54 Trading Associate jobs in India

This role includes Risk Analysis, assessment, monitoring & mitigation of the clients trading portfolio across all asset classes (Equities/Currencies/FI instruments/Commodities).

Experience: 1 to 3 years

Roles & Responsibilities:

• Market Risk Monitoring
• Monitoring & mitigation of the clients trading portfolio.
• Communication and co-ordination between various stakeholders to highlight the risk & take action wherever possible
• Review of risk management policies including the quantification of our risk appetite through specific risk limits
• Branch/Business Servicing, query resolution related to Risk.
• Assess exceptions to above mentioned frameworks/policies.
• Funding approval/LAS approval
• Prepare periodic Dashboard, analysis for reporting to senior authorities.
• Process improvement & Automation.
• UAT testing and signing off the same for GO live.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.