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine tuning , inference and more – Bi g advantage
• experienced with Gen AI related python libraries and modules - Bi g advantage
• Excellent problem-solving and analytical skills
• Proficiency in Git for version control and collaboration in development workflows
• Experience in Java/GO – An advantage
• Expertise with Oracle and vector databases (e.g, PostgreSQL) for data storage and retrieval – an advantage
• Excellent interpersonal skills, team player with strong communications skills
  

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

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Job Description:

We are seeking a highly skilled Generative AI Lead with hands-on development/ software engineering experience to play a critical role in leading the software development of Generative AI solutions at the Citi Innovation Lab. In this role, you will be a crucial driver of innovative projects throughout the bank, utilizing Generative AI models.

Key Responsibilities:

• Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team.
• Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques and software development.
• Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
• Model Delivery to Production: Take a hands-on approach to ensure AI models, APIs and websites are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
• Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives.
• Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
• Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
• Stakeholder Engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation.
  

Skills & Qualifications:

• In-depth knowledge of Generative AI models (proprietary/ open-source), platforms, major software libraries and frameworks.
• Extensive experience in software development, delivering complex solutions to production.
• Strong proven delivery track record.
• In-depth knowledge of multiple programming languages, testing frameworks and Agile software development.
• Excellent problem-solving skills and the ability to think creatively.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience in high tech or financial industry is beneficial but not mandatory.
  

Time Type:

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