152 Senior Quantitative Analyst jobs in whatjobs
Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their remote financial services team. This role is crucial for developing and implementing sophisticated quantitative models and strategies to support investment decisions, risk management, and financial product development. You will be responsible for designing, testing, and validating complex mathematical and statistical models, often involving large datasets.
The ideal candidate will possess a strong academic background in a quantitative discipline such as finance, mathematics, statistics, physics, or engineering, coupled with practical experience in financial modeling. Your responsibilities will include analyzing market data, identifying trends, and developing predictive models for asset pricing, portfolio optimization, and risk assessment. You will work closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic initiatives. Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, is essential. You should also have a solid understanding of financial markets, derivatives, and regulatory requirements.
This is a fully remote position, requiring excellent problem-solving skills, the ability to work independently, and strong collaboration skills with a geographically dispersed team. You will be expected to communicate complex quantitative concepts clearly to both technical and non-technical audiences. A commitment to continuous learning and staying abreast of the latest quantitative techniques and financial market developments is vital. You will play a key role in driving innovation and maintaining a competitive edge in the financial industry.
Key Responsibilities:
The ideal candidate will possess a strong academic background in a quantitative discipline such as finance, mathematics, statistics, physics, or engineering, coupled with practical experience in financial modeling. Your responsibilities will include analyzing market data, identifying trends, and developing predictive models for asset pricing, portfolio optimization, and risk assessment. You will work closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic initiatives. Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, is essential. You should also have a solid understanding of financial markets, derivatives, and regulatory requirements.
This is a fully remote position, requiring excellent problem-solving skills, the ability to work independently, and strong collaboration skills with a geographically dispersed team. You will be expected to communicate complex quantitative concepts clearly to both technical and non-technical audiences. A commitment to continuous learning and staying abreast of the latest quantitative techniques and financial market developments is vital. You will play a key role in driving innovation and maintaining a competitive edge in the financial industry.
Key Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Perform complex statistical analysis and data mining on large datasets.
- Design and build models for asset pricing, risk management, and portfolio optimization.
- Analyze market data to identify investment opportunities and potential risks.
- Collaborate with portfolio managers and traders to support investment strategies.
- Develop and maintain documentation for quantitative models and methodologies.
- Utilize programming languages (Python, R, C++, MATLAB) for model development and implementation.
- Communicate complex quantitative findings to stakeholders.
- Stay current with advancements in quantitative finance and financial regulations.
- Ensure compliance with internal policies and external regulations.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, Engineering, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis within the financial services industry.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote environment with distributed teams.
- Familiarity with regulatory frameworks impacting financial institutions is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly analytical and results-oriented Senior Quantitative Analyst to join their advanced, fully remote analytics team. This role is crucial for developing and implementing sophisticated mathematical models to support investment strategies, risk management, and trading operations. You will be responsible for designing, testing, and deploying quantitative models, performing complex data analysis on large financial datasets, and communicating your findings to stakeholders across various departments, including portfolio managers and risk officers. The ideal candidate possesses a strong academic background (Master's or PhD in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Economics), combined with significant professional experience in quantitative finance. Proficiency in programming languages like Python, R, or C++, as well as experience with financial modeling software and databases, is essential. You should have a deep understanding of financial markets, derivatives, and risk modeling techniques. This is a remote-first position, requiring excellent problem-solving abilities, meticulous attention to detail, and the capacity to work autonomously while collaborating effectively through digital channels. The ability to translate complex quantitative concepts into clear, actionable insights for non-technical audiences is paramount. Join our dynamic, fully remote team and contribute to driving innovative financial solutions and strategic decision-making.
Location: Embu, Embu, KE
Location: Embu, Embu, KE
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Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Senior Quantitative Analyst to join their prestigious, fully remote team. This critical role involves developing and implementing sophisticated mathematical models and statistical techniques to analyze complex financial data, assess market risks, and support trading strategies. You will be instrumental in designing, testing, and validating new quantitative models, as well as maintaining and improving existing ones. The ideal candidate will possess a strong academic background in a quantitative discipline (e.g., Mathematics, Statistics, Physics, Computer Science, Financial Engineering), coupled with extensive experience in financial modeling and data analysis. Proficiency in programming languages such as Python, R, C++, or Java, and expertise in statistical software packages are essential. Key responsibilities include researching and developing new algorithms, performing complex data analysis, implementing models into production systems, and collaborating with traders, portfolio managers, and risk managers to translate business needs into quantitative solutions. You will also be responsible for generating clear and concise reports and presentations on model performance and findings. This position demands exceptional analytical rigor, problem-solving abilities, and a keen eye for detail. A deep understanding of financial markets, derivatives, and risk management principles is crucial. You must be able to work independently, manage multiple projects concurrently, and communicate complex technical concepts effectively to both technical and non-technical audiences. This is an outstanding opportunity for a talented quantitative analyst to contribute to a leading firm, work on challenging problems, and drive innovation in a fully remote, collaborative environment. A Master's degree or Ph.D. in a relevant quantitative field is highly preferred, along with a minimum of 6 years of progressive experience in quantitative analysis within the financial services industry.
This advertiser has chosen not to accept applicants from your region.
2
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join our dynamic team. This role is instrumental in developing and implementing sophisticated financial models, risk management strategies, and investment analytics. You will leverage your expertise in statistical modeling, econometrics, and financial mathematics to drive informed decision-making and optimize portfolio performance. Key responsibilities include conducting in-depth market research, analyzing complex financial data, and developing predictive models for various financial instruments. You will work closely with portfolio managers and traders, providing critical insights and recommendations to support investment strategies. The ideal candidate will possess a strong quantitative background, a proven ability to translate complex data into actionable insights, and proficiency in programming languages such as Python, R, or MATLAB. Experience with financial databases (e.g., Bloomberg, Refinitiv) and a deep understanding of financial markets are essential. This position requires exceptional problem-solving skills, a rigorous approach to analysis, and the ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. As this is a fully remote role, you must demonstrate exceptional self-discipline, organizational skills, and the ability to collaborate effectively within a virtual team setting. We are looking for a proactive individual who stays abreast of the latest developments in quantitative finance and can contribute innovative ideas to our analytical frameworks. Your role will be crucial in managing financial risk, identifying new investment opportunities, and ensuring the firm's competitive edge in the market. The ability to work independently and manage multiple complex projects simultaneously is vital.
This advertiser has chosen not to accept applicants from your region.
3
Job Description
Our client, a leading financial institution, is seeking a highly skilled and motivated Senior Quantitative Analyst to join their innovative and fully remote team. This position offers the opportunity to work on complex financial modeling, risk management, and data analysis challenges from the comfort of your home. The successful candidate will play a crucial role in developing, implementing, and validating sophisticated quantitative models for trading strategies, risk assessment, and portfolio optimization. Responsibilities include performing in-depth statistical analysis, developing predictive models, and contributing to the enhancement of existing financial models. You will collaborate closely with traders, portfolio managers, and other quantitative professionals to translate business needs into actionable analytical solutions. This is a remote-first position, requiring strong self-discipline, excellent communication skills, and the ability to thrive in a distributed team environment. We are looking for individuals with a proven track record in quantitative finance, exceptional analytical capabilities, and proficiency in programming languages commonly used in financial modeling. The ideal candidate will have a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering. A minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or risk management is required. Proficiency in programming languages like Python (with libraries such as NumPy, SciPy, Pandas), R, or C++ is essential. Experience with SQL databases and data manipulation techniques is also necessary. Familiarity with financial markets, derivative pricing, and regulatory frameworks is highly desirable. You will be expected to present complex analytical findings to both technical and non-technical audiences, so outstanding presentation skills are a must. Join our client's forward-thinking team and contribute to shaping the future of finance from Ruiru, Kiambu, KE , in a fully remote capacity.
This advertiser has chosen not to accept applicants from your region.
4
Job Description
Our client, a leading financial institution, is actively seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This critical role will involve developing and implementing complex financial models, performing sophisticated data analysis, and providing crucial insights to support trading strategies and risk management decisions. The successful candidate will leverage their expertise in econometrics, statistics, and programming to drive innovation in financial product development and portfolio optimization. This position offers the flexibility of remote work, allowing you to contribute from anywhere.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, test, and deploy quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Conduct in-depth statistical analysis of market data, economic indicators, and financial instruments to identify trends and opportunities.
- Collaborate closely with portfolio managers, traders, and risk officers to understand their needs and provide actionable quantitative solutions.
- Design and implement algorithms for algorithmic trading and portfolio construction.
- Perform backtesting and validation of models to ensure accuracy and robustness.
- Contribute to the development of new financial products and hedging strategies.
- Maintain and enhance existing quantitative models, ensuring they remain relevant and effective.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Stay current with academic research and industry developments in quantitative finance.
- Ensure compliance with regulatory requirements and internal policies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative finance, financial modeling, or a related analytical role.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (NumPy, SciPy, Pandas), R, C++, or MATLAB.
- Deep understanding of financial markets, derivative pricing, risk management, and econometrics.
- Experience with large datasets and database management (SQL).
- Strong analytical and problem-solving skills, with meticulous attention to detail.
- Excellent communication skills, with the ability to explain complex models and findings effectively.
- Proven ability to work independently and collaboratively in a remote team environment.
- Experience with machine learning techniques applied to finance is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and results-oriented Senior Quantitative Analyst to join their dynamic, fully remote team. This pivotal role involves developing and implementing complex financial models, performing rigorous statistical analysis, and providing actionable insights to support strategic decision-making within the banking and finance sector. The ideal candidate will leverage advanced mathematical techniques and programming skills to drive innovation and optimize financial strategies. You will be instrumental in risk management, portfolio optimization, and the development of new financial products. This is a fully remote position, offering the flexibility to work from anywhere, though a strong internet connection and a dedicated home office setup are essential.
Responsibilities:
Responsibilities:
- Develop, test, and deploy sophisticated quantitative models for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trends, opportunities, and potential risks.
- Collaborate with cross-functional teams, including traders, portfolio managers, and risk officers, to translate business needs into quantitative solutions.
- Create clear and concise reports and visualizations to communicate complex findings to both technical and non-technical stakeholders.
- Stay abreast of the latest developments in quantitative finance, econometrics, and financial modeling techniques.
- Contribute to the continuous improvement of data infrastructure and modeling tools.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior analysts and contribute to knowledge sharing within the team.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Proven experience (5+ years) in quantitative analysis within the financial services industry.
- Expertise in programming languages such as Python, R, C++, or Java.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques and their application in finance is a plus.
- Excellent problem-solving and analytical skills.
- Exceptional communication and interpersonal abilities, with the capacity to explain complex concepts effectively.
- Ability to work independently and as part of a distributed team in a fast-paced environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled and analytical Senior Quantitative Analyst to join our dynamic remote team. This role is pivotal in developing and implementing sophisticated financial models, risk management strategies, and data-driven insights to support our strategic decision-making processes. You will work with complex datasets, cutting-edge technologies, and collaborate with cross-functional teams to drive innovation in the banking and finance sector.
Responsibilities:
Qualifications:
This position is 100% remote, allowing you to work from any location. Our client is committed to fostering an inclusive and diverse workforce.
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct in-depth statistical analysis of financial markets and economic data to identify trends and opportunities.
- Design and build robust data pipelines and analytical tools using programming languages like Python, R, or SQL.
- Collaborate with trading desks, risk management, and compliance departments to provide quantitative support and insights.
- Perform stress testing and scenario analysis to assess portfolio risk under various market conditions.
- Document model methodologies, assumptions, and limitations clearly and comprehensively.
- Stay current with the latest research in quantitative finance, machine learning, and statistical modeling.
- Communicate complex quantitative concepts and findings to non-technical stakeholders through clear presentations and reports.
- Contribute to the enhancement of data infrastructure and analytical frameworks.
- Ensure compliance with regulatory requirements and internal policies related to quantitative modeling and risk management.
Qualifications:
- Master's or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
- 5+ years of experience in quantitative analysis within the financial services industry.
- Strong programming skills in Python or R, with experience in libraries like NumPy, Pandas, SciPy, and scikit-learn.
- Proficiency in SQL for data extraction and manipulation.
- Deep understanding of financial markets, derivative pricing, and risk management principles.
- Experience with machine learning techniques and their application in finance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to diverse audiences.
- Proven ability to work independently and as part of a collaborative remote team.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
This position is 100% remote, allowing you to work from any location. Our client is committed to fostering an inclusive and diverse workforce.
This advertiser has chosen not to accept applicants from your region.
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Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Senior Quantitative Analyst to join their dynamic team. This is a fully remote position, offering flexibility and the opportunity to work with a globally distributed team. The ideal candidate will possess a strong analytical and mathematical background, with a proven track record in financial modeling, risk management, and data analysis. You will be responsible for developing and implementing complex financial models, performing rigorous statistical analysis, and providing insights to support strategic decision-making. This role requires a deep understanding of financial markets, derivative pricing, and various quantitative techniques. You will collaborate with traders, risk managers, and other stakeholders to ensure the accuracy and effectiveness of our financial instruments and risk management strategies. Key responsibilities include designing, testing, and deploying pricing models for various asset classes, conducting back-testing and stress-testing of models, and developing new methodologies to improve risk assessment and capital allocation. The role also involves producing clear and concise reports and presentations on model performance and risk exposures for senior management. We are looking for an individual who is proactive, detail-oriented, and possesses exceptional problem-solving skills. A passion for continuous learning and staying abreast of industry trends and regulatory changes is essential. The successful candidate will have the ability to work independently and manage multiple projects simultaneously in a fast-paced, remote environment. This is an exciting opportunity to contribute to a reputable organization and advance your career in quantitative finance.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Finance.
- Minimum of 5 years of experience in a quantitative finance role.
- Proficiency in programming languages like Python, R, C++, or MATLAB.
- Experience with financial databases and tools (e.g., Bloomberg, Reuters).
- Strong understanding of financial theory, econometrics, and stochastic calculus.
- Excellent communication and interpersonal skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Proven ability to work effectively in a remote team setting.
This advertiser has chosen not to accept applicants from your region.
8
Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Senior Quantitative Analyst to join their dynamic, fully remote team. This role is critical for developing and implementing sophisticated quantitative models to support investment strategies, risk management, and product development. You will leverage advanced statistical techniques, programming skills, and deep financial market knowledge to provide data-driven insights and solutions. The ability to communicate complex quantitative concepts to both technical and non-technical audiences remotely is essential.
Responsibilities:
Responsibilities:
- Design, develop, backtest, and implement quantitative models for financial markets (e.g., pricing, risk, trading strategies).
- Conduct in-depth statistical analysis of large datasets to identify patterns, trends, and anomalies.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and provide quantitative support.
- Develop and maintain tools and systems for data analysis, model execution, and reporting.
- Monitor the performance of existing models and identify areas for improvement or recalibration.
- Research and evaluate new quantitative methodologies and technologies.
- Prepare technical documentation and present findings and recommendations to senior management and stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Work effectively in a collaborative, fully remote environment, utilizing digital communication and project management tools.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative analysis within the banking or finance industry.
- Strong proficiency in programming languages such as Python, R, C++, or MATLAB.
- Deep understanding of financial markets, derivatives, risk management, and portfolio theory.
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Excellent analytical, problem-solving, and computational skills.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts clearly.
- Proven ability to work independently and as part of a remote team.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and databases is preferred.
- Knowledge of the financial landscape in Nakuru, Nakuru, KE is beneficial for understanding regional market dynamics.
This advertiser has chosen not to accept applicants from your region.
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