27 Principal Quantitative Analyst Remote jobs in Nairobi
Principal Quantitative Analyst - Remote
Posted 4 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Principal Quantitative Analyst to join their cutting-edge trading and risk management division. This is a fully remote position, offering a unique opportunity to apply advanced mathematical and statistical modeling techniques to complex financial markets. You will be responsible for developing, implementing, and validating sophisticated quantitative models for pricing, risk assessment, and trading strategies. This role demands a deep understanding of financial instruments, market dynamics, and programming expertise. The ideal candidate will have a strong academic background in a quantitative field and a proven track record of innovation in financial modeling. You will collaborate with traders, portfolio managers, and technologists to develop and deploy quantitative solutions that drive profitable trading and effective risk mitigation. Key responsibilities include performing rigorous backtesting, scenario analysis, and performance attribution. You will also be involved in researching new methodologies and contributing to the firm's intellectual capital. This role requires exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. As a remote role, you must be highly self-motivated and adept at utilizing collaborative tools to work effectively within a distributed team. The core focus for this role pertains to the market in **Mombasa, Mombasa, KE**, yet it is a fully remote opportunity.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing and risk management.
- Design and execute rigorous backtesting and validation of trading algorithms and strategies.
- Analyze market data to identify trends, opportunities, and potential risks.
- Collaborate with portfolio managers and traders to develop and enhance investment strategies.
- Perform scenario analysis and stress testing to assess model robustness.
- Contribute to the development of new financial products and derivatives.
- Communicate complex quantitative concepts and results to various stakeholders.
- Stay abreast of the latest advancements in quantitative finance and machine learning.
- Ensure compliance with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 8 years of experience in quantitative finance, preferably in investment banking or hedge funds.
- Deep understanding of financial markets, derivatives, and fixed income products.
- Expertise in programming languages such as Python, C++, or R.
- Proficiency in statistical modeling, machine learning, and data analysis techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills, with the ability to explain complex concepts.
- Proven ability to work independently and lead quantitative projects.
- Experience with large datasets and high-frequency trading systems is a plus.
- Demonstrated ability to innovate and develop novel quantitative approaches.
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Lead Quantitative Analyst
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Lead Quantitative Analyst to join their remote-based financial services team. This critical role involves developing and implementing sophisticated quantitative models and strategies to support trading, risk management, and investment decisions. You will be at the forefront of applying advanced mathematical, statistical, and computational techniques to complex financial data. Responsibilities include designing, testing, and deploying pricing models, risk assessment tools, and algorithmic trading strategies. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A strong programming background, particularly in languages like Python, C++, or R, is essential, along with experience in database management and financial data manipulation. You will lead a team of junior quantitative analysts, providing mentorship and technical guidance, and collaborating closely with portfolio managers and traders. Experience in derivative pricing, fixed income modeling, or econometrics is highly desirable. This is a remote-first position, requiring exceptional self-discipline, strong analytical and problem-solving abilities, and excellent communication skills to articulate complex findings to diverse audiences. You will leverage state-of-the-art technology and collaborative platforms to ensure seamless teamwork and project execution. The role is associated with our operations serving the **Mlolongo, Machakos, KE** financial district, requiring a keen understanding of market dynamics. You will be responsible for staying current with financial market trends and regulatory changes, ensuring our models remain robust and compliant. The successful candidate will demonstrate a passion for quantitative finance, a commitment to accuracy, and the ability to innovate and adapt in a fast-paced environment. Your expertise will directly contribute to the firm's profitability and risk mitigation efforts, making this a highly impactful position.
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Senior Quantitative Analyst
Posted 21 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.
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2
Principal Financial Quantitative Analyst
Posted 21 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly accomplished Principal Financial Quantitative Analyst to join their globally distributed, fully remote team. This role demands exceptional analytical and modeling skills to develop and implement sophisticated financial models for pricing, risk management, and trading strategies. The successful candidate will leverage advanced statistical techniques, programming languages (Python, R, C++), and a deep understanding of financial markets to provide critical insights and support strategic decision-making. You will work on complex financial instruments and be instrumental in shaping the firm's quantitative strategies.
Key responsibilities:
Qualifications: A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science is required. A minimum of 10 years of relevant experience in quantitative finance, with a strong focus on model development and implementation within an investment banking or hedge fund environment. Proven expertise in Python, R, and/or C++ for financial modeling is essential. A thorough understanding of stochastic calculus, time series analysis, and numerical methods is mandatory. Experience with large datasets and big data technologies is a plus. This is a unique opportunity to apply advanced quantitative skills to impactful financial challenges in a fully remote, intellectually stimulating environment.
Key responsibilities:
- Developing, validating, and implementing complex pricing and risk models for a wide range of financial derivatives and fixed-income products.
- Conducting in-depth quantitative research to identify new trading opportunities and refine existing strategies.
- Designing and building efficient algorithms for portfolio optimization and risk management.
- Collaborating with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Performing rigorous back-testing and scenario analysis of models and strategies.
- Ensuring the accuracy, robustness, and compliance of all developed models with regulatory requirements.
- Contributing to the development and maintenance of the firm's quantitative analytics platform.
- Mentoring junior quantitative analysts and contributing to the team's technical growth.
- Communicating complex quantitative concepts and findings clearly to both technical and non-technical stakeholders.
- Staying ahead of industry trends in quantitative finance, machine learning, and computational finance.
Qualifications: A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science is required. A minimum of 10 years of relevant experience in quantitative finance, with a strong focus on model development and implementation within an investment banking or hedge fund environment. Proven expertise in Python, R, and/or C++ for financial modeling is essential. A thorough understanding of stochastic calculus, time series analysis, and numerical methods is mandatory. Experience with large datasets and big data technologies is a plus. This is a unique opportunity to apply advanced quantitative skills to impactful financial challenges in a fully remote, intellectually stimulating environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Quant)
Posted 4 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is looking for a highly skilled Senior Quantitative Analyst to join their globally distributed, remote-first trading and risk management team. In this critical role, you will be responsible for developing, implementing, and maintaining sophisticated mathematical models and algorithms for pricing complex financial instruments, managing risk, and optimizing trading strategies. Your expertise will be crucial in analyzing large datasets, identifying market trends, and providing data-driven insights to support strategic decision-making. This position involves close collaboration with traders, portfolio managers, and technology teams to translate business requirements into robust quantitative solutions. You will utilize advanced programming languages such as Python, C++, or R, and have extensive experience with statistical modeling, machine learning techniques, and financial econometrics. Key responsibilities include performing backtesting of models, validating their performance, and ensuring their compliance with regulatory requirements. You will also be involved in designing and implementing risk management frameworks, stress testing portfolios, and developing hedging strategies. The ideal candidate possesses exceptional analytical and problem-solving skills, a rigorous academic background, and a proven ability to work independently and effectively in a remote environment. A deep understanding of financial markets, derivatives, and fixed income instruments is essential. A Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, along with a minimum of 5 years of relevant experience in quantitative finance, is required. Exceptional communication skills are necessary to articulate complex concepts to both technical and non-technical audiences. Join our client and contribute to their success by leveraging your quantitative prowess from anywhere in the world.
This advertiser has chosen not to accept applicants from your region.
4
Lead Quantitative Analyst (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Lead Quantitative Analyst to join our innovative, fully remote trading and risk management division. This senior role is pivotal in developing and implementing sophisticated mathematical models and algorithms that drive our investment strategies and manage financial risk. You will be responsible for designing, testing, and deploying complex quantitative models for pricing derivatives, assessing portfolio risk, and optimizing trading strategies. Your expertise will be crucial in analyzing market data, identifying trading opportunities, and providing insights to portfolio managers and senior management. The ideal candidate will possess a strong academic background in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, coupled with significant practical experience in financial modeling. You must be proficient in programming languages commonly used in quantitative finance, such as Python, C++, or R, and have hands-on experience with financial libraries and databases. Key responsibilities include leading a team of quantitative analysts, mentoring junior team members, and collaborating with traders and risk managers to translate complex financial problems into quantitative solutions. You will also stay abreast of the latest developments in financial markets and quantitative techniques, ensuring our strategies remain competitive and compliant with regulatory requirements. Experience with high-frequency trading, algorithmic trading, or machine learning in finance is a significant plus. This is an exceptional opportunity to contribute to high-impact financial decisions from a remote location, influencing strategies that affect our global operations and our significant presence in Mombasa, Mombasa, KE .
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Lead Quantitative Analyst - Algorithmic Trading
Posted 16 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is looking for a dynamic and experienced Lead Quantitative Analyst to spearhead their algorithmic trading strategies. This is a critical, fully remote position that offers the opportunity to design, develop, and implement cutting-edge quantitative models for high-frequency trading. The successful candidate will leverage their expertise in statistical modeling, machine learning, and financial markets to identify trading opportunities and optimize execution strategies. Responsibilities include researching and developing new trading algorithms, backtesting and validating model performance, monitoring live trading systems, and collaborating with the trading desk to refine strategies based on market feedback. You will also be responsible for managing and mentoring a team of quantitative analysts, ensuring the highest standards of code quality and research integrity. A strong understanding of market microstructure, risk management, and regulatory requirements is essential. Proficiency in programming languages such as Python, C++, and R is required, along with experience in databases and data analysis tools. This role demands exceptional analytical and problem-solving skills, a meticulous attention to detail, and the ability to work effectively under pressure in a remote setting. You will play a pivotal role in enhancing the firm's trading profitability and competitive edge. Experience with cloud computing platforms and big data technologies is a plus. We are seeking an individual who is passionate about financial markets and possesses a deep intellectual curiosity. This is a remote role supporting operations within **Mombasa, Mombasa, KE**.
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6
Senior Quantitative Analyst - Risk Modeling
Posted 21 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated risk management division. This is a critical, fully remote role focused on developing, validating, and implementing complex financial risk models. You will play a key part in assessing credit risk, market risk, and operational risk, ensuring the institution's stability and compliance with regulatory requirements. The ideal candidate will possess a strong quantitative background, expertise in statistical modeling, programming proficiency, and a deep understanding of financial markets and banking regulations. This role requires a meticulous, independent, and results-oriented professional capable of complex analytical tasks in a virtual setting.
Responsibilities:
Responsibilities:
- Develop, calibrate, and validate quantitative models for credit risk, market risk, operational risk, and other financial risks.
- Implement risk models into production environments, working closely with IT and business teams.
- Perform back-testing and sensitivity analysis of existing models to ensure accuracy and robustness.
- Contribute to regulatory compliance efforts, including stress testing and capital adequacy assessments.
- Analyze large datasets to identify trends, correlations, and potential risks.
- Develop reports and visualizations to communicate model results and risk insights to senior management and stakeholders.
- Stay abreast of the latest advancements in quantitative finance, risk modeling techniques, and regulatory changes.
- Collaborate with front-office, middle-office, and back-office teams to understand business needs and incorporate them into model development.
- Ensure model documentation is comprehensive, accurate, and compliant with internal and external standards.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Design and conduct simulation studies to assess model performance under various market conditions.
- Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering.
- 5+ years of experience in quantitative analysis, risk modeling, or a related role within the banking or financial services industry.
- Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
- Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Experience with financial databases and data manipulation tools.
- Solid understanding of banking regulations (e.g., Basel III/IV) and their impact on risk modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and manage projects effectively in a remote environment.
- Experience with data visualization tools is a plus.
- Knowledge of financial instruments and markets.
This advertiser has chosen not to accept applicants from your region.
7
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.
8
Senior Quantitative Analyst, Algorithmic Trading
Posted 12 days ago
Job Viewed
Job Description
Our client, a prestigious international financial institution, is seeking an exceptional Senior Quantitative Analyst to join their cutting-edge algorithmic trading desk. This role is at the forefront of developing and implementing sophisticated trading strategies and models. You will be responsible for researching, designing, testing, and deploying quantitative trading algorithms, analyzing market data, and optimizing trading performance. This is a fully remote position, offering the flexibility to work from anywhere while engaging with complex financial markets and innovative technologies. The role is associated with our **Mlolongo, Machakos, KE** financial hub, but requires no physical presence.
Key Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is essential. Proficiency in programming languages such as Python, C++, or R, along with experience in statistical modeling, machine learning, and data analysis libraries, is required. Strong understanding of financial markets, derivatives, and trading strategies is a must. Excellent analytical, problem-solving, and communication skills are vital. Experience with large-scale data processing and cloud computing platforms is a significant advantage. This challenging remote role offers a unique opportunity for a top-tier quant to make a substantial impact in a fast-paced financial environment.
Key Responsibilities:
- Research, develop, backtest, and implement quantitative trading strategies across various asset classes.
- Analyze large datasets of market and historical data to identify trading opportunities and patterns.
- Build and maintain predictive models and statistical tools to support trading decisions.
- Collaborate with traders and technologists to deploy and optimize trading algorithms in live environments.
- Monitor the performance of trading strategies and systems, identifying areas for improvement.
- Conduct quantitative research on market microstructure, high-frequency trading, and risk management.
- Develop and implement risk management frameworks for algorithmic trading strategies.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and ethical standards in trading activities.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is essential. Proficiency in programming languages such as Python, C++, or R, along with experience in statistical modeling, machine learning, and data analysis libraries, is required. Strong understanding of financial markets, derivatives, and trading strategies is a must. Excellent analytical, problem-solving, and communication skills are vital. Experience with large-scale data processing and cloud computing platforms is a significant advantage. This challenging remote role offers a unique opportunity for a top-tier quant to make a substantial impact in a fast-paced financial environment.
This advertiser has chosen not to accept applicants from your region.
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