280 Algorithmic Trading jobs in India
Quantitative Analyst - Algorithmic Trading
462001 Bhopal, Madhya Pradesh
₹180000 Annually
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Posted 2 days ago
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Job Description
Our client, a leading quantitative trading firm, is seeking a highly skilled and analytical Quantitative Analyst to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to the development and refinement of our sophisticated algorithmic trading strategies. You will be responsible for designing, developing, and implementing complex mathematical models and statistical methods to identify trading opportunities, manage risk, and optimize portfolio performance across various financial markets. The ideal candidate will possess a strong academic background in a quantitative field, exceptional programming skills, and a deep understanding of financial markets.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies using statistical and machine learning techniques.
- Analyze large datasets to identify market inefficiencies, predict price movements, and uncover trading signals.
- Design and implement risk management frameworks for trading portfolios.
- Collaborate with traders, engineers, and portfolio managers to integrate quantitative models into live trading systems.
- Conduct ongoing research into new quantitative methods and financial instruments.
- Build and maintain data infrastructure and tools for research and analysis.
- Monitor the performance of live trading strategies and identify areas for improvement.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Stay current with academic research and industry trends in quantitative finance.
- Contribute to the firm's intellectual property through innovative research and development.
- Master's degree or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Proven experience in quantitative analysis, algorithmic trading, or statistical modeling within the finance industry.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn) and/or C++.
- Solid understanding of financial markets, derivatives, and trading strategies.
- Experience with time-series analysis, econometrics, and machine learning techniques.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Experience with big data technologies (e.g., Spark) and database management is a plus.
- Familiarity with high-frequency trading (HFT) concepts is advantageous.
- Demonstrated ability to work under pressure and meet tight deadlines.
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0
Quantitative Analyst - Algorithmic Trading
380001 Ahmedabad, Gujarat
₹1800000 Annually
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Posted 10 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled Quantitative Analyst to join their dynamic team in **Ahmedabad, Gujarat, IN**, focusing on algorithmic trading strategies. This challenging role requires a strong mathematical and programming background to develop, test, and implement sophisticated trading algorithms. You will work closely with traders and portfolio managers to identify market opportunities, design predictive models, and optimize trading execution. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, and high-frequency trading concepts.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and backtest quantitative trading strategies using historical and real-time market data.
- Implement algorithms in a production environment, ensuring reliability and performance.
- Analyze large datasets to identify patterns, correlations, and predictive signals.
- Collaborate with traders and portfolio managers to understand market dynamics and define strategy requirements.
- Optimize trading algorithms for execution speed, slippage, and profitability.
- Monitor the performance of live trading strategies and make necessary adjustments.
- Conduct research into new quantitative techniques and technologies relevant to trading.
- Develop tools and infrastructure to support quantitative research and trading operations.
- Work with the technology team to ensure robust and scalable trading systems.
- Contribute to the firm's risk management framework for algorithmic trading.
- Stay current with financial market trends and regulatory changes.
- Prepare reports and presentations on strategy performance and research findings.
- Perform statistical analysis of market microstructure and trading behavior.
- Evaluate and integrate alternative data sources into trading models.
- Ensure compliance with all relevant financial regulations.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative finance, specifically in algorithmic trading strategy development.
- Proficiency in programming languages such as Python, C++, or Java.
- Strong understanding of statistical modeling, time series analysis, and machine learning techniques.
- Experience with financial market data (e.g., equities, futures, FX) and trading platforms.
- Knowledge of financial derivatives and portfolio theory.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively under pressure in a fast-paced trading environment.
- Strong communication and collaboration skills.
- Experience with large-scale data analysis and distributed computing frameworks is a plus.
- Familiarity with low-latency trading systems and infrastructure.
This advertiser has chosen not to accept applicants from your region.
1
Quantitative Analyst - Algorithmic Trading
520001 Krishna, Andhra Pradesh
₹1200000 Annually
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Posted 10 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and intellectually driven Quantitative Analyst to join their trading strategies division in **Vijayawada, Andhra Pradesh, IN**. This role is crucial for developing and implementing sophisticated quantitative models and algorithms to support our high-frequency trading operations. The ideal candidate will possess a strong mathematical background, exceptional programming skills, and a deep understanding of financial markets. You will be instrumental in researching, designing, and backtesting trading strategies, as well as monitoring their performance in live trading environments.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Research, develop, and implement quantitative trading strategies using statistical and machine learning techniques.
- Build and maintain robust backtesting frameworks to evaluate strategy performance.
- Analyze large datasets to identify market patterns, correlations, and opportunities.
- Collaborate with traders and portfolio managers to refine strategies and execute trades.
- Develop and optimize pricing and risk management models for financial derivatives.
- Write high-quality, production-ready code in languages such as Python, C++, or R.
- Monitor the performance of live trading strategies and identify areas for improvement.
- Stay current with the latest advancements in quantitative finance, machine learning, and algorithmic trading.
- Contribute to the firm's intellectual capital by publishing research and sharing findings with the team.
- Ensure compliance with all relevant regulations and internal policies.
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, financial modeling, or algorithmic trading.
- Strong proficiency in programming languages commonly used in quant finance (Python, C++, R).
- Deep understanding of statistical modeling, machine learning algorithms, and time series analysis.
- Familiarity with financial markets, instruments (equities, options, futures), and trading concepts.
- Experience with data analysis and visualization tools.
- Excellent problem-solving abilities and a keen eye for detail.
- Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and as part of a high-performing team in a demanding environment.
This advertiser has chosen not to accept applicants from your region.
2
Quantitative Analyst - Algorithmic Trading
395001 Surat, Gujarat
₹2000000 Annually
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Posted 14 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and proficient Quantitative Analyst to join their sophisticated algorithmic trading team. This role offers a hybrid work model, combining the flexibility of remote work with essential in-office collaboration. The ideal candidate will possess a strong background in mathematics, statistics, and computer science, with a passion for developing and implementing quantitative trading strategies. You will be responsible for designing, back-testing, and deploying sophisticated trading algorithms, analyzing market data, and identifying profitable opportunities.
Key responsibilities include developing and validating complex mathematical and statistical models for pricing, risk management, and trading. You will perform extensive data analysis on historical and real-time market data to identify patterns, correlations, and predictive signals. Designing, implementing, and optimizing trading algorithms using languages such as Python, R, or C++ will be a primary focus. Back-testing strategies against historical data to assess performance and robustness, and then deploying them into live trading environments will be crucial. Collaborating with portfolio managers and traders to understand their needs and translate them into quantitative solutions is essential. Monitoring the performance of live trading strategies, identifying and resolving issues, and continuously refining algorithms for improved profitability and risk-adjusted returns will be ongoing tasks. You will also contribute to the development of risk management frameworks and systems. The successful candidate will have a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience in quantitative finance, algorithmic trading, or statistical modeling is required. Strong programming skills, particularly in Python or C++, and experience with data analysis libraries are essential. Excellent problem-solving abilities and a deep understanding of financial markets are necessary. The ability to work effectively both independently and as part of a collaborative team in a fast-paced trading environment is critical. This is an exceptional opportunity for a skilled quantitative professional to make a significant impact on trading performance in a hybrid setting based in Surat, Gujarat, IN .
Key responsibilities include developing and validating complex mathematical and statistical models for pricing, risk management, and trading. You will perform extensive data analysis on historical and real-time market data to identify patterns, correlations, and predictive signals. Designing, implementing, and optimizing trading algorithms using languages such as Python, R, or C++ will be a primary focus. Back-testing strategies against historical data to assess performance and robustness, and then deploying them into live trading environments will be crucial. Collaborating with portfolio managers and traders to understand their needs and translate them into quantitative solutions is essential. Monitoring the performance of live trading strategies, identifying and resolving issues, and continuously refining algorithms for improved profitability and risk-adjusted returns will be ongoing tasks. You will also contribute to the development of risk management frameworks and systems. The successful candidate will have a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience in quantitative finance, algorithmic trading, or statistical modeling is required. Strong programming skills, particularly in Python or C++, and experience with data analysis libraries are essential. Excellent problem-solving abilities and a deep understanding of financial markets are necessary. The ability to work effectively both independently and as part of a collaborative team in a fast-paced trading environment is critical. This is an exceptional opportunity for a skilled quantitative professional to make a significant impact on trading performance in a hybrid setting based in Surat, Gujarat, IN .
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3
VP of Algorithmic Trading
248001 Dehradun, Uttarakhand
₹2500000 Annually
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Posted 7 days ago
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Job Description
Our client, a world-renowned quantitative hedge fund, is looking for an exceptional VP of Algorithmic Trading to lead their strategic development and execution of high-frequency trading strategies. This is a fully remote position, offering the opportunity to work from anywhere in India while contributing to a globally recognized financial powerhouse. You will be responsible for designing, developing, implementing, and managing cutting-edge algorithmic trading systems. This includes conceptualizing new trading strategies, optimizing existing ones, and ensuring the robustness and scalability of our trading infrastructure. The ideal candidate will have a profound understanding of financial markets, statistical modeling, machine learning, and distributed systems. You will lead a team of talented quantitative researchers and developers, fostering a culture of innovation and rigorous backtesting. Collaboration with senior management, portfolio managers, and risk officers is crucial for aligning trading strategies with the firm's overall investment objectives and risk appetite. Key responsibilities include conducting in-depth market microstructure analysis, developing low-latency execution algorithms, performing extensive strategy backtesting and validation, and monitoring real-time trading performance. Proficiency in programming languages such as C++, Python, and Java is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. We are seeking a candidate with a proven track record of success in developing and deploying profitable algorithmic trading strategies. This role demands exceptional analytical, problem-solving, and leadership skills, coupled with a relentless drive for quantitative excellence. The ability to work autonomously and manage complex projects in a remote setting is critical. This is a unique opportunity to shape the future of quantitative trading at a leading firm.
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4
Senior Algorithmic Trading Strategist
700001 Kolkata, West Bengal
₹120000 Annually
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Posted 10 days ago
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Job Description
Our client, a leading quantitative trading firm, is seeking a highly skilled and innovative Senior Algorithmic Trading Strategist to join their elite remote team. This is a groundbreaking opportunity to design, develop, and implement sophisticated trading algorithms and strategies that will drive market performance. You will be responsible for quantitative research, backtesting, and deploying trading models across various asset classes. This role requires a deep understanding of financial markets, statistical modeling, machine learning techniques, and programming languages such as Python or C++. You will work closely with portfolio managers and quantitative analysts to refine strategies and manage risk effectively. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Financial Engineering, Computer Science, Mathematics, Physics), a proven track record in developing profitable algorithmic trading strategies, and exceptional analytical and problem-solving skills. Experience with high-frequency trading (HFT) and large datasets is highly advantageous. This is a fully remote position, offering the flexibility to work from anywhere while contributing to our cutting-edge trading operations. You will be instrumental in identifying new trading opportunities, optimizing existing strategies, and ensuring the robustness and scalability of our trading infrastructure. We are looking for a visionary individual who can stay ahead of market trends and push the boundaries of quantitative finance. This role offers significant intellectual challenge and the potential for substantial rewards in a fast-paced, innovative environment. The successful candidate will be a self-starter with a passion for quantitative finance and a relentless drive for excellence. Your work will directly impact our trading success and contribute to the firm's profitability. You will be a key player in shaping the future of our trading strategies.
Key Responsibilities:
Key Responsibilities:
- Conduct quantitative research to identify and develop new trading opportunities and strategies.
- Design, develop, backtest, and deploy algorithmic trading models across various asset classes.
- Utilize statistical modeling, machine learning, and data mining techniques.
- Analyze market data and identify patterns and correlations for strategy development.
- Collaborate with portfolio managers and quantitative analysts to refine trading strategies and manage risk.
- Optimize trading algorithms for performance, latency, and efficiency.
- Monitor and evaluate the performance of deployed trading strategies.
- Stay current with the latest research and advancements in quantitative finance and algorithmic trading.
- Document trading strategies, methodologies, and system designs.
- Ensure compliance with all relevant regulations and firm policies.
- Ph.D. or Master's degree in Financial Engineering, Computer Science, Mathematics, Physics, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in algorithmic trading strategy development and quantitative research.
- Proven track record of developing and implementing profitable trading strategies.
- Strong programming skills in Python, C++, or other relevant languages.
- Expertise in statistical modeling, time series analysis, and machine learning.
- Deep understanding of financial markets and trading mechanisms.
- Experience with high-frequency trading (HFT) and low-latency systems is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage complex projects in a remote environment.
- Strong communication skills to articulate complex quantitative concepts.
This advertiser has chosen not to accept applicants from your region.
5
Senior Algorithmic Trading Strategist
302001 Jaipur, Rajasthan
₹1500000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client, a leading quantitative hedge fund known for its cutting-edge research and sophisticated trading strategies, is seeking a highly accomplished Senior Algorithmic Trading Strategist. This is a fully remote position for an individual passionate about developing and implementing high-frequency and mid-frequency trading algorithms across various global markets. You will play a key role in enhancing profitability and managing risk through innovative quantitative approaches.
Responsibilities:
Responsibilities:
- Design, develop, test, and deploy algorithmic trading strategies for equities, futures, options, and forex markets.
- Conduct in-depth market research and data analysis to identify profitable trading opportunities.
- Utilize advanced statistical methods and machine learning techniques to build predictive models.
- Collaborate with quantitative researchers, developers, and portfolio managers to refine strategies and execution logic.
- Optimize trading algorithms for speed, efficiency, and robustness.
- Monitor the performance of live trading strategies and make necessary adjustments.
- Develop and maintain high-quality code in languages such as Python, C++, or Java.
- Stay current with market microstructure, regulatory changes, and technological advancements in algorithmic trading.
- Contribute to the firm's intellectual property through innovative strategy development.
- Manage and analyze large datasets related to market data and trading performance.
- Master's or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative field.
- Minimum of 7 years of experience in algorithmic trading strategy development.
- Strong programming skills in Python, C++, or Java, with experience in relevant libraries and frameworks.
- Deep understanding of financial markets, trading execution, and market microstructure.
- Proven experience with statistical modeling, time series analysis, and machine learning techniques.
- Experience with high-frequency trading (HFT) strategies is a strong plus.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Ability to work independently and manage complex projects in a fully remote environment.
- Strong communication and teamwork skills, with the ability to articulate complex ideas clearly.
- Track record of successfully developing and deploying profitable trading strategies.
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6
Senior Quantitative Analyst - Algorithmic Trading
641001 Coimbatore, Tamil Nadu
₹1200000 Annually
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Posted today
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Job Description
Our client, a prominent player in the financial services industry, is seeking a highly skilled and results-oriented Senior Quantitative Analyst to join their sophisticated trading division in Coimbatore, Tamil Nadu, IN . This role demands a deep understanding of financial markets, statistical modeling, and programming to develop and implement cutting-edge algorithmic trading strategies. The ideal candidate will possess exceptional analytical abilities, a rigorous mathematical background, and proficiency in programming languages commonly used in quantitative finance.
Responsibilities:
Responsibilities:
- Design, develop, backtest, and deploy sophisticated quantitative trading strategies across various asset classes.
- Conduct in-depth research into market microstructure, statistical arbitrage, and other quantitative trading methodologies.
- Analyze large datasets to identify patterns, correlations, and trading opportunities.
- Collaborate with portfolio managers and traders to refine strategies and optimize trading execution.
- Develop and maintain robust risk management frameworks for trading strategies.
- Implement and optimize trading algorithms in a high-frequency trading environment.
- Build and maintain sophisticated financial models using statistical and machine learning techniques.
- Monitor the performance of trading strategies and conduct post-trade analysis.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Ensure compliance with all relevant regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Develop tools and dashboards for strategy monitoring and performance evaluation.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative research or algorithmic trading roles within the financial industry.
- Proven track record of developing and implementing successful trading strategies.
- Strong proficiency in programming languages such as Python, C++, or Java.
- Extensive experience with statistical modeling, machine learning, and data analysis techniques.
- Deep understanding of financial markets, derivatives, and trading platforms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark) is a plus.
- Familiarity with low-latency trading systems and co-location environments is advantageous.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Algorithmic Trading
530001 Visakhapatnam, Andhra Pradesh
₹1800000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking a highly analytical and results-driven Senior Quantitative Analyst to join their innovative and dynamic team, focused on algorithmic trading strategies. This is a fully remote role, offering the opportunity to work with a world-class financial institution from anywhere. You will be instrumental in developing, testing, and implementing sophisticated quantitative models and trading algorithms that drive profitability in global financial markets.
Key responsibilities include researching and developing new trading strategies, conducting rigorous back-testing and statistical analysis of market data, and optimizing existing algorithms for performance and risk management. You will collaborate closely with portfolio managers, traders, and software engineers to translate research findings into production-ready trading systems. This role requires a deep understanding of financial markets, statistical modeling, and programming. Proficiency in languages such as Python, C++, or R is essential, along with extensive experience with data analysis and machine learning techniques.
The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with a minimum of 6 years of relevant experience in quantitative finance, ideally within algorithmic trading or high-frequency trading environments. A strong track record of developing and deploying successful trading strategies is a must. Excellent analytical, problem-solving, and communication skills are required to articulate complex concepts and findings to both technical and non-technical stakeholders. This is an exceptional opportunity for a seasoned quant professional to contribute to cutting-edge financial technology from a remote location.
Key responsibilities include researching and developing new trading strategies, conducting rigorous back-testing and statistical analysis of market data, and optimizing existing algorithms for performance and risk management. You will collaborate closely with portfolio managers, traders, and software engineers to translate research findings into production-ready trading systems. This role requires a deep understanding of financial markets, statistical modeling, and programming. Proficiency in languages such as Python, C++, or R is essential, along with extensive experience with data analysis and machine learning techniques.
The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with a minimum of 6 years of relevant experience in quantitative finance, ideally within algorithmic trading or high-frequency trading environments. A strong track record of developing and deploying successful trading strategies is a must. Excellent analytical, problem-solving, and communication skills are required to articulate complex concepts and findings to both technical and non-technical stakeholders. This is an exceptional opportunity for a seasoned quant professional to contribute to cutting-edge financial technology from a remote location.
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8
Senior Quantitative Analyst - Algorithmic Trading
530001 Visakhapatnam, Andhra Pradesh
₹2500000 Annually
WhatJobs
Posted today
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Job Description
Our client, a leading financial institution known for its innovative trading strategies, is seeking a highly accomplished Senior Quantitative Analyst to join their fully remote trading desk. This role is critical in developing, implementing, and refining sophisticated algorithmic trading strategies across various asset classes. You will leverage advanced mathematical modeling, statistical analysis, and programming skills to identify market inefficiencies and generate alpha. This is a remote-first position, allowing you to work from anywhere in India and contribute to a high-performance, global team. The ideal candidate possesses a deep understanding of financial markets, stochastic calculus, and machine learning.
Key Responsibilities:
A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. A minimum of 7 years of relevant experience in quantitative finance, algorithmic trading, or statistical modeling within the financial industry is essential. Proven expertise in programming languages such as Python, C++, or R, and experience with data analysis libraries (e.g., NumPy, Pandas) and machine learning frameworks (e.g., TensorFlow, PyTorch) are critical. Strong understanding of financial markets, derivatives pricing, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are necessary to articulate complex quantitative concepts to both technical and non-technical audiences. The ability to work independently, manage multiple projects, and thrive in a demanding, fast-paced remote environment is paramount. Our client offers a highly competitive compensation package, performance-based bonuses, and extensive opportunities for professional growth at the forefront of financial innovation.
Key Responsibilities:
- Design, develop, backtest, and deploy quantitative trading algorithms.
- Analyze large datasets of market data to identify trading opportunities and patterns.
- Build and maintain statistical and machine learning models for prediction and risk management.
- Collaborate with traders and technologists to optimize strategy performance and execution.
- Monitor and manage the performance of live trading strategies, identifying and resolving issues proactively.
- Conduct research into new quantitative techniques and market microstructure.
- Develop robust risk management frameworks for trading strategies.
- Contribute to the improvement of trading infrastructure and data pipelines.
- Stay abreast of market developments, regulatory changes, and emerging technologies in quantitative finance.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. A minimum of 7 years of relevant experience in quantitative finance, algorithmic trading, or statistical modeling within the financial industry is essential. Proven expertise in programming languages such as Python, C++, or R, and experience with data analysis libraries (e.g., NumPy, Pandas) and machine learning frameworks (e.g., TensorFlow, PyTorch) are critical. Strong understanding of financial markets, derivatives pricing, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are necessary to articulate complex quantitative concepts to both technical and non-technical audiences. The ability to work independently, manage multiple projects, and thrive in a demanding, fast-paced remote environment is paramount. Our client offers a highly competitive compensation package, performance-based bonuses, and extensive opportunities for professional growth at the forefront of financial innovation.
This advertiser has chosen not to accept applicants from your region.
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