4,843 Quantitative Analyst jobs in India
Quantitative Analyst
Posted 5 days ago
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Join us as a Quantitative Analyst AVP Treasury and Liquidity Risk at a leading UK Bank, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.
You will be responsible for developing best in class treasury and liquidity models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python or R or C++, as well as job-specific skillsets.
To be a successful Quantitative Analyst AVP in Treasury and Liquid risk you should have experience with:
Treasury Models (Deterministic Model)
1 (A). You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) - Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation.
Treasury Models (Statistical Model)
1(B). You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) - Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation
2.Hands on coding experience (as a full-stack developer / agile developer etc.
3.Preferable language is Python, C/C++ etc).
4.Hand on experience in Model Development and/or Model Validation (core development experience preferred)/Model Implementation.
5.Experience in IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting.
You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
Job location of this role is Mumbai.
Quantitative Analyst
Posted 11 days ago
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Quantitative Analyst
Posted 15 days ago
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Responsibilities:
- Develop, implement, and maintain quantitative models for financial analysis, risk management, and trading.
- Perform statistical analysis, data mining, and forecasting.
- Design and conduct backtesting of trading strategies and financial models.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide analytical support.
- Communicate complex quantitative concepts and results to non-technical audiences.
- Ensure model accuracy, robustness, and compliance with regulatory requirements.
- Research and explore new quantitative techniques and financial instruments.
- Contribute to the development of proprietary trading systems and analytics platforms.
- Master's or Ph.D. in a quantitative discipline (Mathematics, Statistics, Economics, Physics, Computer Science, or related).
- 2-5 years of experience in quantitative analysis within the financial industry.
- Strong programming skills in Python, R, C++, or similar languages.
- Experience with financial data analysis libraries and tools.
- Solid understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively both independently and as part of a team in a hybrid work environment.
- Strong communication and presentation skills.
Quantitative Analyst (Quant)
Posted 4 days ago
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Key Responsibilities:
- Develop, test, and implement quantitative trading algorithms and strategies using programming languages such as Python, C++, or R.
- Build and maintain financial models for pricing derivatives, analyzing market data, and forecasting financial variables.
- Conduct rigorous backtesting and statistical analysis of trading strategies to evaluate performance and risk.
- Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
- Research and analyze market trends, economic data, and news to identify potential trading opportunities.
- Contribute to the development of risk management frameworks and tools.
- Ensure the accuracy and efficiency of quantitative models and systems.
- Stay up-to-date with the latest advancements in quantitative finance, machine learning, and data science.
- Prepare clear and concise documentation of models, methodologies, and research findings.
- Work effectively within a collaborative team environment, sharing knowledge and insights.
- Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Proven experience (2+ years) as a Quantitative Analyst, Quant Trader, or in a similar quantitative role within the financial industry.
- Strong programming skills in Python, C++, or R, with experience in numerical libraries (e.g., NumPy, SciPy) and data analysis tools.
- Solid understanding of financial markets, derivatives pricing, risk management, and portfolio theory.
- Experience with statistical modeling, time series analysis, machine learning techniques, and econometrics.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
- Familiarity with large datasets and database technologies is a plus.
- Ability to work under pressure and meet tight deadlines in a fast-paced trading environment.
Quantitative Analyst (Quant)
Posted 4 days ago
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Quantitative Analyst (Quant)
Posted 20 days ago
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Quantitative Analyst (Quant)
Posted 22 days ago
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Senior Quantitative Analyst
Posted today
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Key Responsibilities:
- Design, develop, and implement quantitative trading strategies and models for equities, derivatives, and other financial instruments.
- Conduct in-depth statistical analysis and data mining of market data to identify trading patterns and opportunities.
- Perform rigorous back-testing and performance analysis of trading algorithms.
- Build and maintain robust, high-frequency trading infrastructure and execution systems.
- Collaborate with traders and portfolio managers to refine strategies and improve trading performance.
- Develop risk management models and tools to monitor and control portfolio risk exposures.
- Research and stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Present findings and recommendations to senior management and investment committees.
- Ensure compliance with all relevant regulatory requirements and internal policies.
- 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 analysis, trading strategy development, or related roles within the financial industry.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, MATLAB).
- Strong understanding of financial markets, derivatives pricing, and risk management principles.
- Experience with large-scale data analysis and database management.
- Proven ability to develop and implement complex mathematical models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with machine learning techniques applied to finance is highly desirable.
Senior Quantitative Analyst
Posted today
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Key Responsibilities:
- Develop, validate, and implement quantitative models for financial markets.
- Perform complex statistical analysis and data mining on large datasets.
- Design and backtest trading algorithms and strategies.
- Assess and quantify market, credit, and operational risks.
- Collaborate with trading desks and portfolio managers to provide analytical support.
- Ensure model robustness and compliance with regulatory standards (e.g., Basel III, Dodd-Frank).
- Develop dashboards and reports to visualize key risk and performance metrics.
- Stay current with the latest advancements in quantitative finance and financial technology.
- Mentor junior analysts and contribute to the team's technical expertise.
- Master's or Ph.D. in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of financial markets, derivatives, and risk management principles.
- Experience with statistical modeling, machine learning, and data analysis techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts.
- Experience with large-scale data processing and cloud platforms is a plus.
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and validate complex quantitative models for risk management, pricing, valuation, and forecasting.
- Conduct in-depth statistical analysis of large datasets to identify trends, patterns, and potential risks.
- Design and execute back-testing procedures for financial models to assess their accuracy and reliability.
- Collaborate with business stakeholders, including traders, portfolio managers, and risk officers, to understand their needs and translate them into quantitative solutions.
- Generate comprehensive reports and presentations summarizing model results, insights, and recommendations for senior management.
- Stay abreast of regulatory changes and industry best practices in quantitative finance and risk management.
- Develop and maintain documentation for all models, methodologies, and processes.
- Mentor and guide junior quantitative analysts, providing technical support and feedback.
- Explore and implement new analytical techniques and technologies to enhance modeling capabilities.
- Ensure compliance with all relevant financial regulations and internal policies.
- Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or a related discipline.
- Minimum of 6 years of experience in quantitative analysis within the banking or financial services industry.
- Strong expertise in statistical modeling, time series analysis, econometrics, and financial mathematics.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and data manipulation tools.
- Solid understanding of financial markets, instruments, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work effectively both independently and as part of a team in a fast-paced environment.
- Familiarity with machine learning techniques applied to finance is a plus.
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