Description

MapleCap Partners AG is a hedge fund specializing in inflation markets. We are looking for a quantitative developer to join our growing team. Founder and Chief Investment Officer of MapleCap, Kamil Szynkarczuk, is an accomplished portfolio manager and leads the young firm. Job Description Job Title Quantitative Strategy Developer Department Quantitative Team (Front Office) Location Pfäffikon SZ, Switzerland Start Date January 2027, by arrangement Duration Permanent Workload Full-time (100%) Type On-site (office) Salary Competitive This role is highly autonomous and vertically integrated in the front office. You will collaborate with portfolio managers, other quants, and internal IT. You will own the development of a fixed income systematic strategy platform. Required Qualifications Education Degree from a renowned university in CS, mathematics, physics, engineering or another quantitative discipline At least 4 years of full-time equivalent studies Comfortable with probability, statistics, linear algebra, optimization, machine learning Programming 1+ years of professional experience in python software development Demonstrated ability to write clean, tested, production-quality python code Worked on a team of researchers and/or developers Software Engineering Evidence of building and shipping production-grade systems Has written tests, used version control, built CI/CD pipelines, used profiling, used debugging Collaborated with other developers using code review, issue tracking, and version control Algorithms Ability to implement algorithms using data structures and numerical methods Experience with parallelization of computational workflows LLM Systems Demonstrated experience in building and deploying RAG or other LLM-based systems DevOps Used docker to build and deploy a service or backend using cloud infrastructure Databases Proficient in writing SQL queries including joins and aggregations Financial Data Experience in processing time series and other financial market data comprising of millions of individual records Production Code Experience translating research or prototypes into robust production code and testing it Unix Tools Comfortable developing in Linux and using command-line development tools Financial Markets Basic knowledge of fixed income markets: Fixed-income instruments, pricing, yield curves, duration, convexity, spreads, and interest-rate risk Language Minimum C1 English proficiency (CEFR) Effective in communicating technical topics Advantageous A curious mindset, analytical thinking, attention to detail, collaborative Top 10% academic performance or recognition on dean's list University coursework in finance Experience in modelling inflation or other macroeconomic time series Examples of what we could test for Implementing a specific algorithm as clean python code, including writing tests for it Developing a solution to an open-ended technical problem Reasoning through a probabilistic puzzle Explaining how a fixed income instrument is priced Debugging a code snippet provided to you Responsibilities Take ownership of the buildout of a new systematic trading strategy framework Collaborate with portfolio managers to define and refine requirements Use expert software engineering practices and design patterns Implement core functional blocks such as PnL calculation and analytics Periodically demonstrate your progress to internal stakeholders Autonomously manage your backlog priority queue, and timeline Develop data warehousing requirements for implementation by internal IT Implement an optimization framework Build user interfaces as requested by internal users Employ software engineering best practices for implementing tests and monitoring/observability Cover production issues during deployment of the systematic strategy Seek discussions with peers about open problems and proactively ask for help when needed Benefits Competitive compensation Drinks, fruit and snacks in office kitchen Rapid learning curve within the competitive hedge fund industry Networking opportunities at industry events Regular team events