Quantitative Strategy Developer / Quantitative Strategy Developeress

Join Our Team at MapleCap Partners AG

MapleCap Partners AG is a hedge fund specializing in inflation markets. We are seeking a talented Quantitative Developer to join our dynamic and growing team. Led by founder and Chief Investment Officer Kamil Szynkarczuk, an accomplished portfolio manager, our firm thrives on innovation and collaboration.

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

Role Overview

This role is highly autonomous and involves direct collaboration within the front office environment. You will work closely with portfolio managers, fellow quantitative researchers, and our internal IT team, taking ownership of developing a fixed income systematic strategy platform.

Required Qualifications

Education

• Degree from a renowned university in Computer Science, Mathematics, Physics, Engineering, or another quantitative discipline.
• At least 4 years of full-time equivalent studies.
• Strong foundation in probability, statistics, linear algebra, optimization, and machine learning.

Programming

• Minimum 1 year of professional experience in Python software development.
• Demonstrated ability to write clean, tested, production-quality Python code.
• Experience working on teams with researchers and/or developers.

Software Engineering

• Evidence of building and shipping production-grade systems.
• Experience with writing tests, using version control, building CI/CD pipelines, profiling, and debugging.
• Collaboration skills, including code review and issue tracking.

Algorithms

• Proficiency in implementing algorithms and using data structures and numerical methods.
• Experience with parallelization of computational workflows.

LLM Systems

• Demonstrated experience in building and deploying Retrieval-Augmented Generation (RAG) or other LLM-based systems.

DevOps

• Experience using Docker to build and deploy services or backends on cloud infrastructure.

Databases

• Proficient in writing SQL queries, including joins and aggregations.

Financial Data

• Experience processing time series and handling extensive financial market datasets.

Production Code

• Capability to translate research or prototypes into robust production code and conduct thorough testing.

Unix Tools

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

Financial Markets

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

Language

• Minimum C1 English proficiency (CEFR) with effective communication skills for technical topics.

Advantageous Skills

• A curious mindset, with strong analytical thinking and attention to detail.
• Top 10% academic performance or recognition on the dean's list.
• University coursework in finance.
• Experience in modeling inflation or other macroeconomic time series.

Example Assessments

• Implementing a specific algorithm as clean Python code, including writing tests.
• Developing a solution for an open-ended technical problem.
• Reasoning through a probabilistic puzzle.
• Explaining the pricing of a fixed income instrument.
• Debugging a provided code snippet.

Responsibilities

• Take ownership of developing a new systematic trading strategy framework.
• Collaborate with portfolio managers to define and refine project requirements.
• Utilize expert software engineering practices and design patterns.
• Implement core functional components such as PnL calculation and analytics.
• Periodically demonstrate progress to internal stakeholders.
• Autonomously manage backlog priorities and timelines.
• Develop data warehousing requirements for implementation by internal IT.
• Implement an optimization framework.
• Build user interfaces as needed for internal users.
• Employ best practices for implementing tests and monitoring/observability.
• Address production issues during the deployment of the systematic strategy.
• Engage in discussions with peers regarding open problems and proactively seek assistance when needed.

Benefits

• Competitive compensation package.
• Access to drinks, fruit, and snacks in the office kitchen.
• Rapid learning opportunities in the competitive hedge fund industry.
• Networking opportunities at industry events.
• Regular team-building events.

Apply online using the form below. Please note that only applications matching the job profile will be considered.