4 Senior Quantitative Analyst Remote jobs in whatjobs
Senior Quantitative Analyst (Remote)
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their innovative, fully remote finance team. This role involves developing and implementing complex mathematical models and statistical techniques to analyze financial markets, manage risk, and optimize investment strategies. The ideal candidate will possess a strong background in quantitative finance, econometrics, programming, and data analysis. You will be responsible for researching, designing, and validating quantitative models, performing back-testing, and contributing to the development of trading algorithms and risk management systems. This position requires exceptional analytical rigor, problem-solving abilities, and the capacity to work independently in a distributed team environment.
Key responsibilities:
Required qualifications include a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5-7 years of experience in a quantitative finance role. Deep understanding of financial markets, instruments, and derivatives. Proven expertise in programming languages like Python, R, C++, or similar. Strong knowledge of statistical software and machine learning libraries. Excellent analytical, problem-solving, and research skills. Ability to work autonomously and manage complex projects in a fully remote setting. Experience with large-scale data manipulation and cloud computing platforms is a plus. While the role is remote, familiarity with the financial sector in **Mombasa, Mombasa, KE** could be beneficial, but the position is location-agnostic.
Key responsibilities:
- Develop, implement, and test sophisticated quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market patterns, correlations, and trading opportunities.
- Perform statistical analysis, econometrics, and machine learning techniques to derive insights.
- Conduct rigorous back-testing and validation of models to ensure their accuracy and effectiveness.
- Collaborate with portfolio managers and traders to implement and refine quantitative strategies.
- Develop and maintain efficient code for data processing, model execution, and reporting.
- Monitor model performance and identify potential issues, implementing necessary adjustments.
- Stay current with the latest research and advancements in quantitative finance and computational finance.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Contribute to the enhancement of the firm's quantitative infrastructure and methodologies.
Required qualifications include a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5-7 years of experience in a quantitative finance role. Deep understanding of financial markets, instruments, and derivatives. Proven expertise in programming languages like Python, R, C++, or similar. Strong knowledge of statistical software and machine learning libraries. Excellent analytical, problem-solving, and research skills. Ability to work autonomously and manage complex projects in a fully remote setting. Experience with large-scale data manipulation and cloud computing platforms is a plus. While the role is remote, familiarity with the financial sector in **Mombasa, Mombasa, KE** could be beneficial, but the position is location-agnostic.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Remote
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their fully remote team. This role is essential for developing, implementing, and maintaining complex financial models used for risk management, pricing, valuation, and trading strategies. You will be at the forefront of applying advanced mathematical and statistical techniques to solve challenging problems within the financial markets. Your work will directly influence key business decisions and contribute to the firm's profitability and risk mitigation efforts.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing complex derivatives, assessing market risk, credit risk, and operational risk.
- Perform statistical analysis on large datasets to identify patterns, trends, and anomalies.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and translate them into quantitative solutions.
- Validate existing models and propose enhancements to improve accuracy and efficiency.
- Automate model calibration, validation, and reporting processes.
- Conduct research into new methodologies and technologies relevant to quantitative finance.
- Document models and methodologies clearly and comprehensively.
- Stay abreast of market developments, regulatory changes, and industry best practices.
- Contribute to the development of trading algorithms and strategies.
- Mentor junior quantitative analysts and provide technical guidance.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Proficiency in programming languages such as Python, C++, R, or Java.
- Strong knowledge of financial markets, derivatives pricing, and risk management techniques.
- Experience with statistical modeling, time series analysis, and machine learning algorithms.
- Excellent written and verbal communication skills.
- Ability to work independently and manage multiple projects simultaneously in a remote setting.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic remote finance team. This role is critical in developing and implementing sophisticated mathematical models and statistical techniques to support trading strategies, risk management, and financial product development. The ideal candidate will possess a strong background in mathematics, statistics, econometrics, or a related quantitative field, coupled with extensive experience in financial markets and programming. As a remote professional, you will collaborate closely with traders, portfolio managers, risk officers, and IT specialists using advanced communication and collaboration tools to drive data-driven decisions. Your responsibilities will include designing, testing, and deploying quantitative models, analyzing large datasets, performing complex statistical analysis, and developing algorithms for pricing, hedging, and risk assessment. You will also contribute to the research and development of new financial instruments and trading strategies, ensuring that all methodologies are robust, scalable, and compliant with regulatory requirements. The ability to translate complex quantitative concepts into actionable business insights and communicate them effectively to both technical and non-technical audiences is essential. We are looking for a self-motivated individual with a passion for financial innovation and a proven track record of delivering high-quality quantitative solutions in a remote setting. This is an outstanding opportunity for a seasoned quant to make a significant impact on our client's financial operations while enjoying the flexibility of remote work.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk management, and trading strategies.
- Analyze large and complex financial datasets using statistical and machine learning techniques.
- Design and test algorithms for various financial applications, including hedging and portfolio optimization.
- Conduct rigorous backtesting and validation of models.
- Collaborate with front-office and risk management teams to identify new opportunities and challenges.
- Communicate complex quantitative findings to technical and non-technical stakeholders.
- Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
- Contribute to the research and development of innovative financial products and strategies.
- Ensure compliance with regulatory requirements and internal policies.
- Develop and maintain high-quality code in languages such as Python, R, or C++.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of relevant experience as a Quantitative Analyst in the financial industry.
- Strong programming skills in Python, R, C++, or similar languages.
- In-depth knowledge of statistical modeling, machine learning, time series analysis, and financial mathematics.
- Experience with financial markets, derivatives pricing, and risk management techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, with the capacity to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote environment.
- Familiarity with financial databases and data analysis tools.
- Experience with cloud computing platforms is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Remote
Posted today
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and meticulous Senior Quantitative Analyst to join their globally distributed team. This is a fully remote position, providing an exceptional opportunity for a seasoned professional to leverage their expertise in financial modeling, risk management, and data analysis without the need for physical office presence. You will be instrumental in developing and implementing sophisticated quantitative models used for pricing complex financial instruments, assessing market risk, and optimizing investment strategies. The role involves working with large datasets, employing advanced statistical techniques, and utilizing programming languages such as Python or R. You will collaborate closely with traders, portfolio managers, and risk officers to provide insights and support critical business decisions. Key responsibilities include model validation, back-testing, performance monitoring, and ensuring compliance with regulatory requirements. The ideal candidate possesses a strong academic background in a quantitative field, coupled with several years of practical experience in quantitative finance. You should be adept at translating complex financial concepts into actionable strategies and communicating your findings effectively to both technical and non-technical audiences. This role requires a deep understanding of financial markets, derivatives, and risk management frameworks. We are looking for someone who is intellectually curious, detail-oriented, and driven by a passion for solving challenging quantitative problems. The ability to work independently, manage priorities effectively, and contribute to a high-performing remote team is crucial. This position offers a competitive compensation package and the chance to work on cutting-edge financial challenges in a flexible, remote environment. Embrace the future of finance and contribute to shaping our client's quantitative strategies from anywhere in Kenya. Your analytical prowess will be key to driving innovation and maintaining a competitive edge in the financial markets.
Responsibilities:
Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Conduct sophisticated statistical analysis and data mining on large datasets.
- Price complex derivatives and other financial instruments.
- Assess and manage market, credit, and operational risks.
- Perform back-testing and performance attribution of trading strategies.
- Collaborate with trading desks, risk management, and technology teams.
- Ensure models comply with regulatory requirements and internal policies.
- Communicate complex quantitative findings to diverse stakeholders.
- Develop automated reporting tools and dashboards.
- Stay abreast of market trends and new quantitative methodologies.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, or a related field.
- Minimum of 5 years of relevant experience in quantitative finance or a similar role.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of financial instruments, derivatives, and financial engineering.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with financial databases (e.g., Bloomberg, Refinitiv).
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote team setting.
This advertiser has chosen not to accept applicants from your region.
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