Senior quantitative developer
1 day 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., Num Py, Pandas, Sci Py, Tensor Flow, Py Torch).
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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