Quantitative Strategy Developer

Maple Cap 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 Maple Cap, Kamil Szynkarczuk, is an accomplished portfolio manager and leads the young firm.

Quantitative Strategy Developer

Quantitative Team (Front Office)

Pfäffikon SZ, Switzerland

January 2027, by arrangement

Permanent

Full-time (100%)

On-site (office)

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.

• 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

• 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

• 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

• Ability to implement algorithms using data structures and numerical methods
  
  Experience with parallelization of computational workflows

• Demonstrated experience in building and deploying RAG or other LLM-based systems

• Used docker to build and deploy a service or backend using cloud infrastructure

• Proficient in writing SQL queries including joins and aggregations

• Experience in processing time series and other financial market data comprising of millions of individual records

• Experience translating research or prototypes into robust production code and testing it

• Comfortable developing in Linux and using command-line development tools

• Basic knowledge of fixed income markets:
  Fixed-income instruments, pricing, yield curves, duration, convexity, spreads, and interest-rate risk

• Minimum C1 English proficiency (CEFR)
  Effective in communicating technical topics

• 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

• 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

• 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 ITImplement 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

• 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

• Work location 8808 Pfäffikon SZ (SZ)
• Workload 100%
• Employment start Immediately
• Employment duration Permanent

• Qualification skilled
• Work experience More than 1 year
• Education Master’s degree from a university of applied sciences or equivalent

• English Orally :
  Very good knowledge Written :
  Very good knowledge

• By online Online form