Quantitative Developer - Algorithmic Options Trading

Cutemarkets
München, Germany
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€70,000.0 - €90,000.0
Working hours
Regular working hours
Job source

Tech stack

Algorithmic Trading C++ (Programming Language) Computer Programming Python (Programming Language) Performance Tuning Backtesting Software Engineering Data Pipelines

Job description

We are a 2 years old venture studio (with 70 employees) and prop shop running options strategies with our own assets. We are currently looking for a Quant to join our core team. You will work on live strategies with real PnL impact, in a small, technical team with high ownership and fast iteration cycles. You will work on a combination of software engineering + quantitative thinking. This is an opportunity to shape both the trading systems and the broader platform. Tasks

  • Design and implement systematic options strategies (from idea to backtest to production)
  • Work directly on live trading systems with real capital at risk
  • Analyze large-scale market data to identify inefficiencies and new signals
  • Improve execution, latency, and robustness of existing strategies
  • Own the full lifecycle: research, validation, deployment, monitoring
  • Continuously iterate on models, risk management, and portfolio construction, We’re a group of engineers building the company we always wanted to work for:
  • Delivering high-end software projects (e.g. DB, Rheinmetall, Miele)
  • Building and launching our own products
  • Running systematic trading strategies with our own capital
  • Focused on speed, ownership, and technical excellence

Requirements

  • 2-5 years experience in quantitative development or algorithmic trading (options experience is a strong plus)
  • Strong programming skills (Python incl. math/stats ecosystem required; C++/Scala is a plus)
  • Solid understanding of probability, statistics, and numerical methods
  • Experience with backtesting, data pipelines, and performance optimization
  • Ability to work independently and drive ideas end-to-end
  • Interest in markets and building real trading systems (not just research)

About the company

CuteMarkets develops and operates systematic algorithmic trading strategies built on rigorous quantitative research. The firm focuses on data-driven market models, automated execution, and advanced infrastructure to capture inefficiencies across modern financial and crypto markets. By combining quantitative finance, technology, and disciplined risk management, CuteMarkets aims to generate consistent, uncorrelated returns in rapidly evolving markets.

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