PpLGT is the world’s largest family‑owned and managed Private Banking and Asset Management Group. For more than 100 years it has been fully owned and managed by the Princely House of Liechtenstein, which is also one of our biggest clients.br/With around 800 employees, LGT Bank Switzerland has established itself as a renowned Swiss private bank and is an excellent address for both wealthy private clients and employees - this was also confirmed last year by the independent institute "Great Place To Work", which awarded LGT Bank Switzerland the title of one of the best employers in Switzerland. /p h3Implementation and Production /h3 pImplement, deploy, and maintain quantitative models for portfolio construction, risk, factor analytics, and systematic strategies in production. /p h3System Architecture and Engineering /h3 pDesign and maintain scalable Python infrastructure for backtesting, optimisation, and live analytics, with strong testing and CI/CD practices. /p h3Quantitative Methods /h3 pTranslate research methodology into production systems — portfolio optimisation, factor risk models, covariance estimation — using libraries such as CVXPY or Mosek. /p h3Collaboration and Delivery /h3 pWork with portfolio managers, researchers, and IT to translate research designs into deployable production‑quality code. /p h3Continuous Improvement /h3 pMaintain and improve the team's analytical infrastructure and engineering practices; stay current with relevant developments. /p h3Your profile /h3 pbEducational Background: /b Master’s or PhD in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Physics, Finance, or related). /p pbProfessional Experience: /b 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. /p pbTechnical Skills (Required): /b Expert Python with production engineering discipline (packaging, testing, CI/CD); NumPy, pandas; optimisation packages (CVXPY, Mosek, SCIP); SQL; Git. /p pbTechnical Skills (Preferred): /b Compiled languages (C++, Rust, Java), cloud platforms (Azure, AWS, GCP), ML frameworks, or container technologies. /p pbDomain Knowledge: /b Portfolio theory, factor models, risk measures (VaR, ES, tracking error), and multi‑asset instruments. /p pbTrack Record: /b Proven ability to deliver and operate production‑quality quantitative systems in cross‑functional teams. /p pbPersonal Qualities: /b Hands‑on builder mindset, attention to detail, and effective communication with technical and non‑technical stakeholders. /p pbLanguages: /b Fluent English required; German is an asset. /p h3Benefits at LGT /h3 pbA great place to work – a great place to have impact: /b LGT promotes diversity among its employees. We believe that an inclusive and appreciative corporate culture is the driver for a great workplace and provides the opportunity to create a unique and successful team. That's why our employees can also benefit from many additional benefits. /p h3Family Work: /h3 ul liVarious flexible work models /li liAt least 25 days annual leave, depending on age /li liSpecial paid leave options /li liMaternity and paternity leave, options for further parental leave /li liAdditional childcare contribution for paid external care of children up to 12 years old /li /ul h3Your Health: /h3 ul liEmployee health and wellbeing program /li liHealthy meal options /li /ul h3Growing Together: /h3 ul liInternal courses /li liExternal courses offered by the Liechtenstein Academy /li liSupport for external training and further education /li liCoaching and mentoring programs /li liInternational assignments /li liDiscounts on LGT banking products and services /li liLGT co-investments /li liDiscounts on health and property insurance /li liPension plan with individualized options /li liVarious mobility/e-mobility initiatives /li liRecognition of major life events /li /ul /p #J-18808-Ljbffr