1,097 Derivatives Trading jobs in India
Quantitative Analyst - Derivatives Trading
Posted 20 days ago
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Job Description
Responsibilities:
- Develop and implement quantitative models for pricing and risk management of derivatives.
- Design and optimize trading algorithms and strategies.
- Perform statistical analysis and backtesting of trading strategies.
- Collaborate with traders and portfolio managers to identify market opportunities.
- Manage risk exposures and ensure compliance with regulatory requirements.
- Develop and maintain sophisticated analytical tools and systems.
- Conduct research on new financial instruments and market trends.
- Contribute to the development of performance attribution models.
- Communicate complex quantitative concepts to non-technical stakeholders.
- Stay current with advancements in quantitative finance and technology.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
- 3-7 years of experience as a Quantitative Analyst or similar role in investment banking, hedge funds, or asset management.
- Strong programming skills in Python, C++, or R.
- Solid understanding of derivatives, financial markets, and risk management.
- Experience with financial modeling, statistical analysis, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a fast-paced, team-oriented environment.
Senior Quantitative Analyst - Derivatives Trading
Posted 7 days ago
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Job Description
Key responsibilities include designing, backtesting, and deploying pricing and risk models for various financial instruments, particularly in the derivatives space. You will be responsible for analyzing market data, identifying patterns, and developing quantitative strategies to enhance trading profitability. Collaboration with technology teams to implement models and systems in production will be a significant part of your role. You will also contribute to the development of risk management frameworks, ensuring compliance with regulatory requirements and internal policies. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, and programming.
We require a Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, with a minimum of 5 years of relevant experience in a quantitative finance role. Strong programming skills in languages like Python, C++, or R are essential. Proven experience in developing and implementing quantitative models for derivatives pricing, hedging, and risk management is a must. Excellent analytical, problem-solving, and communication skills are required to effectively articulate complex ideas to both technical and non-technical stakeholders. Familiarity with financial databases and real-time market data is highly desirable. This hybrid role offers the flexibility to balance critical on-site collaboration with focused remote work, ensuring productivity and engagement. Join a leading firm and shape the future of quantitative finance.
Senior Quantitative Analyst - Derivatives Trading
Posted 15 days ago
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Graduate Analyst - Financial Markets
Posted 22 days ago
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Remote Quantitative Analyst - Financial Markets
Posted 1 day ago
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Job Description
Responsibilities:
- Develop and implement quantitative models for pricing, risk management, and algorithmic trading strategies across various asset classes.
- Conduct rigorous back-testing and statistical analysis of trading models to assess performance and identify areas for improvement.
- Collaborate with portfolio managers and traders to translate market insights into actionable trading strategies.
- Analyze large datasets to identify market patterns, inefficiencies, and potential investment opportunities.
- Build and maintain high-performance trading infrastructure and tools.
- Monitor market conditions and model performance, making necessary adjustments to ensure optimal results.
- Research and explore new quantitative techniques and methodologies to enhance trading algorithms.
- Work closely with software engineers to integrate quantitative models into production trading systems.
- Clearly document research findings, model methodologies, and trading strategy logic.
- Ensure compliance with regulatory requirements and firm policies.
- Stay current with academic research and industry developments in quantitative finance.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative finance, quantitative trading, or a related analytical role.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, Pandas, SciPy), C++, or R.
- Strong knowledge of statistical modeling, time series analysis, machine learning, and econometrics.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with large-scale data analysis and database management (e.g., SQL).
- Proven ability to work independently and manage complex projects in a remote environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
- Experience with high-frequency trading strategies or market microstructure is a plus.
- A genuine passion for financial markets and quantitative research.
Senior Quantitative Analyst - Financial Markets
Posted 3 days ago
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Job Description
Responsibilities:
- Develop, backtest, and implement quantitative trading strategies and models for various asset classes (e.g., equities, fixed income, derivatives).
- Design and refine algorithms for pricing, hedging, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and risks.
- Collaborate with front-office traders and portfolio managers to understand their needs and provide quantitative support.
- Work closely with the technology team to ensure efficient implementation and deployment of trading systems and models.
- Perform rigorous validation and stress testing of quantitative models.
- Monitor the performance of trading strategies and models, making necessary adjustments and improvements.
- Contribute to the research and development of new quantitative methodologies and financial products.
- Stay abreast of academic research, market trends, and regulatory changes impacting quantitative finance.
- Document methodologies, models, and results clearly and comprehensively.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Ensure compliance with all relevant financial regulations and firm policies.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading within the financial services industry.
- Strong proficiency in programming languages such as Python, C++, R, or MATLAB.
- Deep understanding of stochastic calculus, time series analysis, econometrics, and statistical modeling.
- Expertise in financial derivatives, risk management, and portfolio theory.
- Experience with large datasets and database management (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, demanding environment.
- Familiarity with machine learning techniques applied to finance is a plus.
Junior Business Analyst, Financial Markets
Posted 5 days ago
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Job Description
Key Responsibilities:
- Assist senior analysts in collecting and analyzing financial market data.
- Support the preparation of client reports and presentations.
- Help in monitoring market trends and identifying potential investment opportunities or risks.
- Collaborate with cross-functional teams on various finance-related projects.
- Contribute to the documentation of business processes and requirements.
- Assist in user acceptance testing (UAT) for new financial systems or features.
- Learn and apply principles of financial analysis and modeling.
- Ensure compliance with internal policies and regulatory requirements.
- Participate in team meetings and provide updates on assigned tasks.
- Develop a strong understanding of various financial instruments and market dynamics.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Finance, Economics, Business, Mathematics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Proficiency in Microsoft Excel; experience with financial modeling is a plus.
- Basic understanding of financial markets and investment principles.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and adapt quickly to new challenges.
- Familiarity with data visualization tools is advantageous.
- Strong organizational and time management skills.
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Junior Analyst, Financial Markets Research
Posted 5 days ago
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The ideal candidate will have a Bachelor's degree in Finance, Economics, Statistics, or a related field. Strong Excel skills, including proficiency in data manipulation and charting, are required. Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus. You should possess excellent written and verbal communication skills, with the ability to articulate complex financial concepts clearly and concisely. A keen interest in financial markets, economic policies, and global business trends is paramount. This role demands a proactive approach, a willingness to learn, and the ability to work effectively both independently and as part of a team. You will be exposed to various facets of financial analysis, market research, and investment banking. Opportunities for professional development and mentorship will be provided, allowing you to build a solid foundation for a successful career in finance. We are looking for enthusiastic individuals eager to contribute to our client's success.
Key Responsibilities:
- Assist in collecting and organizing financial market data from various sources.
- Perform quantitative analysis of economic and market trends.
- Contribute to the development of financial models and forecasts.
- Research specific industries, companies, and investment products.
- Help prepare market research reports, summaries, and presentations.
- Monitor financial news and identify relevant market developments.
- Support senior analysts with ad-hoc research requests.
- Ensure accuracy and integrity of data used in analyses.
- Collaborate with team members on research projects.
Senior Quantitative Analyst, Financial Markets
Posted 5 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and backtest quantitative trading strategies across various asset classes.
- Design and refine pricing models for derivatives and other complex financial instruments.
- Build and maintain risk management frameworks and models to assess and mitigate market exposure.
- Analyze large, high-frequency trading data to identify patterns, correlations, and anomalies.
- Collaborate closely with traders, portfolio managers, and technologists to integrate quantitative insights into decision-making processes.
- Research and apply advanced statistical, econometric, and machine learning techniques to financial modeling problems.
- Optimize existing models and algorithms for performance, efficiency, and robustness.
- Clearly document research findings, model methodologies, and implementation details.
- Contribute to the continuous improvement of the firm's quantitative infrastructure and tools.
- Effectively communicate complex quantitative concepts and results to diverse audiences within the firm.
- Participate in an agile, remote-first team environment, contributing to a culture of innovation and excellence.
- Ph.D. or Master's degree in a highly quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5-7 years of relevant experience in quantitative finance, asset management, or hedge funds.
- Proven track record in developing and implementing successful quantitative trading or pricing models.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Deep understanding of financial markets, instruments, and trading concepts.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with large datasets and data manipulation tools.
- Excellent analytical, problem-solving, and research capabilities.
- Strong written and verbal communication skills, with the ability to explain complex topics clearly.
- Demonstrated ability to work independently and collaboratively in a remote setting.
Senior Quantitative Analyst - Financial Markets
Posted 6 days ago
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Job Description
Responsibilities:
- Develop, implement, and backtest quantitative models for financial markets.
- Design and optimize algorithmic trading strategies.
- Perform complex statistical analysis and risk modeling.
- Price and hedge financial derivatives and other complex instruments.
- Collaborate with traders, portfolio managers, and risk management teams.
- Conduct research into new quantitative methodologies and financial instruments.
- Ensure the accuracy and efficiency of quantitative models and systems.
- Communicate complex quantitative concepts to both technical and non-technical stakeholders.
- Monitor market trends and identify new trading opportunities.
- Contribute to the development of the firm's quantitative infrastructure.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- 5+ years of experience in quantitative analysis within the financial services industry.
- Strong knowledge of financial markets, instruments, and derivatives.
- Proficiency in programming languages like Python, R, C++, or Java.
- Experience with statistical modeling, time series analysis, and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a fast-paced, deadline-driven environment.
- Experience with risk management frameworks and regulatory requirements.
- Ability to work effectively in a hybrid work setting.