Front Office Quant Developer - Fixed Income Strategy

MapleCap Partners AG

Freienbach

On-site

CHF 120,000 - 180,000

Full time

3 days ago
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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

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.

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