7 Senior Quantitative Analyst jobs in whatjobs
Senior Quantitative Analyst
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join our globally distributed, fully remote finance team. This critical role will involve developing sophisticated financial models, performing complex data analysis, and contributing to strategic decision-making within the banking and finance sector. The ideal candidate will possess a deep understanding of financial markets, advanced statistical techniques, and programming proficiency. You will be instrumental in driving innovation through quantitative insights and developing solutions that enhance trading strategies, risk management, and portfolio optimization. Responsibilities include:
- Developing, implementing, and validating quantitative models for pricing, risk management, and trading strategies.
- Conducting in-depth statistical analysis of financial market data to identify trends and opportunities.
- Designing and backtesting trading algorithms.
- Collaborating closely with portfolio managers, traders, and risk managers in a virtual setting.
- Producing clear and concise reports and presentations on complex quantitative findings.
- Contributing to the development of new financial products and services.
- Ensuring compliance with regulatory requirements and internal policies.
- Mentoring junior quantitative analysts and fostering a high-performance team culture.
- Optimizing existing models and processes for efficiency and accuracy.
- Staying current with the latest academic research and industry best practices in quantitative finance.
- Exploring new data sources and analytical methodologies to gain a competitive edge.
- Contributing to the firm's quantitative research initiatives.
- Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading.
- Strong programming skills in languages such as Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- In-depth knowledge of financial markets, derivatives, and fixed income instruments.
- Expertise in statistical modeling, econometrics, machine learning, and time series analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, essential for articulating complex quantitative concepts to diverse audiences remotely.
- Proven ability to work independently and manage multiple priorities effectively in a remote work environment.
- Experience with large datasets and database technologies (e.g., SQL).
- Familiarity with risk management frameworks and regulatory landscapes is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst
Posted 18 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their innovative team. This role is fully remote, allowing you to leverage your quantitative modeling skills from anywhere in Kenya. You will be instrumental in developing, implementing, and validating complex financial models for trading strategies, risk management, and pricing, contributing to the firm's success in the global financial markets and supporting operations relevant to Mombasa, Mombasa, KE .
Responsibilities:
Responsibilities:
- Develop and implement sophisticated quantitative models for financial markets, including pricing, risk management, and algorithmic trading.
- Perform rigorous statistical analysis and data mining on large datasets.
- Validate and back-test trading strategies and risk models.
- Collaborate with portfolio managers, traders, and risk officers to understand their analytical needs and provide solutions.
- Write clean, efficient, and well-documented code in languages such as Python, R, C++, or Java.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Contribute to the design and development of new financial products and instruments.
- Prepare technical reports and presentations to communicate complex findings to both technical and non-technical audiences.
- Ensure compliance with all relevant financial regulations and internal policies.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Contribute to the improvement of data infrastructure and analytical tools.
- Proactively identify opportunities for analytical innovation and process improvement.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Strong proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, SQL).
- Deep understanding of financial markets, derivatives, econometrics, and statistical modeling techniques.
- Proven experience in developing, validating, and implementing financial models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and manage complex projects in a remote setting.
- Experience with machine learning techniques is a significant advantage.
- Must be eligible to work remotely from any location in Kenya, supporting the strategic goals of the finance sector in Mombasa, Mombasa, KE .
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 an experienced Senior Quantitative Analyst to join their fully remote team. This role is critical for developing and implementing sophisticated quantitative models used in trading, risk management, and investment strategies. You will leverage your expertise in mathematics, statistics, and programming to analyze complex financial data, derive actionable insights, and contribute to the firm's competitive edge. The ideal candidate possesses a strong analytical mindset, exceptional problem-solving skills, and a deep understanding of financial markets and instruments.
Key Responsibilities:
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, hedging, and risk management of financial derivatives.
- Analyze market data to identify trends, opportunities, and potential risks.
- Collaborate with traders, portfolio managers, and risk officers to understand their quantitative needs and provide solutions.
- Build and maintain high-quality code in languages such as Python, R, or C++ for model implementation and backtesting.
- Conduct rigorous statistical analysis and validation of model performance.
- Contribute to the development of new financial products and strategies through quantitative research.
- Communicate complex quantitative concepts clearly and effectively to non-technical stakeholders.
- Stay abreast of regulatory changes and their impact on quantitative modeling.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Ensure compliance with all firm policies and procedures related to model development and risk management.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst
Posted 16 days ago
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Job Description
Our client, a prominent financial institution, is looking for a highly skilled Senior Quantitative Analyst to join their esteemed team. This role offers a hybrid work arrangement, combining the benefits of remote flexibility with in-office collaboration. The successful candidate will be responsible for developing and implementing complex financial models, performing risk analysis, and contributing to the strategic decision-making processes of the bank. You will utilize advanced statistical techniques and programming skills to analyze market data, assess portfolio performance, and identify potential financial risks and opportunities. Key responsibilities include creating predictive models, backtesting trading strategies, and generating reports for senior management and regulatory bodies. The ideal candidate will possess a strong academic background in a quantitative field, coupled with significant practical experience in financial modeling and analysis. Proficiency in programming languages such as Python, R, or C++, and experience with financial databases and software are essential. You will work closely with traders, portfolio managers, and risk officers to provide quantitative insights and support their decision-making. A deep understanding of financial markets, derivatives, and risk management principles is crucial. This role demands excellent analytical and problem-solving abilities, attention to detail, and the capacity to communicate complex quantitative concepts clearly and concisely to non-technical audiences.
Responsibilities:
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing, risk management, and trading strategies.
- Conduct in-depth analysis of financial markets, instruments, and economic indicators.
- Perform statistical analysis, time series forecasting, and stress testing of portfolios.
- Create and maintain databases of financial information.
- Generate clear and concise reports and presentations on model performance and risk exposures.
- Collaborate with trading desks, portfolio managers, and risk management teams.
- Ensure models comply with regulatory requirements and internal policies.
- Identify and research new quantitative methodologies and technologies.
- Contribute to the development of quantitative tools and platforms.
- Provide quantitative support for new product development.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Expertise in financial modeling, statistical analysis, and programming (Python, R, C++).
- Strong understanding of derivatives pricing, risk management, and portfolio optimization.
- Experience with large datasets and databases (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst
Posted 17 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their remote team. This critical role involves developing and implementing sophisticated mathematical models and statistical techniques to analyze financial markets, manage risk, and drive investment strategies. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling, and proficiency in programming languages commonly used in quantitative finance.
Key Responsibilities:
Qualifications:
This is a premier opportunity for a seasoned quant professional to contribute to a globally recognized financial firm, entirely remotely. You will leverage your expertise to shape critical financial decisions and strategies. While our administrative base is in **Mombasa, Mombasa, KE**, this position is fully remote. If you are passionate about quantitative finance and seeking a challenging, rewarding career from anywhere, we encourage you to apply.
Key Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trends and opportunities.
- Design and backtest trading strategies.
- Work closely with traders, portfolio managers, and risk managers to provide analytical support.
- Automate data analysis and reporting processes.
- Ensure compliance with regulatory requirements and internal policies.
- Research and stay updated on the latest quantitative finance techniques and market developments.
- Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
- Contribute to the firm's intellectual capital through research and development.
- Maintain and improve existing models and analytical tools.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Computer Science.
- Minimum of 5 years of experience in a quantitative role within the financial services industry.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Advanced proficiency in programming languages such as Python, R, C++, or MATLAB.
- Expertise in statistical modeling, machine learning, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Experience with large datasets and database management (SQL).
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced, remote environment.
- Demonstrated ability to translate complex financial problems into quantitative solutions.
This is a premier opportunity for a seasoned quant professional to contribute to a globally recognized financial firm, entirely remotely. You will leverage your expertise to shape critical financial decisions and strategies. While our administrative base is in **Mombasa, Mombasa, KE**, this position is fully remote. If you are passionate about quantitative finance and seeking a challenging, rewarding career from anywhere, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and results-driven Senior Quantitative Analyst to join their dynamic team. This fully remote position involves leveraging advanced statistical and mathematical modeling techniques to support critical business decisions across various financial operations. You will be responsible for developing, implementing, and validating complex quantitative models for pricing, risk management, trading strategies, and portfolio optimization. This includes data mining, statistical analysis, predictive modeling, and algorithm development.
The ideal candidate possesses a strong academic background in a quantitative discipline, combined with extensive practical experience in financial modeling. You will work closely with traders, portfolio managers, and risk officers to understand their needs and translate them into robust analytical solutions. Key responsibilities include conducting thorough research, performing rigorous testing and validation of models, and communicating complex findings clearly and concisely to both technical and non-technical audiences. This role demands exceptional programming skills in languages such as Python, R, or C++, as well as proficiency with financial databases and analytics tools. We are looking for an innovative thinker with a keen eye for detail and a passion for applying quantitative methods to solve challenging financial problems. This is an excellent opportunity for a seasoned professional to contribute to strategic financial planning and drive significant business impact from a remote location.
Key Responsibilities:
Qualifications:
The ideal candidate possesses a strong academic background in a quantitative discipline, combined with extensive practical experience in financial modeling. You will work closely with traders, portfolio managers, and risk officers to understand their needs and translate them into robust analytical solutions. Key responsibilities include conducting thorough research, performing rigorous testing and validation of models, and communicating complex findings clearly and concisely to both technical and non-technical audiences. This role demands exceptional programming skills in languages such as Python, R, or C++, as well as proficiency with financial databases and analytics tools. We are looking for an innovative thinker with a keen eye for detail and a passion for applying quantitative methods to solve challenging financial problems. This is an excellent opportunity for a seasoned professional to contribute to strategic financial planning and drive significant business impact from a remote location.
Key Responsibilities:
- Develop, test, and implement sophisticated quantitative models for financial applications.
- Conduct in-depth statistical analysis and data mining on large datasets.
- Design and evaluate trading strategies, risk management frameworks, and pricing models.
- Collaborate with trading desks, risk management, and other business units to identify analytical needs.
- Communicate complex quantitative concepts and results to stakeholders.
- Ensure the accuracy, robustness, and compliance of all developed models.
- Stay abreast of the latest research and trends in quantitative finance and data science.
- Develop and maintain documentation for all models and methodologies.
- Optimize existing models and algorithms for improved performance.
- Contribute to the development of the firm's quantitative capabilities.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis within the financial industry.
- Strong proficiency in programming languages like Python, R, C++, or MATLAB.
- Experience with financial modeling, risk management, and statistical software.
- Deep understanding of financial markets and instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to interpret and communicate complex data effectively.
- Experience with database technologies (e.g., SQL) and data visualization tools.
- Strong research capabilities and ability to work independently.
- Familiarity with machine learning techniques is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking an exceptional Senior Quantitative Analyst to join their prestigious and fully remote trading and risk management team. This role is at the forefront of developing sophisticated financial models, implementing cutting-edge trading strategies, and enhancing risk assessment frameworks. The ideal candidate will possess a strong quantitative background, exceptional analytical skills, and a deep understanding of financial markets and derivatives. Responsibilities include designing, developing, and validating complex pricing and risk models for a wide range of financial instruments, including equities, fixed income, and derivatives. You will work closely with portfolio managers and traders to implement and optimize trading strategies, utilizing advanced statistical and machine learning techniques. The role involves conducting in-depth market analysis, identifying trading opportunities, and developing predictive models. Furthermore, you will contribute to the enhancement of the firm's risk management systems, performing stress testing, scenario analysis, and VaR calculations. This position requires proficiency in programming languages such as Python, C++, or R, and experience with large datasets and financial databases (e.g., Bloomberg, Refinitiv). You will also be involved in communicating complex analytical findings to non-technical stakeholders, including senior management and clients. The Senior Quantitative Analyst will play a crucial role in ensuring the firm's competitive edge through rigorous quantitative research and innovative application of mathematical finance principles. This is a unique opportunity to excel in a challenging, high-impact, fully remote role within the global financial landscape.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Proven experience in developing and implementing pricing models for complex derivatives.
- Expertise in statistical modeling, econometrics, and machine learning techniques.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Strong understanding of financial markets, portfolio theory, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex ideas clearly.
- Ability to work independently and as part of a global, remote team.
- Experience with large-scale data analysis and database management is required.
- Knowledge of regulatory requirements in financial markets is a plus.
This advertiser has chosen not to accept applicants from your region.
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