Quant developer

This role is for one of the Weekday's clients

Requirements

Key Responsibilities:

• Develop, test, and maintain quantitative models and algorithms using Python.
• Assist in implementing trading strategies, backtesting frameworks, and risk analytics tools.
• Analyze large financial datasets to extract actionable insights and support model development.
• Collaborate with senior developers and quantitative analysts to optimize model performance.
• Automate repetitive tasks and streamline data processing pipelines.
• Document code, models, and methodologies clearly to maintain transparency and reproducibility.
• Stay updated with the latest trends in quantitative finance, algorithmic trading, and Python development.
  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Finance, or a related quantitative field.
• Strong programming skills in Python, including libraries such as NumPy, Pandas, SciPy, and Matplotlib.
• Understanding of financial markets, instruments, and basic quantitative concepts is a plus.
• Familiarity with data structures, algorithms, and object-oriented programming principles.
• Ability to work with large datasets and perform data analysis efficiently.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication skills and ability to work effectively in a team environment.
  

Preferred Skills:

• Exposure to machine learning, statistical modeling, or time-series analysis.
• Experience with version control systems like Git.
• Basic understanding of probability, linear algebra, and calculus applied to finance.
  

What We Offer:

• Hands-on experience in quantitative finance and algorithmic trading.
• Mentorship from experienced quants and developers.
• Opportunities to work on real-world financial datasets and implement production-grade models.
• A collaborative, supportive, and learning-focused work environment.
• Career growth and professional development opportunities in quantitative research and software engineering