20 Senior Quantitative Analyst Investment Banking jobs in whatjobs
Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team. This is a fully remote position, offering a unique opportunity to leverage your quantitative skills in a flexible work environment. You will be responsible for developing and implementing sophisticated mathematical models for pricing complex financial derivatives, managing risk, and optimizing trading strategies. This involves using advanced statistical techniques, programming languages (e.g., Python, C++, R), and financial modeling software. You will work closely with traders, portfolio managers, and risk management professionals to provide insights and solutions that drive business decisions. The role requires a deep understanding of financial markets, derivatives, and econometrics. You will contribute to the design and back-testing of trading algorithms, perform scenario analysis, and conduct research into new quantitative methodologies. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with a minimum of 5 years of relevant experience in investment banking or hedge funds. Exceptional programming skills and a proven ability to translate complex mathematical concepts into practical applications are essential. Strong communication skills are required to articulate findings and recommendations to both technical and non-technical audiences. This remote role demands a proactive, detail-oriented individual with a strong problem-solving aptitude and the ability to work independently while collaborating effectively with a globally distributed team. You will play a crucial role in enhancing the firm's quantitative capabilities and contributing to its competitive edge in the financial markets. We are looking for a candidate who is passionate about financial modeling, eager to tackle challenging quantitative problems, and committed to continuous learning in the rapidly evolving world of finance. The ability to manage large datasets and conduct rigorous analysis within a remote setup is paramount for success.
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Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their sophisticated risk management and trading strategies team. This is a fully remote position, offering the unique opportunity to work on complex financial modeling and analytics from anywhere in the world. You will be responsible for developing, implementing, and validating complex mathematical models used for pricing derivatives, managing risk, and optimizing trading strategies. This role requires a deep understanding of financial markets, stochastic calculus, statistical modeling, and programming. You will collaborate closely with traders, portfolio managers, and risk officers to provide critical quantitative insights and solutions. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science, coupled with extensive experience in the financial industry. Strong programming skills in languages like Python, C++, or R are essential. The ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences is paramount.
Responsibilities:
Responsibilities:
- Develop and implement advanced quantitative models for derivative pricing, hedging, and risk management.
- Design and backtest trading strategies using historical market data.
- Perform rigorous statistical analysis and data mining on large financial datasets.
- Collaborate with front-office and risk management teams to understand their quantitative needs.
- Translate business requirements into robust mathematical models and efficient code.
- Validate model performance and identify areas for improvement.
- Ensure compliance with regulatory requirements and internal risk policies.
- Stay current with the latest advancements in quantitative finance and financial modeling.
- Communicate complex quantitative findings and model methodologies to stakeholders.
- Contribute to the development of the firm's quantitative infrastructure and tools.
- Ph.D. or Master's degree in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative discipline.
- 5+ years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong knowledge of stochastic calculus, time series analysis, and statistical modeling.
- Proficiency in programming languages such as Python, C++, or R.
- Experience with financial modeling libraries and frameworks.
- Familiarity with various financial instruments, including equities, fixed income, and derivatives.
- Excellent problem-solving, analytical, and quantitative skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and manage multiple projects in a remote environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking an exceptionally talented Senior Quantitative Analyst to join their innovative, fully remote team. This role is integral to developing sophisticated mathematical models and algorithms that underpin critical financial trading strategies, risk management, and derivative pricing. The ideal candidate will possess a deep understanding of financial markets, advanced statistical and mathematical methodologies, and proficiency in programming languages such as Python, C++, or R. You will collaborate closely with traders, portfolio managers, and risk officers to design, implement, and validate complex quantitative models. Responsibilities include researching and developing new pricing and hedging models for a wide range of financial instruments, performing back-testing and sensitivity analysis, and contributing to the enhancement of trading systems. This position offers the unique opportunity to work at the forefront of quantitative finance, solving challenging problems in a fast-paced, dynamic environment. The remote-first nature of this role requires outstanding communication and collaboration skills, with a strong emphasis on clear articulation of complex concepts to both technical and non-technical stakeholders. We are looking for a highly analytical and driven individual with a passion for quantitative finance and a commitment to rigorous research and development. The ability to work independently, manage multiple projects simultaneously, and deliver high-quality results under pressure is essential.
Responsibilities:
Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Design and analyze sophisticated trading strategies and risk management frameworks.
- Perform statistical analysis, back-testing, and scenario modeling for financial instruments.
- Write efficient and robust code in languages such as Python, C++, or R.
- Collaborate with traders, portfolio managers, and risk teams to understand their needs.
- Research and develop innovative pricing and hedging models for derivatives.
- Contribute to the enhancement and optimization of trading systems and platforms.
- Stay abreast of the latest advancements in quantitative finance and financial technology.
- Prepare detailed documentation and present findings to stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a highly reputable financial institution, is seeking an accomplished Senior Quantitative Analyst to join their investment banking division in a fully remote capacity. This critical role involves developing and implementing sophisticated mathematical models and algorithms to support trading strategies, risk management, and derivative pricing. You will leverage your expertise in statistical analysis, machine learning, and programming to derive actionable insights from complex financial data. The ideal candidate will possess a deep understanding of financial markets, a strong quantitative background, and proven experience in building and validating predictive models. Responsibilities include collaborating with traders and portfolio managers to identify opportunities, designing and testing new financial instruments, and ensuring the accuracy and reliability of analytical tools. This position demands exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, hedging, and risk management of financial derivatives.
- Design and test algorithms for algorithmic trading strategies and portfolio optimization.
- Analyze large datasets to identify market trends, patterns, and investment opportunities.
- Conduct rigorous back-testing and validation of models and trading strategies.
- Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative support.
- Research and implement new quantitative techniques and technologies, including machine learning and AI.
- Ensure the accuracy, reliability, and robustness of all quantitative models and systems.
- Prepare reports and presentations summarizing quantitative findings and recommendations.
- Contribute to the development and enhancement of the firm's quantitative infrastructure.
- Stay abreast of regulatory changes and their impact on quantitative finance.
Qualifications:
- Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis, with a focus on financial modeling and derivative pricing within investment banking or hedge funds.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or Java.
- Strong experience with statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, fixed income, equities, and derivatives.
- Experience with risk management frameworks and regulatory requirements (e.g., Basel III).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts clearly.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with high-performance computing and big data technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst (Investment Banking)
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious investment bank, is seeking a highly analytical and accomplished Senior Quantitative Analyst to join their sophisticated trading and risk management division. This position is fully remote, allowing top-tier quantitative minds to contribute to our global financial operations from anywhere in Kenya. You will be responsible for developing, implementing, and validating complex mathematical models for pricing financial derivatives, managing risk, and optimizing trading strategies. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling, and advanced programming skills. You will work closely with traders, portfolio managers, and risk officers to provide critical insights and support strategic decision-making.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing and risk management of various financial instruments (e.g., equities, fixed income, FX, derivatives).
- Design and backtest trading strategies based on quantitative analysis.
- Conduct statistical analysis of market data to identify patterns and opportunities.
- Perform scenario analysis and stress testing to assess portfolio risk.
- Collaborate with front-office teams (trading, sales) to provide quantitative support and solutions.
- Work with IT and development teams to implement models into production trading systems.
- Validate model performance and conduct ongoing research to improve model accuracy and efficiency.
- Ensure compliance with regulatory requirements and internal risk policies.
- Communicate complex quantitative concepts and findings to non-technical stakeholders.
- Stay current with advancements in financial engineering, econometrics, and computational finance.
- Mentor junior quantitative analysts and contribute to team development.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- 5+ years of experience as a Quantitative Analyst in investment banking, asset management, or a related financial services environment.
- Strong expertise in financial derivatives pricing and risk management models.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Solid understanding of statistical methods, stochastic calculus, and numerical techniques.
- Experience with large datasets and data manipulation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex models to diverse audiences.
- Ability to work independently, manage multiple projects, and meet tight deadlines in a remote setting.
- Knowledge of regulatory frameworks affecting financial markets is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their dynamic and fully remote team. This role is critical for developing and implementing sophisticated mathematical models and analytical tools that drive investment strategies and risk management. You will leverage your expertise in statistical modeling, machine learning, and financial mathematics to solve complex problems within capital markets. The ideal candidate will possess a strong academic background, exceptional programming skills, and a deep understanding of financial products and trading. Your responsibilities will include designing, testing, and deploying quantitative models for areas such as derivative pricing, risk assessment, portfolio optimization, and algorithmic trading. You will collaborate closely with traders, portfolio managers, and risk officers to provide actionable insights and innovative solutions. This position demands rigorous analytical thinking, meticulous attention to detail, and the ability to communicate complex quantitative concepts to both technical and non-technical audiences in a remote setting. We are looking for a proactive individual who can identify new opportunities for quantitative analysis and contribute to the firm's competitive edge. The ability to work independently, manage challenging projects, and maintain the highest standards of accuracy is essential.
Key Responsibilities:
If you are a highly analytical and technically proficient individual ready to make a significant impact, we invite you to apply.
Key Responsibilities:
- Develop, implement, and validate advanced quantitative models for financial markets.
- Design and backtest trading strategies and risk management systems.
- Price complex derivatives and analyze market risk exposures.
- Utilize statistical modeling, machine learning, and econometrics to derive insights.
- Collaborate with business stakeholders to understand their needs and deliver tailored quantitative solutions.
- Write efficient and robust code in languages such as Python, C++, or R.
- Contribute to the firm's research efforts in quantitative finance.
- Monitor model performance and implement necessary adjustments.
- Communicate complex quantitative findings clearly and concisely to diverse audiences.
- Stay current with the latest developments in quantitative finance and computational finance.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis within investment banking or asset management.
- Expert proficiency in programming languages like Python, C++, Java, or R.
- Strong knowledge of financial markets, derivatives, risk management, and portfolio theory.
- Experience with machine learning techniques and libraries (e.g., Scikit-learn, TensorFlow).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, comfortable working remotely.
- Proven ability to work independently and manage multiple projects concurrently.
If you are a highly analytical and technically proficient individual ready to make a significant impact, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious international investment bank, is seeking a highly analytical and mathematically gifted Senior Quantitative Analyst to join their globally distributed, fully remote team. This critical role involves developing, implementing, and validating complex mathematical models and algorithms used in financial trading, risk management, and portfolio optimization. You will leverage your deep understanding of stochastic calculus, probability theory, and statistical modeling to create innovative solutions that drive trading strategies and enhance risk assessment capabilities. The ideal candidate will have extensive experience in programming languages commonly used in quantitative finance, such as Python, C++, or R, and a strong command of financial markets and instruments. Responsibilities include designing pricing and hedging models for derivatives, developing algorithms for high-frequency trading, and building risk models to assess market and credit risk. You will also be involved in back-testing strategies and conducting rigorous performance analysis. The ability to translate complex quantitative concepts into clear, concise explanations for non-technical stakeholders is essential. This role demands a proactive mindset, exceptional problem-solving abilities, and a passion for uncovering insights from vast datasets. As a fully remote professional, you must exhibit outstanding self-discipline, organizational skills, and the ability to communicate effectively across time zones. Your contributions will directly impact the firm's trading performance and risk profile.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing, hedging, and risk management of financial instruments.
- Design and back-test trading algorithms and strategies for various asset classes.
- Analyze large datasets to identify market trends, trading opportunities, and potential risks.
- Build and validate statistical and machine learning models for predictive analytics.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
- Communicate complex quantitative concepts and findings to both technical and non-technical audiences.
- Ensure the accuracy and robustness of models through rigorous testing and validation.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and financial technology.
- Contribute to the firm's intellectual capital through research and development.
- Adhere to regulatory requirements and internal risk policies.
- Master's degree or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 8 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Advanced programming skills in Python, C++, or R, including relevant libraries (e.g., NumPy, SciPy, Pandas).
- Strong understanding of financial markets, derivatives pricing, and risk management principles.
- Experience with statistical modeling, machine learning, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation abilities.
- Proven ability to work independently and manage multiple priorities in a remote environment.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Quantitative Analyst - Investment Banking
Posted 18 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst (Quant) to join their remote-based trading strategy and risk management team. This role is critical in developing, implementing, and validating complex mathematical models used in financial markets. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with extensive experience in quantitative finance. You will be responsible for designing and backtesting trading algorithms, developing pricing models for derivatives, performing risk analysis, and contributing to the firm's overall investment strategies. Key responsibilities include collaborating with portfolio managers and traders to identify trading opportunities and manage risk, conducting rigorous research into market behavior, and building robust statistical and machine learning models. The successful candidate will have expert-level programming skills in languages like Python, C++, or R, and proficiency in data analysis and statistical software. A strong understanding of financial markets, financial instruments, and trading strategies is essential. This role demands exceptional problem-solving abilities, meticulous attention to detail, and the capacity to communicate complex quantitative concepts to non-technical stakeholders. This is an unparalleled opportunity to contribute to sophisticated financial modeling and trading strategies from a remote position, supporting operations related to Malindi, Kilifi, KE and global markets. If you are a top-tier quant with a passion for financial markets and a desire to work remotely at the highest level, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their remote-based trading strategies team. This is a critical role requiring exceptional analytical, mathematical, and programming abilities to develop and implement sophisticated trading algorithms and risk management models. The successful candidate will work on complex financial instruments, leveraging advanced statistical techniques and machine learning to identify profitable trading opportunities and manage market risks. This position offers a challenging and rewarding opportunity to contribute to the firm's success from a remote location, working with a talented and collaborative global team.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative trading strategies across various asset classes (equities, fixed income, derivatives, etc.).
- Design and build sophisticated financial models for pricing, risk management, and portfolio optimization.
- Utilize advanced statistical methods, machine learning, and data mining techniques to analyze large datasets and extract actionable insights.
- Collaborate closely with portfolio managers, traders, and technologists to refine strategy performance and implement new models.
- Conduct rigorous backtesting and performance analysis of trading strategies.
- Identify and mitigate potential risks associated with trading strategies and model implementation.
- Contribute to the development of the firm's trading infrastructure and analytics platforms.
- Stay abreast of the latest research in quantitative finance, machine learning, and financial econometrics.
- Communicate complex quantitative concepts and results clearly and effectively to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Ensure the accuracy, integrity, and efficiency of all quantitative models and systems.
- Participate in the continuous improvement of trading processes and methodologies.
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of relevant experience in quantitative finance, algorithmic trading, or related roles within investment banking or hedge funds.
- Strong programming skills in languages such as Python, C++, Java, or R.
- Expertise in statistical modeling, time series analysis, machine learning algorithms, and numerical methods.
- Deep understanding of financial markets, derivatives, and trading strategies.
- Proven ability to develop and implement complex quantitative models from conception to production.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative team environment.
- Experience with big data technologies and distributed computing frameworks is a plus.
- Familiarity with regulatory requirements in financial markets.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst (Investment Banking)
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking a highly analytical and mathematically gifted Senior Quantitative Analyst to join their sophisticated, fully remote trading strategies team. This challenging role involves developing, implementing, and validating complex mathematical models for pricing derivatives, managing risk, and optimizing trading strategies across various asset classes. The ideal candidate will possess a profound understanding of financial markets, stochastic calculus, time series analysis, and advanced statistical modeling techniques. Responsibilities include designing and back-testing trading algorithms, performing rigorous stress testing and scenario analysis, and contributing to the firm's technological infrastructure for quantitative research. You will work closely with portfolio managers and traders, providing critical insights and quantitative support. Strong programming skills in languages such as Python, C++, or R are essential, along with experience in database management and big data technologies. The ability to translate complex mathematical concepts into practical trading applications is crucial. This is a remote position, requiring excellent communication and collaboration skills to effectively engage with colleagues across different time zones. A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, or Computer Science is required, along with a minimum of 6 years of relevant experience in investment banking or a related financial services environment. A proven track record of successful model development and implementation is essential. If you are a visionary quant with a passion for innovation in financial markets and thrive in a challenging, remote work environment, we invite you to apply. Contribute your expertise to a leading financial institution and shape the future of quantitative finance.
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