Quantitative Strategy Developer

MapleCap Partners AG; Freienbach; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Drinks, fruit & snacks in office

Networking opportunities

Team events

Fast learning curve

Job summary

MapleCap Partners AG in Pfäffikon SZ, Switzerland, seeks a Quantitative Strategy Developer to build a new systematic trading framework for fixed income strategies. You will work closely with portfolio managers and other quants, deploying production-grade Python code and robust analytics in a front-office setting.

You should have a strong quantitative background, 1+ year Python dev experience, and a track record of delivering production systems with CI/CD and Linux tooling.

Qualifications

• Degree in CS, mathematics, physics, engineering or another quantitative discipline; at least 4 years of full-time studies
• Strong knowledge of probability, statistics, linear algebra, optimization, and ML
• 1+ years of professional Python development; production-quality code; team experience

Responsibilities

• Take ownership of building a new systematic trading strategy framework
• Collaborate with portfolio managers to define requirements
• Implement core blocks: PnL calculation and analytics
• Manage backlog and timelines autonomously
• Develop data warehousing requirements for internal IT, and build testing/monitoring

Skills

Analytical thinking

Attention to detail

Collaborative

English communication

Education

Master’s degree from university of applied sciences or equivalent

Quantitative degree (CS/math/physics/engineering)

Tools

Python

SQL

Docker

CI/CD

Linux

Job description

Quantitative Strategy Developer

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 disciplineAt least 4 years of full-time equivalent studiesComfortable with probability, statistics, linear algebra, optimization, machine learning

Programming

• 1+ years of professional experience in python software developmentDemonstrated ability to write clean, tested, production-quality python codeWorked on a team of researchers and/or developers

Software Engineering

• Evidence of building and shipping production-grade systemsHas written tests, used version control, built CI/CD pipelines, used profiling, used debuggingCollaborated with other developers using code review, issue tracking, and version control

Algorithms

• Ability to implement algorithms using data structures and numerical methodsExperience 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, collaborativeTop 10% academic performance or recognition on dean's listUniversity coursework in financeExperience 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 itDeveloping a solution to an open-ended technical problemReasoning through a probabilistic puzzleExplaining how a fixed income instrument is pricedDebugging a code snippet provided to you

Responsibilities

• Take ownership of the buildout of a new systematic trading strategy frameworkCollaborate with portfolio managers to define and refine requirementsUse expert software engineering practices and design patternsImplement core functional blocks such as PnL calculation and analyticsPeriodically demonstrate your progress to internal stakeholdersAutonomously manage your backlog priority queue, and timelineDevelop data warehousing requirements for implementation by internal ITImplement an optimization frameworkBuild user interfaces as requested by internal usersEmploy software engineering best practices for implementing tests and monitoring/observabilityCover production issues during deployment of the systematic strategySeek discussions with peers about open problems and proactively ask for help when needed

Benefits

• Competitive compensationDrinks, fruit and snacks in office kitchenRapid learning curve within the competitive hedge fund industryNetworking opportunities at industry eventsRegular 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