Quant developer

This role is for one of the Weekday's clients

Min Experience: 0 years

Location: Gurugram, Hyderabad

JobType: full-time

As a Quant Developer, you will work closely with quantitative analysts, data scientists, and senior developers to design, implement, and maintain trading models, risk management tools, and analytics solutions. This is an excellent opportunity for recent graduates or early-career professionals to gain hands-on experience in quantitative finance, develop programming expertise, and grow in a fast-paced, intellectually stimulating environment.

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.