Quantitative Strategy Developer

MapleCap Partners AG, un hedge fund en Suisse, recrute un développeur quantitatif. Une grande opportunité vous attend dans un environnement dynamique.
Tâches
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Développer une plateforme de stratégie systématique en revenu fixe.
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Collaborer avec les gestionnaires de portefeuille pour définir les besoins.
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Implémenter des pratiques d'ingénierie logicielle de pointe.
Compétences
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Diplôme universitaire en sciences, mathématiques ou discipline quantitative.
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Expérience en développement Python et systèmes financiers.
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Compétences en algorithmes et optimisation des flux de travail.
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
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Degree from a renowned university in CS, mathematics, physics, engineering or another quantitative discipline
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At least 4 years of full-time equivalent studies
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Comfortable with probability, statistics, linear algebra, optimization, machine learning
Programming
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1+ years of professional experience in python software development
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Demonstrated ability to write clean, tested, production-quality python code
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Worked on a team of researchers and/or developers
Software Engineering
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Evidence of building and shipping production-grade systems
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Has written tests, used version control, built CI/CD pipelines, used profiling, used debugging
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Collaborated with other developers using code review, issue tracking, and version control
Algorithms
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Ability to implement algorithms using data structures and numerical methods
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Experience with parallelization of computational workflows
LLM Systems
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Demonstrated experience in building and deploying RAG or other LLM-based systems
DevOps
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Used docker to build and deploy a service or backend using cloud infrastructure
Databases
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Proficient in writing SQL queries including joins and aggregations
Financial Data
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Experience in processing time series and other financial market data comprising of millions of individual records
Production Code
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Experience translating research or prototypes into robust production code and testing it
Unix Tools
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Comfortable developing in Linux and using command-line development tools
Financial Markets
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Basic knowledge of fixed income markets: Fixed-income instruments, pricing, yield curves, duration, convexity, spreads, and interest-rate risk
Language
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Minimum C1 English proficiency (CEFR)
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Effective in communicating technical topics
Advantageous
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A curious mindset, analytical thinking, attention to detail, collaborative
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Top 10% academic performance or recognition on dean's list
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University coursework in finance
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Experience in modelling inflation or other macroeconomic time series
Examples of what we could test for
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Implementing a specific algorithm as clean python code, including writing tests for it
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Developing a solution to an open-ended technical problem
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Reasoning through a probabilistic puzzle
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Explaining how a fixed income instrument is priced
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Debugging a code snippet provided to you
Responsibilities
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Take ownership of the buildout of a new systematic trading strategy framework
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Collaborate with portfolio managers to define and refine requirements
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Use expert software engineering practices and design patterns
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Implement core functional blocks such as PnL calculation and analytics
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Periodically demonstrate your progress to internal stakeholders
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Autonomously manage your backlog priority queue, and timeline
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Develop data warehousing requirements for implementation by internal IT
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Implement an optimization framework
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Build user interfaces as requested by internal users
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Employ software engineering best practices for implementing tests and monitoring/observability
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Cover production issues during deployment of the systematic strategy
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Seek discussions with peers about open problems and proactively ask for help when needed
Benefits
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Competitive compensation
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Drinks, fruit and snacks in office kitchen
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Rapid learning curve within the competitive hedge fund industry
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Networking opportunities at industry events
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Regular team events
APPLY BY 10TH NOVEMBER using this link - https://maplecappartners.bamboohr.com/careers/39'source=aWQ9MTU%3D