7 Senior Quantitative Analyst Quant Remote jobs in whatjobs
Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst (Quant) to join their sophisticated remote trading and risk management team. This role is crucial for developing and implementing complex mathematical models, pricing derivatives, and managing financial risk in dynamic markets. You will be responsible for designing, coding, and testing quantitative models for trading strategies, risk assessment, and portfolio optimization. The ideal candidate will possess a strong academic background in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with significant experience in quantitative finance. Proficiency in programming languages like Python, C++, or R is essential, as is a deep understanding of financial markets, derivative products, and statistical modeling techniques. You will work collaboratively with traders, portfolio managers, and IT professionals to translate business needs into robust quantitative solutions. This fully remote position demands exceptional problem-solving skills, meticulous attention to detail, and the ability to work independently under pressure. Your contributions will directly impact trading strategies, risk mitigation, and overall profitability. The role involves the development of sophisticated algorithms for algorithmic trading, option pricing, and value-at-risk (VaR) calculations. You will also be involved in back-testing strategies and performance attribution. The ability to communicate complex quantitative concepts clearly to non-technical stakeholders is a key requirement for this role.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing derivatives and managing financial risk.
- Design and code trading algorithms and strategies.
- Conduct statistical analysis of market data to identify trading opportunities.
- Build and maintain tools for risk management, including VaR and stress testing.
- Collaborate with traders and portfolio managers to support investment decisions.
- Perform back-testing and validation of quantitative models and strategies.
- Ensure the accuracy and reliability of financial models and data.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- Communicate complex quantitative concepts and results to stakeholders.
- Contribute to the continuous improvement of quantitative methodologies and infrastructure.
- Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Expertise in financial modeling, derivative pricing, and risk management techniques.
- Strong programming skills in Python, C++, or R.
- In-depth knowledge of statistical modeling, time series analysis, and machine learning algorithms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage priorities effectively in a remote setting.
- Strong communication and presentation skills.
- Familiarity with the financial markets in regions like Thika, Kiambu, KE might provide context, but is not required for this global remote position.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
Job Viewed
Job Description
Our esteemed financial institution is seeking a highly skilled and analytical Senior Quantitative Analyst (Quant) to join their pioneering remote team. Based remotely, you will play a crucial role in developing and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and portfolio optimization. The ideal candidate will possess a strong background in mathematics, statistics, finance, and advanced programming skills, coupled with a proven ability to translate complex financial concepts into practical quantitative solutions. This position offers an exceptional opportunity to leverage your expertise in a challenging and rewarding virtual environment.
Responsibilities:
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing derivatives, hedging risk, and developing algorithmic trading strategies.
- Conduct in-depth statistical analysis of financial markets data to identify trading opportunities and patterns.
- Develop and maintain risk management frameworks and stress testing methodologies.
- Collaborate closely with traders, portfolio managers, and other stakeholders to understand their quantitative needs and deliver tailored solutions.
- Perform back-testing and performance analysis of trading strategies.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Optimize existing models for performance, accuracy, and efficiency.
- Contribute to the firm's quantitative research initiatives and thought leadership.
- Document models, methodologies, and results clearly and comprehensively.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team development.
- Master's degree 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 within the financial services industry.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Proficiency in statistical modeling, machine learning techniques, and numerical methods.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Experience with large datasets and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Demonstrated ability to work independently and manage multiple priorities in a remote setting.
- Experience with high-frequency trading strategies and low-latency systems is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
Job Viewed
Job Description
Our client is a leading global financial institution renowned for its sophisticated trading strategies and cutting-edge quantitative research. We are actively seeking a highly skilled and experienced Senior Quantitative Analyst (Quant) to join our elite, fully remote team. This role is integral to the development and implementation of complex mathematical models and algorithms that drive our trading strategies across various asset classes. You will be at the forefront of financial innovation, leveraging advanced statistical techniques, programming skills, and deep market knowledge. The ideal candidate possesses a rigorous academic background, exceptional analytical capabilities, and a proven track record in quantitative finance. Responsibilities include designing, testing, and deploying pricing models, risk management systems, and algorithmic trading strategies. You will collaborate closely with portfolio managers, traders, and technology teams to identify trading opportunities, manage risk, and enhance overall portfolio performance. Proficiency in programming languages such as Python, C++, or R, along with experience in large-scale data analysis and high-frequency trading environments, is essential. We are looking for an individual who thrives in a challenging, fast-paced environment, possesses a keen intellect, and is passionate about applying quantitative methods to solve complex financial problems. Your expertise will be critical in maintaining our client's competitive edge in the global markets. This position offers the unique opportunity to work on intellectually stimulating projects with significant impact, all from a flexible remote work setup.
Responsibilities:
Responsibilities:
- Develop, implement, and backtest quantitative trading strategies and financial models.
- Design and optimize algorithms for pricing, risk management, and execution.
- Conduct in-depth statistical analysis of market data to identify patterns and opportunities.
- Collaborate with traders and portfolio managers to refine trading strategies.
- Work closely with software engineers to deploy models and systems into production.
- Monitor and analyze the performance of trading algorithms and models.
- Research and explore new quantitative techniques and methodologies.
- Manage and process large datasets for analytical purposes.
- Ensure the integrity and accuracy of quantitative models and data.
- Contribute to the development of risk management frameworks.
- Stay current with market trends, regulatory changes, and technological advancements.
- Master's degree 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 within the financial services industry.
- Expert proficiency in programming languages like Python, C++, or R.
- Strong understanding of financial markets, derivatives, and trading strategies.
- Experience with statistical modeling, machine learning, and data analysis techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Experience with high-frequency trading systems is a plus.
- Detail-oriented with a commitment to accuracy and rigor.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst (Quant) - Remote
Posted 11 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an exceptional Senior Quantitative Analyst (Quant) to join their globally distributed, fully remote team. This role is central to developing and implementing sophisticated mathematical models and financial strategies that drive trading, risk management, and product development. You will be instrumental in designing, testing, and deploying complex algorithms and pricing models for a wide range of financial instruments. Responsibilities include performing rigorous statistical analysis, developing predictive models, backtesting strategies, and collaborating with traders, portfolio managers, and technologists to translate financial insights into actionable solutions. The ideal candidate will possess a profound understanding of financial markets, stochastic calculus, time series analysis, machine learning, and advanced programming languages (e.g., Python, C++, R). Exceptional analytical capabilities, a keen eye for detail, and outstanding problem-solving skills are required. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is paramount for this remote position. A Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering is required. A minimum of 7 years of relevant experience in quantitative finance, with a proven track record of developing and implementing successful trading or risk models, is mandatory. Experience with large datasets and high-frequency trading environments is a significant plus. This is a unique opportunity to influence financial markets and product innovation from the comfort of your home office, working on challenging problems in a dynamic, remote setting.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Quant) - Remote
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading global investment bank, is seeking a highly talented Senior Quantitative Analyst (Quant) to join their advanced risk management and trading strategies team, operating entirely remotely. This role is integral to developing sophisticated mathematical models and algorithms that underpin trading decisions, risk assessment, and financial product pricing. You will work on challenging problems requiring advanced statistical, mathematical, and programming skills. The ideal candidate will have a proven ability to translate complex financial concepts into practical, implementable quantitative solutions and communicate technical findings effectively to both technical and non-technical stakeholders.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and maintain complex mathematical models for pricing, hedging, and risk management of financial instruments.
- Design and build algorithms for automated trading strategies and portfolio optimization.
- Conduct rigorous back-testing and validation of quantitative models and trading strategies.
- Analyze large datasets to identify market patterns, trading opportunities, and risk factors.
- Collaborate with traders, portfolio managers, and risk officers to understand their needs and develop tailored quantitative solutions.
- Implement models and algorithms in production environments using high-performance programming languages.
- Research and evaluate new quantitative methodologies and technologies.
- Prepare clear and concise documentation of models, methodologies, and results.
- Contribute to the development and improvement of the firm's quantitative infrastructure and tools.
- Stay current with academic research and industry best practices in quantitative finance.
- Mentor junior quantitative analysts and provide technical guidance.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 7 years of relevant experience in quantitative analysis within the financial services industry.
- Strong theoretical understanding of financial markets, derivatives, and portfolio theory.
- Proven expertise in developing and implementing complex financial models and algorithms.
- Proficiency in programming languages such as Python, C++, R, or Java.
- Experience with statistical modeling, machine learning techniques, and data analysis tools.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Demonstrated ability to work independently, manage projects, and deliver high-quality results in a remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their sophisticated, fully remote trading and risk management team. This critical role involves developing and implementing complex mathematical models, algorithms, and statistical techniques to support trading strategies, risk assessment, and product development within the financial markets. The ideal candidate will possess an exceptional aptitude for advanced mathematics, programming, and a deep understanding of financial instruments and market dynamics.
Responsibilities:
Responsibilities:
- Develop, test, and deploy quantitative models for pricing, hedging, and risk management of financial derivatives and other instruments.
- Design and implement algorithmic trading strategies, including backtesting and performance analysis.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and risks.
- Collaborate with traders, portfolio managers, and technology teams to translate business needs into quantitative solutions.
- Contribute to the development of risk management frameworks and tools.
- Write high-quality, efficient, and maintainable code in languages such as Python, C++, or R.
- Stay abreast of the latest research in quantitative finance, machine learning, and financial econometrics.
- Perform ad-hoc quantitative research and analysis as required by the business.
- Document models, methodologies, and processes thoroughly.
- Communicate complex quantitative concepts clearly to both technical and non-technical stakeholders in a remote setting.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 6 years of experience in quantitative finance, preferably in investment banking, hedge funds, or asset management.
- Expertise in programming languages commonly used in quantitative finance (e.g., Python, C++, R, Java).
- Strong knowledge of financial markets, derivatives, fixed income, and portfolio theory.
- Proficiency in statistical modeling, time series analysis, stochastic calculus, and numerical methods.
- Experience with machine learning techniques applied to finance is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, crucial for remote collaboration.
- Ability to work independently and manage multiple priorities in a high-pressure, remote environment.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst (Quant) to join their cutting-edge, fully remote finance team. This role is essential for developing and implementing sophisticated financial models, trading strategies, and risk management systems. The ideal candidate will possess a strong mathematical aptitude, exceptional programming skills, and a deep understanding of financial markets. You will work closely with portfolio managers, traders, and other quants to drive data-driven decision-making and enhance investment performance.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and test quantitative models for pricing, hedging, and risk management of financial instruments.
- Develop algorithmic trading strategies and execution algorithms.
- Analyze large datasets to identify market trends, patterns, and trading opportunities.
- Implement models and strategies in high-level programming languages like Python, C++, or R.
- Collaborate with software engineers to integrate quantitative models into production trading systems.
- Perform backtesting and performance analysis of trading strategies.
- Monitor and manage the risk associated with trading portfolios.
- Stay updated on the latest academic research and industry developments in quantitative finance.
- Communicate complex quantitative concepts and results effectively to both technical and non-technical stakeholders in a remote environment.
- Contribute to the continuous improvement of the firm's quantitative infrastructure and methodologies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, preferably in a hedge fund or investment bank.
- Strong proficiency in programming languages such as Python (NumPy, Pandas, SciPy), C++, or R.
- Deep understanding of financial markets, derivatives, and asset pricing.
- Experience with time series analysis, statistical modeling, and machine learning techniques.
- Excellent analytical, problem-solving, and research skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills for remote collaboration.
- Experience with large-scale data analysis and databases.
- Knowledge of fixed income, equities, or derivatives is essential.
This advertiser has chosen not to accept applicants from your region.
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