1,231 Principal Quantitative Analyst jobs in Kenya
Principal Quantitative Analyst
Posted 20 days ago
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Job Description
Our client, a prominent financial institution renowned for its innovative approach to banking and financial services, is actively seeking a distinguished Principal Quantitative Analyst to join their fully remote team. This senior position requires an individual with exceptional analytical prowess and a deep understanding of financial markets, risk management, and statistical modeling. You will be responsible for developing and implementing sophisticated quantitative models that drive critical business decisions, manage risk, and enhance financial strategies. The role involves close collaboration with various departments, including risk management, trading, and product development, to translate complex data into actionable insights.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and validate complex quantitative models for pricing, risk management, and trading strategies.
- Conduct rigorous statistical analysis and perform data mining on large datasets to identify trends and opportunities.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Develop and implement methodologies for stress testing, scenario analysis, and capital allocation.
- Provide quantitative expertise and support for regulatory requirements and compliance initiatives.
- Build and maintain robust financial models, ensuring accuracy, efficiency, and scalability.
- Research and implement cutting-edge quantitative techniques and methodologies.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Stay abreast of industry best practices, regulatory changes, and emerging technologies in quantitative finance.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 10 years of experience in quantitative analysis within the financial services industry.
- Deep expertise in financial modeling, risk management, and derivatives pricing.
- Proficiency in programming languages such as Python, R, C++, or Java, and experience with data manipulation libraries.
- Strong understanding of statistical techniques, machine learning, and time series analysis.
- Proven ability to manage complex projects from conception to implementation.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience working effectively in a remote team environment.
- Familiarity with financial regulations and compliance frameworks is a plus.
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Principal Quantitative Analyst (Remote)
Posted 19 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly skilled and experienced Principal Quantitative Analyst to join their innovative remote trading strategies team. This role is crucial for developing and implementing sophisticated mathematical models and algorithms that drive trading decisions across various asset classes. You will be responsible for researching, designing, backtesting, and deploying quantitative strategies, focusing on areas such as algorithmic trading, statistical arbitrage, and risk management. Your expertise will be essential in analyzing market data, identifying patterns, and translating complex financial concepts into executable trading strategies. The ideal candidate will possess a deep understanding of financial markets, econometrics, time series analysis, and machine learning techniques as applied to finance. A strong quantitative background, typically evidenced by a Master's or Ph.D. in Finance, Economics, Mathematics, Physics, or a related quantitative field, is required. Proficiency in programming languages such as Python, R, C++, or Java, along with experience using financial data platforms and analytical tools, is essential. You will work collaboratively with portfolio managers, traders, and other quantitative analysts in a fully remote setting, contributing to the firm's success through data-driven insights and innovative solutions. This position demands exceptional analytical rigor, problem-solving capabilities, and the ability to communicate complex technical findings clearly and concisely. We are looking for an individual who is passionate about quantitative finance, thrives in a challenging and fast-paced environment, and is eager to make a significant impact in the financial industry from the convenience of their remote workspace.
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1
Principal Quantitative Analyst (Risk Management)
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Principal Quantitative Analyst to join their remote risk management team. This is a fully remote position, allowing you to contribute your expertise in financial modeling and risk analysis from anywhere within Kenya. You will be responsible for developing, implementing, and validating sophisticated quantitative models for market risk, credit risk, and operational risk. This includes performing complex statistical analysis, backtesting models, and stress testing to ensure their accuracy and effectiveness. You will play a critical role in identifying, measuring, and managing financial risks across the organization. Collaborating closely with traders, portfolio managers, and other risk professionals to provide insights and recommendations for risk mitigation strategies is essential. You will also contribute to regulatory reporting and ensure compliance with relevant financial regulations and industry best practices. Staying abreast of the latest advancements in quantitative finance, econometrics, and machine learning techniques is paramount. The ideal candidate will have a Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Economics, or a related field. A minimum of 8-10 years of experience in quantitative analysis and risk management within the banking or financial services industry is required. Proven expertise in developing and validating models for market risk (e.g., VaR, CVA) and credit risk (e.g., PD, LGD) is essential. Strong programming skills in languages such as Python, R, or C++ are required, along with proficiency in statistical software and databases. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to explain complex quantitative concepts to both technical and non-technical audiences. Experience with regulatory frameworks such as Basel Accords is highly desirable. This is a challenging and rewarding opportunity for a top-tier quantitative analyst to lead critical risk management initiatives in a remote capacity, driving financial stability and strategic decision-making for a major financial player. The job location highlighted for this role is Malindi, Kilifi, KE .
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2
Principal Quantitative Analyst - Remote Trading Strategies
Posted 20 days ago
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Job Description
Our client, a high-frequency trading firm, is seeking a Principal Quantitative Analyst to join their globally distributed, remote-first team. This pivotal role involves designing, developing, and implementing sophisticated mathematical models and algorithms for trading strategies across various asset classes. The ideal candidate possesses a deep understanding of financial markets, advanced statistical techniques, and exceptional programming skills.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies using Python, C++, or other relevant programming languages.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and risks.
- Design and implement efficient algorithms for order execution, portfolio optimization, and risk management.
- Collaborate with portfolio managers and traders to understand market needs and translate them into quantitative solutions.
- Research and evaluate new data sources and technologies that can enhance trading performance.
- Build and maintain robust data pipelines and analytical tools.
- Monitor the performance of trading strategies and identify areas for improvement.
- Contribute to the firm's research efforts in areas such as machine learning, time series analysis, and econometrics.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Ensure the integrity and accuracy of all quantitative models and analyses.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 8 years of experience in quantitative finance, algorithmic trading, or a related field.
- Proven expertise in statistical modeling, time series analysis, machine learning, and financial econometrics.
- Strong programming skills in Python and C++, with experience in data analysis libraries (e.g., NumPy, Pandas, SciPy).
- Experience with large datasets and high-performance computing environments.
- Excellent understanding of financial markets, derivatives, and trading mechanics.
- Demonstrated ability to work independently and productively in a remote setting.
- Strong problem-solving skills and the ability to think critically and creatively.
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
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3
Principal Quantitative Analyst, Remote Algorithmic Trading
Posted 20 days ago
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Job Description
Our client, a cutting-edge fintech firm specializing in sophisticated financial solutions, is looking for a highly experienced Principal Quantitative Analyst to spearhead their fully remote algorithmic trading strategy division. This senior role demands a deep theoretical understanding and practical application of quantitative finance, statistical modeling, and machine learning to develop and refine high-frequency trading algorithms. You will be at the forefront of identifying market inefficiencies, designing predictive models, and implementing robust trading systems that generate alpha. This is a remote-first position, requiring a proactive individual who can thrive in an autonomous work environment, collaborate effectively with a dispersed team of traders and developers, and contribute significantly to the firm's trading success. The ideal candidate possesses exceptional analytical prowess, a proven history of developing profitable trading strategies, and a passion for pushing the boundaries of financial technology.
Responsibilities:
Responsibilities:
- Design, develop, and implement sophisticated quantitative trading strategies and algorithms.
- Conduct extensive research into market microstructure, statistical arbitrage, and predictive modeling techniques.
- Analyze vast datasets of historical and real-time market data to identify trading opportunities and risks.
- Build and maintain robust backtesting frameworks and performance evaluation tools.
- Collaborate closely with portfolio managers and software engineers to deploy and optimize trading strategies in live environments.
- Monitor trading system performance, identify anomalies, and implement necessary adjustments.
- Stay current with the latest advancements in quantitative finance, machine learning, and artificial intelligence.
- Develop and refine risk management protocols for algorithmic trading portfolios.
- Generate clear and concise reports and presentations on strategy performance, research findings, and market insights for senior management.
- Mentor junior quantitative analysts and contribute to the overall intellectual capital of the team.
- Contribute to the strategic direction of the quantitative trading desk in a fully remote capacity.
- Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Physics, Computer Science, Statistics, Financial Engineering, or Economics.
- A minimum of 7 years of experience in quantitative finance, with a strong focus on algorithmic trading strategy development.
- Demonstrated success in designing and implementing profitable trading algorithms.
- Expert-level proficiency in programming languages such as Python, C++, or Java, and associated libraries (e.g., NumPy, Pandas, Scikit-learn).
- Deep understanding of financial markets, statistical modeling, time-series analysis, and machine learning techniques.
- Experience with large-scale data analysis and high-performance computing environments.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas effectively in a remote setting.
- Proven ability to work independently, manage multiple priorities, and deliver results in a fast-paced, autonomous environment.
- Familiarity with various asset classes and trading venues is a plus.
- A passion for financial markets and quantitative research is essential.
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4
Principal Financial Quantitative Analyst
Posted 20 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.
5
Remote Financial Risk Analyst - Quantitative Modeling
Posted 19 days ago
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Job Description
Our client, a dynamic and forward-thinking financial institution, is looking for a highly analytical and quantitative Remote Financial Risk Analyst to join their esteemed team. This position is entirely remote, offering the flexibility to work from anywhere while contributing to critical risk management functions. The successful candidate will be responsible for developing, implementing, and maintaining sophisticated models to assess and mitigate various financial risks, including market risk, credit risk, and operational risk. You will work closely with cross-functional teams to identify potential vulnerabilities, design risk mitigation strategies, and ensure compliance with regulatory requirements.
Key Responsibilities:
The ideal candidate will hold a Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field. A strong background in financial markets, risk management principles, and advanced statistical techniques is essential. Proven experience in developing and implementing risk models (e.g., VaR, Expected Shortfall, credit scoring models) is required. Proficiency in programming languages such as Python, R, or C++ and experience with financial databases (e.g., Bloomberg, Refinitiv) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical for success in this remote role. You will be a key contributor to the firm's robust risk management infrastructure, ensuring financial stability and sound decision-making. This opportunity is perfect for a quantitative professional seeking a challenging and rewarding remote career. This role is strategically linked to our operations serving clients in **Ongata Rongai, Kajiado, KE**.
Key Responsibilities:
- Developing and validating quantitative models for risk assessment and measurement.
- Analyzing financial data to identify trends, patterns, and potential risk exposures.
- Conducting stress testing and scenario analysis to evaluate portfolio resilience.
- Monitoring risk limits and thresholds, and escalating breaches as necessary.
- Collaborating with trading desks, portfolio managers, and business units to understand risk profiles.
- Preparing detailed risk reports for senior management and regulatory bodies.
- Contributing to the development and enhancement of risk management frameworks and policies.
- Implementing and utilizing risk management software and tools.
- Staying updated on market developments and regulatory changes impacting financial risk.
- Providing expertise and support on complex risk-related issues.
The ideal candidate will hold a Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field. A strong background in financial markets, risk management principles, and advanced statistical techniques is essential. Proven experience in developing and implementing risk models (e.g., VaR, Expected Shortfall, credit scoring models) is required. Proficiency in programming languages such as Python, R, or C++ and experience with financial databases (e.g., Bloomberg, Refinitiv) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical for success in this remote role. You will be a key contributor to the firm's robust risk management infrastructure, ensuring financial stability and sound decision-making. This opportunity is perfect for a quantitative professional seeking a challenging and rewarding remote career. This role is strategically linked to our operations serving clients in **Ongata Rongai, Kajiado, KE**.
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6
Senior Financial Risk Analyst, Quantitative Modeling
Posted 20 days ago
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Job Description
Our client is seeking a seasoned Senior Financial Risk Analyst specializing in Quantitative Modeling to join their esteemed, fully remote financial services division. This critical role involves developing, implementing, and validating sophisticated risk models used for credit risk, market risk, and operational risk management. The ideal candidate will possess a strong quantitative background, extensive experience in financial modeling, and a deep understanding of regulatory requirements. Responsibilities include designing and building predictive models, conducting stress testing and scenario analysis, performing back-testing and model validation, and contributing to regulatory submissions. You will work closely with portfolio managers, traders, and compliance officers to ensure robust risk management practices. Proficiency in programming languages such as Python, R, or C++, and experience with financial modeling libraries and databases are essential. A Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field is mandatory. A Master's degree or PhD in a relevant discipline is highly preferred. A minimum of 6 years of experience in financial risk management, with a strong emphasis on quantitative modeling, is required. Candidates must demonstrate excellent analytical skills, attention to detail, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. This remote position offers a significant opportunity to influence key risk management decisions within a leading financial institution.
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7
Sports Analytics Specialist
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge sports analytics firm, is looking for a talented and passionate Sports Analytics Specialist to join their fully remote team. This is an exciting opportunity for an individual with a strong aptitude for data analysis, statistical modeling, and a deep understanding of sports. As a Sports Analytics Specialist, you will be responsible for collecting, cleaning, and analyzing vast datasets related to athletic performance, game statistics, and player behavior across various sports. Your insights will be critical in informing strategic decisions for athletes, teams, and sports organizations, aiming to optimize performance, identify talent, and enhance game strategies. You will develop predictive models, create visualizations, and present complex findings in a clear and understandable manner to both technical and non-technical stakeholders. The ideal candidate will possess a robust background in statistics, mathematics, computer science, or a related quantitative field, coupled with a genuine passion for sports. Proficiency in data analysis tools and programming languages such as Python, R, or SQL is essential. You should be adept at translating raw data into actionable recommendations and possess excellent communication skills to articulate your findings effectively. This remote role requires a self-starter with a proactive approach to problem-solving and a commitment to staying ahead of the curve in the evolving field of sports analytics. If you are driven by data, love sports, and are looking for a challenging and rewarding remote career, this position is perfect for you.
Responsibilities:
Responsibilities:
- Collect, clean, and process large sports-related datasets.
- Develop and apply statistical models to analyze player and team performance.
- Create predictive models for game outcomes, player development, and strategic planning.
- Visualize data and present findings through reports, dashboards, and presentations.
- Collaborate with coaches, athletes, and management to provide data-driven insights.
- Identify trends and patterns in sports data to inform decision-making.
- Stay updated on the latest advancements in sports analytics techniques and technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new analytical tools and methodologies.
- Communicate complex analytical concepts to diverse audiences.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical concepts and machine learning techniques.
- Deep knowledge and passion for one or more sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage projects in a remote environment.
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8
Quantitative Analyst - Financial Modeling
Posted 15 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly analytical and detail-oriented Quantitative Analyst to join their esteemed team in Kitale, Trans-Nzoia, KE . This critical role involves developing, implementing, and maintaining sophisticated financial models to support trading strategies, risk management, and product development. The ideal candidate will possess a strong quantitative background, exceptional mathematical acumen, and a deep understanding of financial markets and instruments. Responsibilities include designing complex pricing and risk models for derivatives and other financial products, performing statistical analysis on large datasets, back-testing model performance, and validating model outputs. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions to complex financial problems. The role requires a proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and experience with financial databases and tools. The ability to clearly communicate intricate quantitative concepts to non-technical stakeholders is essential. We are seeking an individual who is passionate about finance, possesses a relentless drive for accuracy, and thrives in a challenging, fast-paced environment. You will play a key role in ensuring the firm's competitive advantage through rigorous quantitative analysis and innovation. The successful candidate will be expected to stay abreast of market trends and regulatory changes, adapting models accordingly. A strong commitment to ethical practices and compliance is fundamental.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar role.
- Proven experience in developing and implementing financial models (pricing, risk, econometrics).
- Strong programming skills in Python, R, C++, or MATLAB.
- Familiarity with financial markets, derivatives, and fixed income instruments.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Strong communication and presentation abilities, with the capacity to explain complex quantitative concepts to diverse audiences.
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