534 Remote Senior Quantitative Analyst Risk Management jobs in Kenya
Remote Senior Quantitative Analyst - Risk Management
Posted 12 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and technically proficient Remote Senior Quantitative Analyst to join its Risk Management division. This is a fully remote position offering a sophisticated challenge in developing and implementing advanced quantitative models. You will be instrumental in assessing, monitoring, and mitigating financial risks across the organization. Key responsibilities include designing, testing, and validating complex mathematical and statistical models for areas such as credit risk, market risk, operational risk, and capital adequacy. You will leverage sophisticated programming languages and analytical tools to perform data analysis, build predictive models, and conduct stress testing. The ideal candidate will possess a strong academic background in a quantitative field, coupled with extensive experience in financial modeling and risk management. Exceptional programming skills in languages like Python, R, or C++, and proficiency with SQL and big data technologies are essential. You should have a deep understanding of financial markets, derivatives, and regulatory requirements. Excellent communication skills are vital for articulating complex quantitative concepts to non-technical stakeholders and senior management. This role requires a meticulous, innovative thinker capable of contributing significantly to the firm's risk framework while benefiting from a remote work setup. Responsibilities include:
- Developing, implementing, and validating quantitative risk models.
- Performing complex data analysis, statistical modeling, and simulations.
- Conducting stress testing and scenario analysis for risk assessment.
- Contributing to the enhancement of risk management frameworks and policies.
- Collaborating with business units to understand risk exposures and needs.
- Staying abreast of regulatory changes and industry best practices in quantitative finance.
- Communicating complex analytical findings to technical and non-technical audiences.
- Mentoring junior quantitative analysts.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 8 years of experience in quantitative analysis, risk management, or a related financial role.
- Proficiency in programming languages like Python, R, or C++.
- Strong knowledge of SQL, database management, and big data technologies.
- In-depth understanding of financial markets, instruments, and risk management principles.
- Experience with financial modeling, econometrics, and statistical techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior written and verbal communication abilities.
- Ability to thrive in a remote work environment and manage projects independently.
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst (Risk Management) (Remote)
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst specializing in Risk Management. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models used for assessing and managing financial risks, including credit risk, market risk, and operational risk. Your work will involve leveraging advanced statistical techniques, mathematical modeling, and data science to build robust risk measurement frameworks. You will analyze large datasets, identify patterns, and provide critical insights to inform risk mitigation strategies and regulatory compliance. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with significant practical experience in the banking or financial services sector. You will work closely with risk management teams, traders, and regulatory bodies, translating complex financial concepts into actionable analytical solutions. This role requires exceptional programming skills, a meticulous approach to detail, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and validate quantitative models for risk assessment (credit, market, operational risk).
- Perform statistical analysis on large financial datasets to identify trends and anomalies.
- Design and backtest risk measurement methodologies and metrics.
- Contribute to the development of pricing models and hedging strategies.
- Ensure compliance with regulatory requirements (e.g., Basel Accords, IFRS 9).
- Collaborate with business units to understand risk exposures and define modeling requirements.
- Prepare detailed reports and presentations on model performance and risk insights.
- Stay abreast of the latest advancements in quantitative finance and risk management techniques.
- Mentor junior quantitative analysts and contribute to team knowledge development.
- Automate data processes and model validation procedures.
Qualifications:
- Master's degree or Ph.D. in Quantitative Finance, Economics, Mathematics, Statistics, Physics, or a related field.
- Minimum of 5-7 years of experience in quantitative analysis within the financial industry.
- Expertise in financial modeling, statistical analysis, and risk management principles.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial instruments, markets, and regulatory frameworks.
- Experience with data manipulation and database technologies (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and effectively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
1
Lead Quantitative Analyst (Quant) - Algorithmic Trading
Posted 17 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking a highly skilled and experienced Lead Quantitative Analyst (Quant) to join their cutting-edge, fully remote trading strategies team. This critical role will involve designing, developing, and implementing sophisticated quantitative models and algorithms for high-frequency trading and portfolio optimization. You will be at the forefront of developing innovative trading strategies, leveraging advanced statistical techniques, machine learning, and econometrics. Key responsibilities include conducting rigorous backtesting and performance analysis, identifying profitable trading opportunities, and managing the risk associated with algorithmic trading strategies. The ideal candidate will possess a deep understanding of financial markets, derivatives, and modern portfolio theory. You will work closely with traders and technologists to translate research ideas into production-ready trading systems. This position demands exceptional analytical and programming skills, with proficiency in languages such as Python, C++, and R. A strong academic background in a quantitative field (e.g., Mathematics, Physics, Computer Science, Statistics) is essential, coupled with extensive experience in quantitative finance. You will be instrumental in guiding junior quants, contributing to the team's overall research direction, and ensuring the robustness and performance of our trading infrastructure. This is an unparalleled opportunity to apply your quantitative expertise in a highly stimulating, remote-first environment, making significant contributions to the firm's trading success. You will thrive in a fast-paced, intellectually challenging setting, pushing the boundaries of quantitative finance. The ability to manage complex projects, collaborate effectively with remote colleagues, and communicate intricate concepts clearly is vital.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative finance, algorithmic trading, or statistical modeling in the financial industry.
- Proven track record in developing and deploying successful quantitative trading strategies.
- Expertise in statistical modeling, machine learning, time series analysis, and econometrics.
- Advanced programming skills in Python, C++, R, or similar languages.
- Deep understanding of financial markets, derivatives pricing, and risk management.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex quantitative concepts to diverse audiences.
- Experience working in a remote team environment is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Quantitative Analyst (Quant) - Algorithmic Trading (Remote)
Posted 21 days ago
Job Viewed
Job Description
Our client, a leading fintech firm, is seeking a brilliant and highly analytical Quantitative Analyst (Quant) specializing in algorithmic trading. This is a demanding, fully remote position that requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills. You will be at the forefront of developing, implementing, and optimizing high-frequency trading strategies. Your responsibilities will include designing complex algorithms, back-testing them rigorously using historical data, and deploying them into live trading environments. You will continuously monitor and refine trading performance, analyze market microstructure, and identify new trading opportunities. The ideal candidate possesses a strong mathematical aptitude, exceptional problem-solving abilities, and a proven track record in quantitative finance or algorithmic trading. Proficiency in languages such as Python, C++, or R, along with experience in machine learning and big data technologies, is essential. You will collaborate with a team of talented quants and developers, working in a fast-paced, research-driven environment. This role requires a self-starter who can thrive independently in a remote setting, demonstrating initiative, meticulous attention to detail, and the ability to handle pressure. You must be comfortable working with large datasets, complex mathematical models, and cutting-edge technology. The ability to explain intricate quantitative concepts clearly to both technical and non-technical audiences is also vital. This is a unique opportunity for a highly skilled quantitative professional to contribute to groundbreaking trading solutions and achieve significant impact in the global financial markets. The **Nairobi, Nairobi, KE** region is noted for its growing financial technology sector.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement quantitative trading algorithms.
- Conduct rigorous back-testing and statistical analysis of trading strategies.
- Analyze market data to identify trading opportunities and risks.
- Optimize algorithm performance and manage live trading systems.
- Collaborate with traders and software engineers to enhance trading infrastructure.
- Research and apply advanced mathematical and statistical techniques, including machine learning.
- Monitor market microstructure and trading execution quality.
- Develop and maintain tools for strategy research and performance analysis.
- Stay abreast of market trends, new technologies, and regulatory changes.
- Document methodologies and results clearly and comprehensively.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience in quantitative trading, algorithmic strategy development, or related quantitative finance roles.
- Expert-level programming skills in Python, C++, or R.
- Strong understanding of financial markets, derivatives, and trading strategies.
- Experience with machine learning techniques and data analysis libraries.
- Familiarity with big data technologies and database management.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Ability to work independently, manage priorities, and deliver results in a remote environment.
- Strong communication and collaboration skills.
- Deep understanding of statistical modeling and probability theory.
This advertiser has chosen not to accept applicants from your region.
3
Job Description
Our client is actively seeking a highly analytical and mathematically adept Quantitative Analyst (Quant) to join their finance team. This is a fully remote position, allowing you to work from anywhere. The ideal candidate will possess a strong background in financial modeling, statistical analysis, and programming, with a proven ability to develop and implement complex quantitative strategies. You will be responsible for designing, testing, and deploying sophisticated financial models for pricing, risk management, and trading strategies. As a remote member of the team, you will collaborate closely with traders, portfolio managers, and risk officers, providing data-driven insights and quantitative solutions. Your core responsibilities will include developing algorithms, performing statistical analysis on large datasets, and building predictive models. You will also contribute to the development and validation of risk assessment frameworks and stress testing methodologies. A deep understanding of financial markets, derivatives, and portfolio theory is essential. The successful candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with at least 5 years of experience as a Quantitative Analyst in the banking or financial services industry. Proficiency in programming languages like Python, R, C++, or Java, and experience with financial libraries and databases are required. Strong problem-solving skills, meticulous attention to detail, and excellent communication abilities are crucial for effectively conveying complex quantitative concepts. This is an exceptional opportunity to apply advanced quantitative skills in a challenging and rewarding remote role, contributing to the financial sector in the vicinity of Kitale, Trans-Nzoia, KE .
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst (Quant) - Remote Trading Strategies
Posted 18 days ago
Job Viewed
Job Description
Our client, a premier quantitative trading firm, is seeking a highly skilled Senior Quantitative Analyst to join their elite remote team. This role is essential for developing, backtesting, and deploying sophisticated quantitative trading strategies across various asset classes. You will work closely with portfolio managers and traders, leveraging advanced statistical modeling, machine learning techniques, and programming expertise to drive alpha generation. The ideal candidate possesses a rigorous analytical mindset, exceptional programming skills, and a deep understanding of financial markets and derivatives.
Responsibilities:
Qualifications:
This fully remote position, conceptually located near Naivasha, Nakuru, KE , offers an exceptional opportunity to work at the forefront of financial technology and quantitative trading. If you are a brilliant quantitative mind driven by innovation, apply today.
Responsibilities:
- Research, design, implement, and validate quantitative trading strategies.
- Develop and maintain high-frequency trading algorithms and execution systems.
- Analyze large financial datasets to identify market inefficiencies and trading opportunities.
- Build predictive models using statistical methods, machine learning, and AI.
- Collaborate with traders and portfolio managers to refine strategies and execute trades.
- Conduct rigorous backtesting and performance analysis of trading algorithms.
- Optimize trading systems for performance, latency, and scalability.
- Stay current with academic research and industry trends in quantitative finance and machine learning.
- Document methodologies, code, and research findings comprehensively.
- Contribute to the firm's intellectual property and research initiatives.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis or a similar role within the financial industry, preferably in a hedge fund or proprietary trading environment.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Expert proficiency in programming languages such as Python, C++, or R.
- Strong knowledge of financial markets, derivatives, risk management, and portfolio theory.
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and effectively within a remote, collaborative team.
- Strong communication skills to explain complex quantitative concepts to non-technical stakeholders.
- Experience with low-latency systems and high-performance computing is a plus.
This fully remote position, conceptually located near Naivasha, Nakuru, KE , offers an exceptional opportunity to work at the forefront of financial technology and quantitative trading. If you are a brilliant quantitative mind driven by innovation, apply today.
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst (Quant)
Posted 21 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is actively seeking an exceptional Lead Quantitative Analyst (Quant) to join their elite, fully remote trading and risk management division. This senior role is critical in developing and implementing sophisticated mathematical models and algorithms to drive trading strategies, manage risk, and price complex financial instruments. You will be at the forefront of financial innovation, working in a dynamic, remote-first environment that fosters collaboration and cutting-edge research. Your responsibilities will include designing, testing, and deploying quantitative models across various asset classes, conducting rigorous backtesting and performance analysis, and ensuring the accuracy and robustness of trading systems. You will collaborate closely with portfolio managers, traders, and risk managers to provide data-driven insights and solutions to complex financial challenges. A significant part of this role involves mentoring junior quants, contributing to the team's intellectual capital, and staying abreast of the latest developments in financial engineering and computational finance. The ideal candidate holds a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with extensive experience as a quantitative analyst in the financial industry. Demonstrated expertise in programming languages like Python, C++, or R, alongside a deep understanding of statistical modeling, stochastic calculus, and numerical methods, is mandatory. Exceptional analytical, problem-solving, and communication skills are essential for articulating complex concepts to both technical and non-technical audiences in a remote setting. Experience with machine learning and artificial intelligence in finance is highly advantageous. This is an extraordinary opportunity to leverage your quantitative expertise to make a significant impact on global financial markets, potentially from **Kakamega, Kakamega, KE**, within a highly respected, remote-capable institution. We are looking for brilliant minds driven by intellectual curiosity and a passion for quantitative finance.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Remote senior quantitative analyst risk management Jobs in Kenya !
6
Senior Quantitative Analyst (Quant)
Posted 21 days ago
Job Viewed
Job Description
Our client, a highly respected financial institution, is seeking a talented and analytical Senior Quantitative Analyst (Quant) to join their fully remote team. This role is central to developing and implementing sophisticated mathematical models and trading strategies that drive investment performance. You will be responsible for designing, testing, and deploying quantitative models for areas such as risk management, portfolio optimization, pricing, and algorithmic trading. The ideal candidate will possess a strong academic background in a quantitative discipline, such as Mathematics, Physics, Statistics, or Financial Engineering, along with significant experience in financial markets. This is a remote-first position, requiring exceptional programming skills, deep analytical capabilities, and the ability to work independently and collaboratively in a virtual environment. Responsibilities include data analysis, backtesting trading strategies, managing and processing large financial datasets, and communicating complex findings to traders, portfolio managers, and senior management. The successful applicant will have advanced proficiency in programming languages like Python, C++, or R, and extensive experience with financial modeling libraries and tools. A Master's or Ph.D. in a quantitative field is strongly preferred. We are seeking individuals with a meticulous attention to detail, a rigorous scientific approach to problem-solving, and a deep understanding of financial instruments and market dynamics. This is an exceptional opportunity to apply advanced quantitative techniques in a challenging and rewarding environment, contributing directly to the firm's success from a remote location. Experience with machine learning techniques applied to finance is highly desirable. A solid understanding of stochastic calculus, time series analysis, and econometrics is essential. The candidate should be adept at working with real-time data and developing high-performance algorithms. Strong communication skills are necessary to explain complex models to non-technical stakeholders.
This advertiser has chosen not to accept applicants from your region.
7
Lead Quantitative Analyst (Quants) - Remote
Posted 1 day ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking an exceptionally talented Lead Quantitative Analyst (Quant) to spearhead complex financial modeling and risk management initiatives within a fully remote setting. This role is ideal for a candidate with a profound mathematical and statistical aptitude, capable of developing and implementing sophisticated algorithms and pricing models for a wide range of financial instruments. You will play a critical role in shaping the firm's trading strategies, risk assessment frameworks, and regulatory compliance efforts, with a strategic focus impacting financial markets relevant to institutions operating in or influencing the Kericho, Kericho, KE financial landscape.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and validate advanced quantitative models for pricing, hedging, and risk management of financial derivatives and other complex instruments.
- Design and backtest trading strategies using historical and real-time market data.
- Conduct rigorous statistical analysis of market data to identify trends, patterns, and trading opportunities.
- Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Implement quantitative models into production systems, working with software development teams.
- Ensure models comply with regulatory requirements (e.g., Basel III, Dodd-Frank) and internal policies.
- Perform sensitivity analysis and stress testing on models to assess their robustness under various market conditions.
- Research and evaluate new quantitative techniques and technologies to enhance modeling capabilities.
- Mentor and guide junior quantitative analysts, fostering a culture of learning and innovation.
- Prepare technical documentation and present complex quantitative concepts to both technical and non-technical audiences.
- Contribute to the firm's quantitative research agenda and thought leadership.
- Optimize existing models for performance and accuracy.
- Stay abreast of cutting-edge academic research in quantitative finance and related fields.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science.
- Minimum of 7 years of experience as a Quantitative Analyst in investment banking, asset management, or hedge funds.
- Deep expertise in stochastic calculus, time series analysis, probability theory, and statistical modeling.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or MATLAB.
- Experience with financial data vendors (e.g., Bloomberg, Refinitiv) and their APIs.
- Strong understanding of financial markets, derivatives pricing, and risk management principles.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Proven ability to translate complex mathematical concepts into practical applications.
- Strong communication and presentation skills, with the ability to explain intricate models clearly.
- Experience working in a fully remote, collaborative environment is essential.
- Familiarity with machine learning techniques applied to finance is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Remote Lead Quantitative Analyst (Quant)
Posted 4 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly skilled and experienced Remote Lead Quantitative Analyst (Quant) to join their cutting-edge trading and risk management division. This fully remote role offers the opportunity to work from anywhere while contributing to sophisticated financial modeling and strategy development. You will be responsible for designing, developing, and implementing complex mathematical models for pricing financial derivatives, managing risk, and optimizing trading strategies across various asset classes. This involves applying advanced statistical techniques, stochastic calculus, and machine learning algorithms to analyze market data and identify profitable opportunities. You will lead a team of quantitative analysts, providing technical direction, mentoring junior members, and overseeing the validation and implementation of models. Collaboration with portfolio managers, traders, and risk managers will be crucial to understand their needs and translate them into effective quantitative solutions. A significant part of your role will involve conducting rigorous back-testing and performance analysis of trading strategies and risk models. Experience with high-frequency trading environments, algorithmic trading, and derivative pricing is highly desirable. Proficiency in programming languages such as Python, C++, or R, along with experience using financial libraries and data platforms, is essential. This is a remote-first position, requiring exceptional analytical, problem-solving, and communication skills to effectively collaborate with global teams. While conceptually based in **Nairobi, Nairobi, KE**, your work will be performed entirely online. If you are a passionate quant with a proven ability to develop innovative financial models and lead high-performing teams in a remote setting, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
9