Implementation and Production: Implement, deploy, and maintain quantitative models for portfolio construction, risk, factor analytics, and systematic strategies in production.
System Architecture and Engineering: Design and maintain scalable Python infrastructure for backtesting, optimisation, and live analytics, with strong testing and CI/CD practices.
Quantitative Methods: Translate research methodology into production systems — portfolio optimisation, factor risk models, covariance estimation — using libraries such as CVXPY or Mosek.
Collaboration and Delivery: Work with portfolio managers, researchers, and IT to translate research designs into deployable production-quality code.
Continuous Improvement: Maintain and improve the team's analytical infrastructure and engineering practices; stay current with relevant developments.
Educational Background: Master's or PhD in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Physics, Finance, or related).
Professional Experience: 5+ years in quantitative developer or research engineer roles at a buy-side asset manager, hedge fund, QIS desk, or specialist quant vendor. Production experience implementing portfolio construction, risk, or factor models is mandatory.
Technical Skills (Required): Expert Python with production engineering discipline (packaging, testing, CI/CD); NumPy, pandas; optimisation packages (CVXPY, Mosek, SCIP); SQL; Git.
Technical Skills (Preferred): Compiled languages (C++, Rust, Java), cloud platforms (Azure, AWS, GCP), ML frameworks, or container technologies.
Domain Knowledge: Portfolio theory, factor models, risk measures (VaR, ES, tracking error), and multi-asset instruments.
Track Record: Proven ability to deliver and operate production-quality quantitative systems in cross-functional teams.
Personal Qualities: Hands-on builder mindset, attention to detail, and effective communication with technical and non-technical stakeholders.
Languages: Fluent English required; German is an asset.
Please note that we cannot consider applications via recruitment agencies for this position.
For further information please do not hesitate to contact us.
LGT Bank (Schweiz) AG
Human Resources
Nicole Bider
Forward-looking for generations
LGT is an international private bank owned by the Princely Family of Liechtenstein with over 30 locations in Europe, Asia Pacific, and the Middle East. Our solid capitalisation, long-term thinking, and strategic focus underpin our strong values. These are rooted in 900 years tradition and entrepreneurial thinking. Digitisation is a key part of how we continually innovate to find better ways of doing things - today and for the future.
Sustainable and social:
Sustainability is a pillar of LGT's strategy. Thinking, managing, and investing sustainably are integral parts of our identity. LGT has committed to reducing the net CO2 emissions from its operations and its investments to zero by 2030.
The Princely Family’s view is that wealth itself isn't a purpose, but that it comes with a sense of responsibility. Being wealthy means embracing and acting on that responsibility, as well as passing these values on to the next generation.
LGT as an employer:
LGT is a vibrant, growing international company and employer. We are certified as a Great Place to Work by the international consulting and research institute of the same name. Whether you have a wealth of experience or are embarking on your first professional steps, LGT careers offer an empowering environment to realise your ambitions.
Take your next career step at one of our over 40 international locations: www.lgt.com/global-en/career/jobs
Publishing information: www.lgt.com/global-en/publishing-information
