142 Trading Strategies jobs in Kenya
Senior Quantitative Analyst, Algorithmic Trading Strategies
20100 Kapsuser
KES100000 Annually
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Job Description
Our client, a globally recognized leader in investment banking and financial services, is actively recruiting a Senior Quantitative Analyst to join their innovative and entirely remote trading strategies division. This pivotal role focuses on the design, development, and implementation of sophisticated quantitative models and algorithms for algorithmic trading. The ideal candidate will possess a strong academic background in a quantitative discipline, exceptional programming skills, and a deep understanding of financial markets and statistical modeling. You will work in a fast-paced, collaborative, and intellectually stimulating environment, contributing to the development of cutting-edge trading solutions. This position is fully remote, requiring a high degree of self-motivation, excellent communication, and the ability to thrive in an independent work setting. The role demands a proactive approach to research, analysis, and the continuous improvement of trading strategies.
Responsibilities:
Responsibilities:
- Design, develop, backtest, and implement quantitative trading strategies and algorithms.
- Conduct rigorous statistical analysis of market data to identify trading opportunities and patterns.
- Build and maintain robust data pipelines for market data collection and processing.
- Collaborate with portfolio managers and traders to refine strategies and provide analytical support.
- Monitor the performance of trading algorithms and systems, identifying areas for optimization.
- Research and explore new quantitative techniques, machine learning models, and data sources.
- Ensure the accuracy, efficiency, and scalability of all quantitative models and code.
- Contribute to the team's knowledge base and mentor junior quantitative analysts.
- Adhere to all compliance and risk management policies.
- Effectively communicate complex quantitative concepts and results to both technical and non-technical audiences in a remote setting.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related financial modeling role.
- Strong programming skills in languages such as Python, C++, or R.
- Deep understanding of financial markets, trading mechanics, and statistical modeling techniques.
- Experience with large datasets and database management (e.g., SQL).
- Proven ability to develop and implement complex algorithms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
- Demonstrated ability to work independently, manage priorities, and deliver results in a remote environment.
- Familiarity with machine learning techniques is a plus.
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0
Lead Quantitative Analyst - Algorithmic Trading Strategies
00200 Ongata Rongai, Rift Valley
KES450000 Annually
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Posted 3 days ago
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Our client, a leading global financial institution, is seeking a highly accomplished Lead Quantitative Analyst to drive the development and implementation of sophisticated algorithmic trading strategies. This is a fully remote position, requiring a deep understanding of financial markets, advanced mathematical modeling, and expert programming skills. You will lead a team of quants in designing, backtesting, and deploying trading algorithms across various asset classes. This role is critical in shaping our client's quantitative trading capabilities and ensuring a competitive edge in the market.
Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Economics. A minimum of 7 years of experience in quantitative finance, with at least 3 years in a leadership or senior role, is required. Exceptional programming skills in Python, C++, or R, along with experience in data analysis libraries (NumPy, Pandas) and machine learning frameworks (TensorFlow, PyTorch), are essential. A strong understanding of financial markets, derivatives, and econometric modeling is crucial. Experience with large-scale data processing and distributed computing is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary to excel in this challenging remote role. If you are a brilliant quant professional ready to lead groundbreaking initiatives in algorithmic trading, we encourage you to apply.
Responsibilities:
- Develop, test, and deploy quantitative trading strategies across equity, fixed income, FX, and derivatives markets.
- Design and implement statistical and machine learning models to identify trading opportunities and manage risk.
- Conduct rigorous backtesting and performance analysis of trading algorithms, ensuring robustness and statistical significance.
- Collaborate with traders and portfolio managers to understand market dynamics and trading objectives.
- Lead a team of quantitative analysts, providing mentorship, technical guidance, and project management.
- Optimize trading strategies for execution efficiency and minimal market impact.
- Monitor live trading performance, identify issues, and implement timely solutions.
- Research and explore new data sources and analytical techniques to enhance trading strategies.
- Ensure the integrity and accuracy of data used in analysis and model development.
- Contribute to the development of proprietary trading platforms and tools.
- Communicate complex quantitative concepts effectively to both technical and non-technical stakeholders.
- Stay abreast of regulatory changes and their impact on quantitative trading.
- Manage the full lifecycle of quantitative trading strategies, from conception to production.
- Develop and maintain documentation for all models and strategies.
- Drive innovation in quantitative finance and algorithmic trading.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Economics. A minimum of 7 years of experience in quantitative finance, with at least 3 years in a leadership or senior role, is required. Exceptional programming skills in Python, C++, or R, along with experience in data analysis libraries (NumPy, Pandas) and machine learning frameworks (TensorFlow, PyTorch), are essential. A strong understanding of financial markets, derivatives, and econometric modeling is crucial. Experience with large-scale data processing and distributed computing is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary to excel in this challenging remote role. If you are a brilliant quant professional ready to lead groundbreaking initiatives in algorithmic trading, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Algorithmic Trading Strategies
00300 Ngong
KES350000 Annually
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Posted 3 days ago
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Our client, a leading investment firm, is seeking a highly analytical and driven Senior Quantitative Analyst to join their cutting-edge trading strategies team. This is a fully remote position, offering a unique opportunity for top talent to contribute to sophisticated financial modeling and algorithmic trading from anywhere in Kenya. The successful candidate will be responsible for developing, testing, and implementing complex quantitative models and trading algorithms. You will delve into large datasets, identify market inefficiencies, and design strategies to capitalize on them. This role requires a profound understanding of financial markets, statistical modeling, machine learning techniques, and advanced programming skills. You will collaborate closely with portfolio managers, traders, and other quants to drive innovation and enhance trading performance. Key responsibilities include conducting rigorous backtesting and performance analysis of strategies, monitoring live trading performance, and continuously refining models based on market dynamics. The ideal candidate will possess exceptional problem-solving abilities, a meticulous attention to detail, and a passion for quantitative finance. Proficiency in programming languages such as Python, C++, or R, along with experience in data analysis and statistical software, is essential. This position offers an intellectually stimulating environment with significant opportunities for professional growth and impact on trading outcomes. You will be instrumental in shaping the firm's quantitative investment approach and contributing to its sustained success in competitive markets. The role involves working with real-time market data, requiring robust system design and efficient coding practices. A strong grasp of risk management principles and their application in algorithmic trading is also vital. We are looking for a self-motivated individual who thrives in a remote, high-performance culture. The opportunity to research and develop novel quantitative strategies in a supportive and advanced technological setting makes this a highly attractive position for experienced professionals.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative trading strategies and algorithms.
- Conduct in-depth statistical analysis of financial market data.
- Build and maintain sophisticated financial models using machine learning and statistical techniques.
- Collaborate with portfolio managers and traders to optimize trading performance.
- Perform rigorous backtesting and performance evaluation of strategies.
- Monitor live trading systems and identify areas for improvement.
- Research new data sources and analytical methodologies.
- Write clean, efficient, and well-documented code in languages like Python or C++.
- Stay abreast of market trends, regulatory changes, and technological advancements in quantitative finance.
- Contribute to the firm's intellectual capital in quantitative research.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis, algorithmic trading, or a related field within the financial industry.
- Proven track record in developing and implementing successful trading strategies.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Advanced proficiency in programming languages (e.g., Python, C++, R) and related libraries (e.g., NumPy, Pandas, Scikit-learn).
- Strong understanding of financial markets, instruments, and trading mechanics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage complex projects in a remote setting.
- Strong communication skills to articulate complex quantitative concepts.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Algorithmic Trading Strategies
10200 Nyeri Town
KES350000 Annually
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Posted 3 days ago
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Job Description
Our client, a premier global investment firm, is seeking an exceptional Senior Quantitative Analyst to spearhead the research, development, and implementation of cutting-edge algorithmic trading strategies. This is a fully remote role, offering the flexibility to contribute from anywhere while working with a world-class team of financial engineers and data scientists. You will play a pivotal role in enhancing our firm's trading performance and exploring new market opportunities through sophisticated mathematical modeling and statistical analysis. Your core responsibilities will include devising and backtesting quantitative trading models, analyzing vast datasets to identify profitable patterns, and developing robust execution algorithms. You will need to possess a profound understanding of financial markets, econometrics, machine learning techniques, and statistical modeling. Proficiency in programming languages such as Python, R, or C++ is essential, along with extensive experience in data manipulation and analysis libraries. The ideal candidate will have a strong track record of success in developing and deploying profitable trading strategies. You will also be responsible for monitoring live trading systems, conducting performance attribution, and continuously refining existing strategies to adapt to market dynamics. This role requires a proactive approach to problem-solving, exceptional analytical acumen, and the ability to work autonomously in a remote setting. You will collaborate closely with traders and portfolio managers, translating complex quantitative insights into actionable trading decisions. The opportunity to shape the future of quantitative finance within a leading firm, supported by a fully remote infrastructure, makes this a truly unique career advancement.
Responsibilities:
Responsibilities:
- Research, design, and implement quantitative trading strategies.
- Develop and backtest complex mathematical and statistical models for financial markets.
- Analyze large datasets to identify market inefficiencies and trading opportunities.
- Build and optimize execution algorithms for low-latency trading.
- Collaborate with portfolio managers and traders to refine strategy parameters and risk management.
- Monitor the performance of live trading strategies and conduct in-depth analysis.
- Develop and maintain tools for data analysis, strategy simulation, and performance reporting.
- Stay current with academic research and industry advancements in quantitative finance and machine learning.
- Work independently and effectively manage projects in a remote work environment.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related financial engineering role.
- Strong programming skills in Python, R, or C++, with experience in relevant libraries (e.g., Pandas, NumPy, SciPy).
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and trading mechanics.
- Proven experience in developing and deploying profitable quantitative trading strategies.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work autonomously and demonstrate strong self-discipline in a remote setting.
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3
Senior Quantitative Financial Analyst - Algorithmic Trading Strategies
80204 Shella
KES250000 Annually
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Posted 3 days ago
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Job Description
Our client, a premier financial institution, is seeking an exceptionally talented Senior Quantitative Financial Analyst to lead the development and implementation of sophisticated algorithmic trading strategies. This is a fully remote role, empowering you to leverage your expertise from anywhere. You will be at the forefront of quantitative finance, designing, testing, and deploying complex models that drive trading performance across global markets. This position demands a rigorous analytical mindset, advanced programming skills, and a deep understanding of financial markets, statistical modeling, and machine learning techniques. Your responsibilities will include exploring new data sources, identifying predictive signals, and optimizing execution algorithms. Collaboration with portfolio managers, traders, and other quants will be essential, requiring superior communication skills to convey intricate concepts effectively in a virtual setting. We are looking for an individual who is passionate about innovation, driven by results, and capable of independent research and development within a high-stakes, fast-paced environment. The ability to manage complex projects, adapt to evolving market conditions, and contribute significantly to the firm's trading success is crucial.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies across various asset classes.
- Design and implement sophisticated statistical and machine learning models for market prediction and signal generation.
- Conduct in-depth research into market microstructure and optimal execution algorithms.
- Analyze large datasets to identify trading opportunities and risks.
- Collaborate with portfolio managers and traders to refine strategy objectives and performance.
- Monitor and evaluate the performance of live trading strategies, making necessary adjustments.
- Work closely with software engineers to ensure efficient and robust implementation of trading systems.
- Stay abreast of the latest advancements in quantitative finance, data science, and algorithmic trading.
- Document research findings, model methodologies, and trading system designs thoroughly.
- Contribute to a culture of innovation and continuous improvement within the quantitative team.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Financial Engineering.
- A minimum of 7 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry.
- Proven expertise in developing and implementing profitable trading strategies.
- Strong proficiency in programming languages such as Python, C++, or R, and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Deep understanding of statistical modeling, time series analysis, and machine learning algorithms.
- Excellent knowledge of financial markets, instruments, and trading mechanics.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to explain complex quantitative concepts clearly.
- Demonstrated ability to work independently and as part of a remote, global team.
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4
Remote Senior Quantitative Analyst - Algorithmic Trading Strategies
60100 Embu, Eastern
KES300000 Annually
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Posted 3 days ago
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Job Description
Our client, a prestigious global financial institution, is seeking a highly skilled and motivated Remote Senior Quantitative Analyst to join its dynamic trading strategies team. This role is entirely remote, offering the flexibility to work from anywhere while contributing to the development and refinement of sophisticated trading algorithms. You will leverage advanced mathematical modeling, statistical analysis, and programming skills to identify profitable trading opportunities in various financial markets. This position requires a deep understanding of financial instruments, market microstructure, and a passion for quantitative finance.
Responsibilities:
Responsibilities:
- Design, develop, and implement quantitative trading strategies across multiple asset classes (equities, futures, FX, options).
- Conduct in-depth statistical analysis and back-testing of trading models using historical and real-time market data.
- Identify and quantify market inefficiencies and opportunities for alpha generation.
- Collaborate with portfolio managers and traders to understand market dynamics and implement effective trading solutions.
- Develop and maintain high-quality, production-ready code for trading strategy execution.
- Monitor the performance of deployed strategies, identifying and addressing any deviations or performance degradation.
- Research and apply cutting-edge quantitative techniques and machine learning algorithms to enhance strategy performance.
- Analyze large datasets to extract meaningful insights and inform strategy development.
- Stay current with industry trends, regulatory changes, and technological advancements in quantitative finance.
- Document methodologies, strategies, and findings thoroughly.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial services industry.
- Strong programming skills in languages such as Python, C++, or R, with experience in data manipulation and scientific computing libraries.
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and trading mechanisms.
- Experience with large-scale data analysis and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical audiences.
- Proven ability to work independently and manage multiple projects simultaneously in a remote setting.
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5
Senior Quantitative Analyst - Trading Strategies
20100 Mwembe
KES150000 Annually
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Posted 3 days ago
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Job Description
Our client is looking for a highly analytical and motivated Senior Quantitative Analyst to design, develop, and implement sophisticated trading strategies. This role is entirely remote, allowing you to contribute to our cutting-edge financial operations from any location. You will be instrumental in leveraging statistical models, machine learning algorithms, and data science techniques to identify profitable trading opportunities across various financial markets. The ideal candidate will have a proven track record in quantitative finance, deep knowledge of financial instruments, and exceptional programming skills. You will work closely with a global team of traders, portfolio managers, and researchers, utilizing advanced analytical tools and collaborative platforms.
Key Responsibilities:
Key Responsibilities:
- Develop and backtest quantitative trading models for equities, fixed income, and derivatives.
- Conduct rigorous statistical analysis of market data to uncover patterns and correlations.
- Implement and optimize trading algorithms using programming languages such as Python, R, or C++.
- Collaborate with portfolio managers to translate research findings into actionable trading strategies.
- Monitor and evaluate the performance of live trading strategies, making necessary adjustments.
- Stay abreast of the latest developments in quantitative finance, machine learning, and algorithmic trading.
- Contribute to the design and improvement of our data infrastructure and analytical tools.
- Present research findings and strategy performance to senior management.
- Ensure compliance with all regulatory requirements and internal policies.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Physics.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role in the financial industry.
- Strong programming skills in Python or C++, with experience in data analysis libraries (e.g., Pandas, NumPy).
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, instruments, and trading mechanics.
- Experience with large datasets and database management.
- Excellent problem-solving and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and as part of a remote, distributed team.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
This advertiser has chosen not to accept applicants from your region.
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6
Director of Quantitative Trading Strategies
30200 Tuwan
KES1200000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly accomplished Director of Quantitative Trading Strategies to lead their advanced trading operations. This is a fully remote position, offering an exceptional opportunity to shape sophisticated algorithmic trading strategies from anywhere. You will be responsible for the end-to-end development, implementation, and ongoing management of quantitative trading models and strategies across various asset classes. This includes conducting in-depth market research, data analysis, backtesting, and performance monitoring to identify profitable trading opportunities. The ideal candidate will possess a strong background in quantitative finance, econometrics, machine learning, and programming (e.g., Python, C++). You will lead a team of talented quantitative analysts and traders, fostering a collaborative and data-driven environment. Key responsibilities involve designing alpha generation models, optimizing execution algorithms, managing risk, and ensuring the scalability and robustness of trading systems. A deep understanding of financial markets, statistical modeling, and real-time data processing is crucial. Excellent leadership, strategic thinking, and communication skills are required to effectively guide the team and interact with senior management in a remote setting. If you are a visionary leader with a passion for innovation in quantitative finance and a proven track record of success, this role offers unparalleled career growth.
Key Responsibilities:
Our client is dedicated to excellence in financial markets.
Key Responsibilities:
- Lead the research, development, and implementation of quantitative trading strategies.
- Design and build sophisticated mathematical models for alpha generation and risk management.
- Conduct rigorous backtesting and statistical analysis of trading strategies.
- Oversee the execution of algorithmic trading strategies and monitor performance.
- Manage and mentor a high-performing team of quantitative analysts and traders.
- Collaborate with technology teams to ensure the efficiency and scalability of trading infrastructure.
- Analyze market data, identify trends, and develop new trading opportunities.
- Stay abreast of the latest developments in quantitative finance, machine learning, and financial markets.
- Prepare reports and presentations on strategy performance and market insights.
- Ensure compliance with all relevant financial regulations and internal policies.
- Master's or Ph.D. in Quantitative Finance, Statistics, Economics, Computer Science, or a related quantitative field.
- Minimum of 10 years of experience in quantitative trading, portfolio management, or algorithmic strategy development.
- Proven track record of successfully developing and deploying profitable trading strategies.
- Expertise in statistical modeling, time series analysis, machine learning, and data mining.
- Proficiency in programming languages such as Python, C++, and R.
- Strong understanding of financial markets, derivatives, and risk management.
- Excellent leadership, team management, and communication skills.
- Ability to thrive in a fast-paced, demanding, and fully remote work environment.
- Experience with large-scale data analysis and distributed computing is a plus.
- Deep understanding of financial modeling and valuation techniques.
Our client is dedicated to excellence in financial markets.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Remote Trading Strategies
00200 Gathiruini
KES220000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a dynamic and innovative investment firm, is seeking a highly analytical Senior Quantitative Analyst to join their elite, fully remote trading strategies team. This critical role involves developing, testing, and implementing sophisticated quantitative trading models and algorithms for global financial markets. You will leverage your expertise in mathematics, statistics, programming, and finance to identify market opportunities and manage risk effectively, all from your home office. The ideal candidate will possess a deep understanding of financial instruments, market microstructure, time-series analysis, and machine learning techniques applied to finance. You will be responsible for rigorous backtesting and validation of strategies, performance attribution, and ongoing research into new quantitative approaches. This position requires exceptional programming skills, particularly in languages like Python, R, C++, or similar, and experience with large datasets. Collaboration with portfolio managers and other quantitative researchers will be key, conducted through advanced virtual communication tools. You will contribute to the firm's intellectual capital by presenting research findings and proposing innovative trading ideas. This is an unparalleled opportunity to work with a world-class team on challenging problems in a fast-paced environment, enjoying the complete flexibility of a remote-first role. If you are a highly motivated individual with a passion for quantitative finance and a proven ability to develop profitable trading strategies, we encourage you to apply. The administrative location for this position is **Mlolongo, Machakos, KE**, but the role is entirely remote. Join us in shaping the future of algorithmic trading.
Responsibilities:
Responsibilities:
- Develop, backtest, and implement quantitative trading strategies for various asset classes.
- Conduct in-depth statistical analysis and time-series modeling of market data.
- Utilize machine learning techniques to identify predictive signals and patterns.
- Collaborate with portfolio managers to refine and optimize trading strategies.
- Perform rigorous performance analysis and attribution of trading strategies.
- Research and evaluate new quantitative methodologies and data sources.
- Develop and maintain efficient and robust trading code.
- Manage and analyze large datasets related to market activity.
- Communicate research findings and strategy proposals clearly to team members.
- Stay current with advancements in quantitative finance and technology.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 7 years of experience in quantitative finance, algorithmic trading, or related research roles.
- Strong programming skills in Python, R, C++, or similar languages.
- Proven experience in developing and deploying quantitative trading models.
- Deep understanding of financial markets, instruments, and trading mechanics.
- Expertise in statistical modeling, time-series analysis, and machine learning algorithms.
- Experience with large-scale data analysis and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Ability to work independently and manage multiple projects simultaneously.
This advertiser has chosen not to accept applicants from your region.
8
Lead Quantitative Analyst - Remote Trading Strategies
20201 Mwembe
KES800000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious international financial institution, is looking for an experienced Lead Quantitative Analyst to spearhead the development of sophisticated trading strategies and risk management models. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for designing, backtesting, and implementing quantitative models for various financial markets, including equities, fixed income, and derivatives. Your role will involve rigorous statistical analysis, financial modeling, and algorithm development. We expect you to conduct in-depth market research, identify trading opportunities, and optimize existing strategies for enhanced profitability and reduced risk. Collaboration with portfolio managers, traders, and other quants will be crucial, requiring excellent communication skills in a virtual environment. Proficiency in programming languages such as Python, R, C++, and SQL is essential. Experience with financial data platforms (e.g., Bloomberg, Refinitiv) and a strong understanding of machine learning techniques applied to finance are highly desirable. The successful candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A proven track record of successfully deploying quantitative trading strategies in live markets is a must. This role is ideally suited for a self-motivated individual with exceptional analytical and problem-solving skills, who can work independently and as part of a global, remote team. The nominal location is Naivasha, Nakuru, KE , but the position is fully remote. Join our dynamic team and play a pivotal role in shaping the future of quantitative finance.
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