27 Senior Quantitative Analyst Quant jobs in Nairobi
Senior Quantitative Analyst (Quant)
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst (Quant) to join their elite, fully remote trading strategies team. This role requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills to develop and implement complex trading algorithms and risk management systems. You will work with vast datasets, pushing the boundaries of quantitative finance. This is a remote-first opportunity, enabling you to contribute from anywhere, with specific collaboration opportunities relevant to the financial ecosystem around **Mombasa, Mombasa, KE**.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and implement quantitative trading strategies across various asset classes.
- Design and build sophisticated mathematical models for pricing, risk management, and portfolio optimization.
- Analyze large, complex financial datasets to identify market trends and trading opportunities.
- Write high-quality, efficient, and maintainable code in languages such as Python, C++, or R.
- Collaborate closely with traders, portfolio managers, and other quantitative analysts in a remote environment.
- Monitor the performance of trading algorithms and risk systems, making necessary adjustments.
- Research and stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Contribute to the development of the firm's trading infrastructure and analytics platforms.
- Effectively communicate complex quantitative concepts and results to both technical and non-technical stakeholders.
- Participate in strategic discussions regarding market opportunities and risk exposure, considering insights relevant to **Mombasa, Mombasa, KE**'s economic activities.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 6 years of professional experience in quantitative finance, trading, or a related analytical role.
- Strong expertise in statistical modeling, time series analysis, stochastic calculus, and machine learning.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, SQL).
- Deep understanding of financial markets, instruments, and trading strategies.
- Experience with large-scale data analysis and high-performance computing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently, manage priorities, and deliver results in a demanding remote setting.
- Strong communication and interpersonal skills for effective collaboration.
- Familiarity with the financial sector dynamics in **Mombasa, Mombasa, KE** and its implications for trading strategies is advantageous.
This advertiser has chosen not to accept applicants from your region.
0
Lead Quantitative Analyst
Posted 10 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.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join our globally distributed, fully remote finance team. This critical role will involve developing sophisticated financial models, performing complex data analysis, and contributing to strategic decision-making within the banking and finance sector. The ideal candidate will possess a deep understanding of financial markets, advanced statistical techniques, and programming proficiency. You will be instrumental in driving innovation through quantitative insights and developing solutions that enhance trading strategies, risk management, and portfolio optimization. Responsibilities include:
- Developing, implementing, and validating quantitative models for pricing, risk management, and trading strategies.
- Conducting in-depth statistical analysis of financial market data to identify trends and opportunities.
- Designing and backtesting trading algorithms.
- Collaborating closely with portfolio managers, traders, and risk managers in a virtual setting.
- Producing clear and concise reports and presentations on complex quantitative findings.
- Contributing to the development of new financial products and services.
- Ensuring compliance with regulatory requirements and internal policies.
- Mentoring junior quantitative analysts and fostering a high-performance team culture.
- Optimizing existing models and processes for efficiency and accuracy.
- Staying current with the latest academic research and industry best practices in quantitative finance.
- Exploring new data sources and analytical methodologies to gain a competitive edge.
- Contributing to the firm's quantitative research initiatives.
- Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading.
- Strong programming skills in languages such as Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- In-depth knowledge of financial markets, derivatives, and fixed income instruments.
- Expertise in statistical modeling, econometrics, machine learning, and time series analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, essential for articulating complex quantitative concepts to diverse audiences remotely.
- Proven ability to work independently and manage multiple priorities effectively in a remote work environment.
- Experience with large datasets and database technologies (e.g., SQL).
- Familiarity with risk management frameworks and regulatory landscapes is a plus.
This advertiser has chosen not to accept applicants from your region.
2
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.
3
Principal Quantitative Analyst - Remote
Posted 3 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.
This advertiser has chosen not to accept applicants from your region.
4
Lead Quantitative Analyst (Remote)
Posted 5 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 .
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst - Algorithmic Trading
Posted 15 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**.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Senior quantitative analyst quant Jobs in Nairobi !
6
Senior Quantitative Analyst - Risk Modeling
Posted 20 days ago
Job Viewed
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
Lead Quantitative Analyst, Risk Management
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is searching for a Lead Quantitative Analyst to join their remote risk management team. This is a unique opportunity to work from anywhere in Kenya and play a pivotal role in developing and implementing sophisticated risk models. You will be at the forefront of quantitative finance, contributing to the stability and strategic direction of our client's operations.
Key responsibilities include designing, developing, and validating quantitative models for credit risk, market risk, and operational risk. You will analyze large datasets, identify trends, and provide actionable insights to senior management. This role requires a strong understanding of financial markets, derivative pricing, and statistical modeling techniques. Collaboration with business units, IT, and compliance teams will be essential to ensure the effective deployment and monitoring of models. You will also be responsible for staying abreast of regulatory changes and industry best practices in quantitative risk management. The ideal candidate possesses exceptional analytical prowess, advanced programming skills (e.g., Python, R, C++), and a deep understanding of financial instruments and risk metrics. Experience with risk management software and data visualization tools is a plus. As a lead, you will mentor junior analysts, oversee model development projects, and communicate complex technical concepts clearly and concisely to diverse audiences. This position demands a high degree of autonomy, excellent problem-solving abilities, and a commitment to producing accurate and reliable results in a remote setting. Strong communication and interpersonal skills are vital for effective virtual collaboration. If you are a highly motivated quantitative professional seeking a challenging and rewarding remote career in banking and finance, we encourage you to apply. The **job location** is remote, and while this position is associated with our operations, no physical relocation to Mombasa, Mombasa, KE is necessary.
Key responsibilities include designing, developing, and validating quantitative models for credit risk, market risk, and operational risk. You will analyze large datasets, identify trends, and provide actionable insights to senior management. This role requires a strong understanding of financial markets, derivative pricing, and statistical modeling techniques. Collaboration with business units, IT, and compliance teams will be essential to ensure the effective deployment and monitoring of models. You will also be responsible for staying abreast of regulatory changes and industry best practices in quantitative risk management. The ideal candidate possesses exceptional analytical prowess, advanced programming skills (e.g., Python, R, C++), and a deep understanding of financial instruments and risk metrics. Experience with risk management software and data visualization tools is a plus. As a lead, you will mentor junior analysts, oversee model development projects, and communicate complex technical concepts clearly and concisely to diverse audiences. This position demands a high degree of autonomy, excellent problem-solving abilities, and a commitment to producing accurate and reliable results in a remote setting. Strong communication and interpersonal skills are vital for effective virtual collaboration. If you are a highly motivated quantitative professional seeking a challenging and rewarding remote career in banking and finance, we encourage you to apply. The **job location** is remote, and while this position is associated with our operations, no physical relocation to Mombasa, Mombasa, KE is necessary.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious investment firm, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their dynamic team. This role focuses on developing and implementing sophisticated quantitative models and algorithms for algorithmic trading strategies. The successful candidate will be instrumental in researching, designing, and testing new trading strategies, as well as optimizing existing ones to enhance profitability and manage risk. You will work closely with portfolio managers and traders to translate market insights into actionable trading strategies. Key responsibilities include performing complex statistical analysis, back-testing models using historical data, and developing predictive models for market movements. The ideal candidate will possess a strong understanding of financial markets, derivative pricing, econometrics, and programming languages commonly used in quantitative finance, such as Python, R, or C++. Experience with machine learning techniques applied to financial data is highly desirable. You will be expected to generate clear and concise reports and presentations to communicate findings and recommendations to both technical and non-technical audiences. This position requires a rigorous, detail-oriented approach to problem-solving and the ability to work effectively in a fast-paced, collaborative environment. A Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial services industry is essential. Proven experience in developing and deploying quantitative trading models is a must. Familiarity with real-time data processing and low-latency trading systems is a significant advantage. This role offers a hybrid work arrangement, allowing for a combination of remote work and in-office collaboration, providing flexibility while fostering teamwork. Excellent communication and interpersonal skills are crucial for success in this role. If you have a passion for quantitative finance and a drive to innovate in the trading space, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
9