346 Algorithmic Trading jobs in India
Quantitative Analyst - Algorithmic Trading
Posted 2 days ago
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Job Description
Key responsibilities include:
- Developing, back-testing, and deploying complex quantitative models for trading strategies.
- Designing and implementing algorithmic trading systems.
- Analyzing large datasets to identify trading opportunities and market inefficiencies.
- Performing statistical analysis and financial modeling.
- Collaborating with traders and developers to refine and optimize trading strategies.
- Researching and evaluating new trading technologies and methodologies.
- Monitoring the performance of trading algorithms and making necessary adjustments.
- Contributing to the firm's quantitative research and development efforts.
- Ensuring compliance with regulatory requirements and risk management protocols.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience in quantitative analysis, algorithmic trading, or financial modeling.
- Strong programming skills in languages like Python, C++, or R.
- In-depth knowledge of financial markets, derivatives, and trading strategies.
- Experience with statistical analysis, machine learning, and data mining techniques.
- Excellent problem-solving skills and a rigorous analytical mindset.
- Strong communication and teamwork abilities.
- Experience with big data technologies is a plus.
This hybrid position allows for a blend of on-site collaboration at our Mumbai, Maharashtra, IN office and remote work, offering a dynamic work-life balance. We seek individuals who are driven by intellectual curiosity and possess a passion for quantitative finance.
Quantitative Analyst - Algorithmic Trading
Posted 5 days ago
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Job Description
Responsibilities:
- Develop, test, and implement quantitative trading strategies.
- Conduct in-depth data analysis using statistical and econometric methods.
- Build and validate predictive models and machine learning algorithms for financial markets.
- Collaborate with traders and developers to refine trading systems and execution logic.
- Monitor the performance of trading strategies and identify areas for improvement.
- Perform risk analysis and implement risk management techniques for trading portfolios.
- Research new data sources and analytical techniques.
- Backtest trading strategies rigorously on historical data.
- Ensure the accuracy and integrity of financial data used for modeling.
- Stay updated on market microstructure, trading technologies, and quantitative finance research.
- Document methodologies, strategies, and results clearly.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Proven experience (3+ years) in quantitative analysis, algorithmic trading, or a similar quantitative finance role.
- Strong programming skills in Python, C++, or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, instruments, and trading concepts.
- Experience with large datasets and data manipulation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and efficiently in a remote setting.
- Strong communication skills to articulate complex quantitative ideas.
Senior Algorithmic Trading Strategist
Posted today
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Job Description
Your primary focus will be on researching and designing novel trading strategies, identifying market inefficiencies, and leveraging large datasets to gain a competitive edge. This involves extensive data analysis, signal generation, and risk management. You will work closely with traders and developers to translate strategy concepts into robust, production-ready trading systems. A strong background in mathematics, econometrics, machine learning, and C++ or Python programming is essential. You will continuously monitor the performance of deployed strategies, conduct rigorous performance analysis, and iterate on models to adapt to changing market conditions. This role requires a blend of intellectual curiosity, quantitative rigor, and a deep passion for financial markets.
Key Responsibilities:
- Research, develop, and backtest quantitative trading strategies.
- Identify and exploit market inefficiencies across various asset classes.
- Analyze large datasets using statistical and machine learning techniques.
- Design and implement robust risk management frameworks for trading strategies.
- Collaborate with traders and software engineers to deploy strategies into live trading environments.
- Monitor strategy performance, conduct post-trade analysis, and provide insights.
- Continuously refine and optimize existing trading algorithms.
- Stay abreast of academic research and industry trends in quantitative finance.
- Contribute to the firm's intellectual property through innovative research.
- Document strategy designs, methodologies, and implementation details.
The successful candidate will hold a Master's or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Computer Science, or Physics. A minimum of 5-7 years of experience in quantitative trading, algorithmic strategy development, or related roles within the financial industry is required. Proven track record of developing and implementing successful trading strategies is essential. Expertise in statistical modeling, time-series analysis, and machine learning algorithms is mandatory. Proficiency in programming languages like Python (NumPy, Pandas, Scikit-learn) and/or C++ is a must. Deep understanding of financial markets, derivatives, and trading systems is crucial. Exceptional problem-solving, analytical, and communication skills are necessary. This is an unparalleled opportunity to innovate in the field of algorithmic trading and shape the future of quantitative finance in a dynamic, fully remote setting, contributing to our operations near Chennai, Tamil Nadu, IN .
Senior Quantitative Analyst - Algorithmic Trading
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement quantitative models for high-frequency and low-frequency trading strategies.
- Conduct rigorous backtesting and statistical analysis of trading strategies using historical market data.
- Research and identify new alpha generation opportunities based on market inefficiencies and statistical patterns.
- Collaborate with traders and portfolio managers to understand market dynamics and translate them into algorithmic strategies.
- Develop and maintain robust trading system infrastructure, ensuring reliability and performance.
- Monitor the performance of live trading strategies, identify deviations, and implement necessary adjustments.
- Manage risk associated with algorithmic trading strategies and ensure compliance with regulatory requirements.
- Stay current with the latest advancements in quantitative finance, machine learning, and financial econometrics.
- Document research findings, model specifications, and trading strategies.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Strong proficiency in programming languages such as Python, C++, or Java, with experience in data analysis libraries (e.g., NumPy, Pandas).
- Expertise in statistical modeling, time series analysis, machine learning techniques, and financial econometrics.
- Deep understanding of financial markets, various asset classes, and trading mechanics.
- Proven experience in designing, backtesting, and implementing quantitative trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with large datasets and big data technologies is a plus.
Senior Quantitative Analyst - Algorithmic Trading
Posted today
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Job Description
Key Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies and algorithms.
- Analyze large datasets of market data to identify profitable trading opportunities.
- Build and maintain statistical models for risk management and portfolio optimization.
- Collaborate with traders and portfolio managers to refine trading strategies.
- Implement and optimize trading algorithms for execution across various asset classes.
- Conduct thorough research into new quantitative methodologies and financial instruments.
- Ensure the accuracy, performance, and reliability of trading systems.
- Monitor market conditions and adapt strategies as needed.
- Communicate complex quantitative concepts and results to diverse stakeholders.
- Stay abreast of the latest advancements in quantitative finance and technology.
- Ph.D. or Master's degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
- Minimum of 5 years of experience in quantitative analysis or quantitative trading roles.
- Proven experience in developing and implementing algorithmic trading strategies.
- Strong proficiency in programming languages such as Python and C++.
- Deep understanding of financial markets, derivatives, and econometrics.
- Expertise in statistical modeling, machine learning, and data analysis techniques.
- Experience with risk management frameworks and tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills.
- Ability to work independently and perform under pressure in a remote environment.
Senior Quantitative Analyst - Algorithmic Trading
Posted today
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Job Description
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Senior Quantitative Analyst (Algorithmic Trading)
Posted today
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Location: While this role is fully remote, it is based in Nagpur, Maharashtra, IN .
Senior Quantitative Analyst - Algorithmic Trading
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Research, design, develop, and backtest quantitative trading strategies.
- Develop and implement statistical and machine learning models for market prediction and signal generation.
- Analyze historical and real-time market data to identify trading opportunities and risks.
- Collaborate with traders and portfolio managers to refine strategies and execution.
- Build and maintain robust data infrastructure and analytical tools.
- Optimize trading algorithms for performance, efficiency, and risk management.
- Conduct in-depth research into market microstructure and asset pricing.
- Ensure the accuracy and integrity of quantitative models and their implementation.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and computational methods.
- Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or financial modeling.
- Expert programming skills in Python, C++, R, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Strong knowledge of financial markets, instruments, and trading strategies.
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Experience with data analysis, database management, and high-performance computing.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills.
- Ability to work independently and in a collaborative team environment.
Senior Quantitative Analyst - Algorithmic Trading
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, backtest, and deploy high-frequency and low-latency trading algorithms for various asset classes.
- Conduct in-depth statistical and econometric analysis of market data to identify trading opportunities.
- Design and implement predictive models for market movements, volatility, and price discovery.
- Collaborate closely with traders and technologists to translate research ideas into production-ready trading strategies.
- Optimize existing trading algorithms for performance, risk management, and efficiency.
- Manage and analyze large datasets of historical and real-time market data.
- Stay current with academic research and industry trends in quantitative finance and machine learning.
- Develop and maintain robust risk management frameworks for trading strategies.
- Perform ad-hoc analysis and research to support trading desk initiatives.
- Contribute to the continuous improvement of the quantitative trading infrastructure.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative finance, algorithmic trading, or a related role.
- Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in Python, C++, or Java, with experience in data manipulation libraries (e.g., Pandas, NumPy).
- Experience with financial market data and trading platforms.
- Deep understanding of financial markets, derivatives, and risk management.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage complex projects in a remote setting.
- Experience with high-performance computing and distributed systems is a plus.
- Familiarity with distributed data processing frameworks like Spark.