▷ [3 Days Left] Quantitative Developer

4 weeks ago

Hyderabad Telangana, India Weekday AI Full time

This role is for one of the Weekday s clients Min Experience 1 years Location Gurgaon Hyderabad JobType full-time We are seeking a highly motivated Quantitative Developer with strong programming and analytical skills to join our dynamic team The ideal candidate will combine technical expertise in Python with a solid understanding of quantitative analysis and financial modeling You will work closely with quantitative analysts traders and data scientists to design develop and optimize models analytics and trading tools that drive decision-making and improve performance across strategies This is an exciting opportunity for a professional who enjoys working with large datasets developing clean and efficient code and building tools that have a direct impact on business outcomes Requirements Key Responsibilities Design develop and maintain quantitative models algorithms and analytical tools used for pricing trading and risk management Collaborate with quants researchers and traders to translate business requirements into efficient and scalable technical solutions Build robust data pipelines to source clean and process large volumes of structured and unstructured financial data Implement and optimize backtesting frameworks to evaluate the performance of trading strategies Enhance existing quantitative libraries and contribute to the continuous improvement of codebase documentation and testing standards Conduct exploratory data analysis statistical modeling and feature engineering for research and production use Integrate quantitative models and analytical outputs into trading and risk management systems Stay updated on new techniques technologies and best practices in quantitative finance data science and software development Required Skills Qualifications Bachelor s or Master s degree in Computer Science Mathematics Statistics Physics Engineering or a related quantitative discipline 1-4 years of experience in quantitative development data engineering or financial modeling preferably in a trading research or analytics environment Strong programming proficiency in Python including experience with libraries such as NumPy Pandas SciPy and scikit-learn Familiarity with object-oriented programming data structures algorithms and software design principles Experience with data visualization tools e g Matplotlib Plotly Seaborn and version control systems Git Solid understanding of statistics probability and numerical methods used in quantitative finance Working knowledge of SQL or other database query languages Ability to write clean maintainable and well-documented code Strong problem-solving skills analytical mindset and attention to detail Preferred Skills Exposure to financial markets trading systems or quantitative research Familiarity with machine learning techniques and frameworks such as TensorFlow or PyTorch Experience with Linux environments cloud platforms AWS GCP or distributed computing frameworks Understanding of time-series analysis portfolio optimization or risk modeling

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