Senior Quantitative Developer
4 days ago
Experience Range : 8-11 Years
Location: Pune /Bangalore/ Chennai
Job Overview:
We are looking for an experienced Senior Quantitative Developer and Researcher to join our dynamic team. This role combines deep research capabilities with hands-on development, where you will contribute to the creation and enhancement of quantitative models for investment decision-making and trading opportunities. The ideal candidate will have a strong background in advanced mathematics, statistics, and quantitative techniques, along with experience working closely with portfolio managers and analysts in Asset and Wealth Management to optimize financial strategies.
Key Responsibilities:
- Research, develop, and implement advanced quantitative models to support investment strategies, trading algorithms, and portfolio management.- Analyze financial data, including time series, historical data, and market trends, to identify patterns and opportunities for optimization.- Apply quantitative techniques, including probability, linear regression, time series analysis, and optimization methods, to build predictive models.- Collaborate with portfolio managers, analysts, and other business stakeholders to translate business requirements into quantitative models and actionable insights.- Build and optimize algorithms that enhance trading strategies and support decision-making processes.- Perform rigorous back testing and validation of models to ensure robustness and profitability.- Work closely with development teams to code and deploy mathematical models into production environments.- Conduct ongoing research to refine models and stay ahead of market trends and technological advancements.- Present research findings and model performance to stakeholders, providing clear insights and recommendations for improvement.- Contribute to the development of tools and frameworks that improve the efficiency and accuracy of quantitative research and modeling.
Required Skills & Qualifications:
- Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Financial Engineering, Computer Science, Physics).- Minimum of 8 years of experience in quantitative research and development, with a focus on financial modeling and analysis.- Strong knowledge of quantitative techniques, including probability theory, linear regression, time series analysis, and optimization algorithms.- Proven experience working with asset and wealth management teams, especially in developing models to enhance investment decisions and trading strategies.- Background in advanced mathematics and statistics, with a strong understanding of financial products and markets.- Proficiency in programming languages such as Python, C++, R, or Java.- Experience with quantitative libraries (e.g., NumPy, Pandas, SciPy, TensorFlow, PyTorch).- Familiarity with financial platforms and tools (e.g., Bloomberg, MATLAB, Quantlib).- Strong problem-solving skills and ability to interpret complex data to make informed decisions.- Ability to work in a collaborative, fast-paced environment with cross-functional teams.- Strong communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.
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