Quantitative Developer - Algorithmic Options Trading
WFA Digital Insight
The demand for skilled quantitative developers in the finance sector has grown significantly, with a 25% increase in job postings over the last year. This trend is driven by the need for sophisticated trading systems and data analysis. CuteMarkets, a venture studio and prop shop, stands out for its innovative approach to options trading and its commitment to technical excellence. With the rise of remote work, candidates can now access such opportunities from anywhere. Before applying, it's essential to understand the intricacies of algorithmic trading and the importance of collaboration in a fast-paced environment.
Job Description
About the Role
The Quantitative Developer position at CuteMarkets is a unique opportunity for individuals with a strong background in quantitative development and algorithmic trading to join a dynamic team. As a key member of the core team, you will be responsible for designing and implementing systematic options strategies, working directly on live trading systems, and analyzing large-scale market data to identify inefficiencies and new signals.The role entails a combination of software engineering and quantitative thinking, allowing you to shape both the trading systems and the broader platform. You will work in a small, technical team with high ownership and fast iteration cycles, providing the opportunity to make a significant impact.
CuteMarkets is a 2-year-old venture studio with 70 employees, running options strategies with its own assets. The company values speed, ownership, and technical excellence, making it an attractive destination for professionals looking to work in a collaborative and innovative environment.
What You Will Do
- 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
- Collaborate with the team to share knowledge and best practices
- Participate in code reviews to ensure high-quality code
- Stay up-to-date with market trends and regulatory changes
What We Are Looking For
- 2-5 years of experience in quantitative development or algorithmic trading
- Strong programming skills in Python, including math/stats ecosystem
- Experience with C++ or 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
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills
Nice to Have
- Experience with options trading and derivatives
- Knowledge of machine learning and artificial intelligence
- Familiarity with cloud-based technologies and containerization
- Certification in a related field, such as CFA or FRM
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work on high-impact projects with real PnL impact
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Access to cutting-edge technologies and tools
- Flexible working hours and remote work options
- Health insurance and wellness programs
- Retirement savings plan and equity participation
How to Stand Out
- Ensure you have a strong foundation in programming languages such as Python, and consider learning C++ or Scala to increase your chances of standing out.
- Develop a portfolio that showcases your experience with backtesting, data pipelines, and performance optimization.
- Prepare to discuss your understanding of probability, statistics, and numerical methods, as well as your experience with algorithmic trading and options strategies.
- Be ready to provide examples of your ability to work independently and drive ideas end-to-end, and to demonstrate your interest in markets and building real trading systems.
- Research the company's values and culture to understand how you can contribute to and thrive in the team.
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