Quantitative Analyst

A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provideadvanced banking technology to other financial institutions.“Rethink Everything” is our philosophy – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients.Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. In order to strengthen our Systematic Research team, we are looking for a London based:Quantitative AnalystWe are seeking a hands on quantitative researcher with strong software/DevOps/MLOps capability to develop, productionise, and scale systematic investment models and sustainability analytics. You will own the end to end research to production lifecycle: automating data operations, building and validating quant models, and integrating them into scalable platforms, while providing timely responses to internal and external client queries.The role is a key contributor to our forward looking research roadmap, including the build out of new systematic franchises in nature, biodiversity, adjacent sustainability thematics and beyond.YOUR ROLE1) Quantitative Research & Model DevelopmentDesign innovative new quantitative models and metrics, extend, and maintain quantitative models, metrics and investment frameworks, with rigorous back‑testing, scenario design, and attribution.Integrate new indicators and alternative datasets; formalise feature engineering and signal decay/robustness analysis; implement model risk controls, documentation, and reproducibility.Scale and commercialise proprietary metrics for investment use‑cases and new revenue lines (e.g., indices, APIs/subscriptions, data products).2) Data Operations & Quality Control (Automation‑First)Work with systematic team and IT to automate ingestion, validation, and monitoring of 30+ multi‑vendor datasets (schema evolution, mapping, entity resolution, referential integrity, SLA oversight).Run impact analysis of data changes on models and reporting; manage deployment pipelines and data lineage/audit trails; support data procurement and budgeting.3) Platform Development & Process ManagementCo-develop with systematic team and IT a scalable data/quant architecture (data pipelines, model services, APIs) and embed SRE practices (observability, resilience, cost efficiency).Lead automation of portfolio alignment and sustainability reporting; maintain production health, troubleshoot incidents, and drive continuous improvement.4) Client & Stakeholder DeliveryAddress day‑to‑day queries from external clients, Sales, Investment and Risk; deliver bespoke analytics (portfolio construction, factor/cross‑sectional studies, sustainability diagnostics).Liaise with reporting teams to automate regulatory disclosures (e.g., EET, SFDR) and ensure accurate, timely data flows into internal and client‑facing tools.5) Strategic Initiatives & Thought LeadershipAdvance nature/biodiversity and circularity research lines into production‑grade systematic strategies.Publish proprietary research (SSRN/peer‑reviewed journals/industry conferences) and participate in industry working groups, enhancing the firm’s visibility.YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience).4–7 years in quantitative research/engineering within capital markets; proven delivery of research to production quant solutions at scale.Demonstrable experience with large scale datasets, data engineering workflows, and production automation.Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging).Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B).Machine Learning for time series/tabular data; LLM/agentic systems, retrieval pipelines, and evaluation/guardrails.Research driven, rigorous and curious; clear scientific writing with a publication mindset.Ability to communicate complex ideas to non-technical audiences; collaborative, delivery oriented, and calm under pressure.Our Maison’s DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication.As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy.