Jobs at Lombard Odier Group

Supports operational excellence across Front Office, Operations, Technology, and BPO clients. Coordinates issue resolution, analyzes operational risks and service trends, identifies process improvements, contributes to system and operational change projects, and promotes cross-functional knowledge sharing. The role requires banking operations experience, strong analytical and communication skills, French and English fluency, and residence in Switzerland or willingness to relocate.

Provides personalized investment advice and portfolio management to private clients in North Asia. Responsibilities include monitoring advisory portfolios, recommending asset allocations and investment ideas, conducting portfolio reviews, presenting market views, supporting private bankers with client acquisition, and helping expand advisory services. Requires extensive knowledge of financial markets, investment solutions, risk management, and strong client communication skills in a private banking environment.

Leads strategic HR transformation initiatives from design through implementation, covering organizational effectiveness, operating model design, process improvement, workforce programs, and HR digitalization. The role structures complex challenges, develops data-driven recommendations, manages project governance, risks, milestones, and dependencies, and coordinates HR, IT, and business stakeholders. Responsibilities also include facilitating workshops, preparing executive materials, improving employee experience, and supporting transformation adoption.

Develop and modernize internal full-stack applications, maintain legacy systems, collaborate with business units on IT solutions, support users, and promote strong development practices. The role requires senior-level full-stack experience, Scala or another functional programming language, product orientation, stakeholder engagement, and the ability to manage multiple priorities. Python, TypeScript, and React experience are advantageous.

Provides onsite and remote IT support across EMEA offices, including Microsoft technologies, mobile devices, networks, systems infrastructure, Citrix, hardware, printing, inventory, and CMDB maintenance. Troubleshoots and replaces equipment, supports infrastructure projects, manages vendors and contractors, maintains documentation, assists with budgets, and contributes to business continuity planning. Requires strong technical support experience, French and English fluency, independent work skills, and willingness to travel regionally.

Define, govern, and evolve enterprise data architecture across business domains. Develop scalable architectures aligned with business strategies, regulatory requirements, governance principles, and solution guidelines. Establish data standards, advise on modeling and integration, support data lifecycle traceability and compliance, and contribute to architecture, lineage, and data quality initiatives. Partner with Data Office, IT, business teams, data owners, and senior stakeholders while evaluating emerging technologies and hosting strategies.

Supports AML/CFT compliance and financial crime risk activities for French, Belgian, and Luxembourg offices. Assists with transaction monitoring, sanctions and PEP screening, market abuse reviews, client onboarding controls, periodic and ad hoc compliance checks, and administrative tasks. The role provides exposure to private banking products, processes, compliance risks, and second-line control functions within an international European team.

Chief of Staff supporting Wealth Planning strategy, governance, and business performance. Responsibilities include preparing executive presentations, coordinating stakeholders, leading annual planning, monitoring KPIs, overseeing budgets and P&L, managing risks and compliance, driving transformation initiatives, and using data to inform decisions. The role requires strong analytical, communication, prioritization, and cross-functional coordination skills, along with financial services experience and fluency in English and French.

Develop AI- and LLM-based tools for equity and fixed-income investment research. Build RAG and agentic workflows to analyze filings, earnings calls, credit research, macroeconomic data, and other structured and unstructured sources. Apply statistical and machine learning methods to create investment signals, integrate internal and external data systems, evaluate AI-generated insights, and present findings to investment professionals.

Collaborate with business units to develop Generative AI agents, design and optimize prompts, prepare and analyze data, test AI models, promote AI tools, and research emerging AI trends. The role requires Python proficiency, familiarity with machine learning or data-processing libraries, and interest in cloud technologies, microservices, APIs, and finance.

Oversee operational, technology, information, and business risks across Corporate Services. Review controls, coordinate remediation and audit findings, ensure policy and regulatory compliance, and support risk owners and auditors. Lead cross-functional initiatives, monitor strategic action plans, maintain documentation, assist with communications and events, and provide operational backup for travel, insurance, art collection, supplier invoices, and process improvement activities.

Build AI-powered portfolio intelligence services for conversational portfolio analysis. Develop capabilities for performance, attribution, risk, benchmark comparison, natural-language portfolio exploration, and investment-universe screening. Integrate AI assistant services with portfolio data and work with data engineers, product owners, and investment specialists. The internship combines software engineering, artificial intelligence, data engineering, portfolio analytics, and financial markets.

Internship supporting enterprise workstation architecture, endpoint management, and modern workplace technologies. Responsibilities include assessing workstation build and deployment processes, reviewing security controls and documentation, identifying risks and optimization opportunities, and contributing to Microsoft Intune management strategies for laptops, desktops, and mobile devices. The intern will help define configuration, compliance, application lifecycle, security, reporting, and automation best practices, then present recommendations to technical stakeholders.

Develop mobile CRM features using voice recognition, AI-generated summaries, and intelligent notifications. The intern will integrate mobile capabilities with CRM services, contribute to user experience and interface design, and collaborate with developers, UX specialists, and business users. The role offers exposure to mobile and AI technologies within a strategic CRM transformation program.

Support Microsoft Fabric adoption by analyzing usage patterns, identifying barriers, engaging users and data experts, exploring platform capabilities, and designing enablement initiatives. The role combines data platform expertise, business analysis, stakeholder engagement, and change management to increase organizational adoption and value.

Develop AI-powered document processing and information extraction solutions for KYC workflows within a CRM platform. Analyze workflows, explore OCR and document intelligence technologies, build validation and quality-control mechanisms, integrate extracted data, and identify automation opportunities. Collaborate with compliance, operations, and development teams in a regulated banking environment.

Develop AI-powered solutions that analyze Java application code and business specifications to generate non-regression test scenarios. Explore LLM-based code understanding, business-rule extraction, and automated test design for securities settlement systems. Build prototypes, integrate outputs into testing workflows, improve test coverage reporting, and collaborate with engineers and architects to evaluate AI-driven testing approaches.

Build AI-powered CRM capabilities for wealth management by analyzing client behavior, defining engagement metrics, identifying churn risks, developing predictive models and dashboards, and presenting insights to business stakeholders. The role offers hands-on experience with AI, predictive analytics, behavioral modeling, and large-scale banking datasets.

Internship software engineer developing AI-enabled automation services for trading and banking operations. Responsibilities include building Java Spring Boot microservices, working with Kubernetes, Helm, and Kafka, supporting workflow automation, collaborating with business and operations teams, testing and deploying services, monitoring performance, and maintaining documentation.

Contribute to designing and implementing a secure, scalable agentic sandbox platform for AI experimentation. Responsibilities include extending an API Portal ecosystem, exploring Model Context Protocol integrations, developing mock service generation, building developer tools and workflows, investigating AI agent architectures, and collaborating with architects and platform engineers.