326 Senior Remote Quantitative Analyst jobs in Nairobi
Senior Remote Quantitative Analyst
Posted 22 days ago
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Job Description
Our client, a leading financial institution with a global presence, is actively seeking a highly analytical and mathematically adept Senior Remote Quantitative Analyst to join our fully remote financial modeling and analytics team. This crucial role will involve developing, implementing, and validating complex quantitative models used for risk management, trading strategies, pricing derivatives, and portfolio optimization. The ideal candidate will possess a robust understanding of financial markets, advanced statistics, stochastic calculus, and programming skills. Proficiency in languages such as Python, R, C++, or similar, along with experience in database management and data visualization tools, is essential. You will collaborate closely with portfolio managers, traders, risk officers, and IT professionals across various time zones, translating complex data into actionable financial insights. This fully remote position offers an exceptional opportunity to work from anywhere, contributing to critical financial decision-making processes and shaping innovative financial products. We are looking for a detail-oriented, problem-solving professional with a strong quantitative background, exceptional analytical capabilities, and excellent communication skills, who thrives in a collaborative remote environment. Your ability to rigorously test and refine models, ensuring their accuracy and reliability, will be paramount.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk management, and trading.
- Conduct statistical analysis of financial data to identify market trends and opportunities.
- Back-test and validate trading strategies and risk models.
- Build and maintain databases of financial market data.
- Create visualizations and reports to communicate complex quantitative findings to stakeholders.
- Collaborate with trading desks, portfolio managers, and risk departments.
- Ensure models comply with regulatory requirements and internal policies.
- Research and implement new quantitative techniques and methodologies.
- Automate reporting processes and data analysis tasks.
- Stay updated on financial market developments and quantitative finance research.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 7 years of experience in quantitative finance or a related analytical role.
- Expertise in programming languages such as Python, R, C++, or Java.
- Strong understanding of financial derivatives, risk management, and portfolio theory.
- Proficiency in statistical modeling, econometrics, and machine learning techniques.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to manage complex projects and deliver results independently in a remote setting.
- Experience with SQL and NoSQL databases.
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Principal Quantitative Analyst - Remote
Posted 5 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Principal Quantitative Analyst to join their cutting-edge trading and risk management division. This is a fully remote position, offering a unique opportunity to apply advanced mathematical and statistical modeling techniques to complex financial markets. You will be responsible for developing, implementing, and validating sophisticated quantitative models for pricing, risk assessment, and trading strategies. This role demands a deep understanding of financial instruments, market dynamics, and programming expertise. The ideal candidate will have a strong academic background in a quantitative field and a proven track record of innovation in financial modeling. You will collaborate with traders, portfolio managers, and technologists to develop and deploy quantitative solutions that drive profitable trading and effective risk mitigation. Key responsibilities include performing rigorous backtesting, scenario analysis, and performance attribution. You will also be involved in researching new methodologies and contributing to the firm's intellectual capital. This role requires exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. As a remote role, you must be highly self-motivated and adept at utilizing collaborative tools to work effectively within a distributed team. The core focus for this role pertains to the market in **Mombasa, Mombasa, KE**, yet it is a fully remote opportunity.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing and risk management.
- Design and execute rigorous backtesting and validation of trading algorithms and strategies.
- Analyze market data to identify trends, opportunities, and potential risks.
- Collaborate with portfolio managers and traders to develop and enhance investment strategies.
- Perform scenario analysis and stress testing to assess model robustness.
- Contribute to the development of new financial products and derivatives.
- Communicate complex quantitative concepts and results to various stakeholders.
- Stay abreast of the latest advancements in quantitative finance and machine learning.
- Ensure compliance with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 8 years of experience in quantitative finance, preferably in investment banking or hedge funds.
- Deep understanding of financial markets, derivatives, and fixed income products.
- Expertise in programming languages such as Python, C++, or R.
- Proficiency in statistical modeling, machine learning, and data analysis techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and presentation skills, with the ability to explain complex concepts.
- Proven ability to work independently and lead quantitative projects.
- Experience with large datasets and high-frequency trading systems is a plus.
- Demonstrated ability to innovate and develop novel quantitative approaches.
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Lead Quantitative Analyst (Remote)
Posted 7 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Lead Quantitative Analyst to join our innovative, fully remote trading and risk management division. This senior role is pivotal in developing and implementing sophisticated mathematical models and algorithms that drive our investment strategies and manage financial risk. You will be responsible for designing, testing, and deploying complex quantitative models for pricing derivatives, assessing portfolio risk, and optimizing trading strategies. Your expertise will be crucial in analyzing market data, identifying trading opportunities, and providing insights to portfolio managers and senior management. The ideal candidate will possess a strong academic background in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, coupled with significant practical experience in financial modeling. You must be proficient in programming languages commonly used in quantitative finance, such as Python, C++, or R, and have hands-on experience with financial libraries and databases. Key responsibilities include leading a team of quantitative analysts, mentoring junior team members, and collaborating with traders and risk managers to translate complex financial problems into quantitative solutions. You will also stay abreast of the latest developments in financial markets and quantitative techniques, ensuring our strategies remain competitive and compliant with regulatory requirements. Experience with high-frequency trading, algorithmic trading, or machine learning in finance is a significant plus. This is an exceptional opportunity to contribute to high-impact financial decisions from a remote location, influencing strategies that affect our global operations and our significant presence in Mombasa, Mombasa, KE .
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Senior Quantitative Analyst - Remote Financial Modeling
Posted 8 days ago
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Job Description
Our client, a prominent player in the banking and finance sector, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This role is essential for developing and implementing sophisticated quantitative models used in trading, risk management, and financial product development. As a remote professional, you will leverage advanced statistical, mathematical, and programming techniques to solve complex financial problems and provide strategic insights to key stakeholders. Your responsibilities will include designing, testing, and validating pricing and risk models, conducting backtesting and scenario analysis, and contributing to the development of new financial instruments. You will work closely with traders, portfolio managers, and risk officers to ensure models accurately reflect market dynamics and regulatory requirements. The ideal candidate will possess a strong academic background in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, along with extensive experience in financial modeling. Proficiency in programming languages like Python, R, C++, or Java, and experience with financial libraries and databases are crucial. Exceptional analytical and problem-solving skills, coupled with the ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences in a virtual environment, are paramount. This role demands a proactive, detail-oriented individual who can manage multiple projects independently and collaborate effectively within a distributed team. This is a unique opportunity to contribute to cutting-edge financial innovation while enjoying the flexibility of a remote work setup, regardless of your physical location. Although our influence is felt in Mombasa, Mombasa, KE , this position is entirely remote, offering a significant career advancement opportunity. If you are a highly analytical thinker with a proven track record in quantitative finance, this remote role is an excellent choice.
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Senior Quantitative Analyst (Remote)
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their innovative, fully remote finance team. This role involves developing and implementing complex mathematical models and statistical techniques to analyze financial markets, manage risk, and optimize investment strategies. The ideal candidate will possess a strong background in quantitative finance, econometrics, programming, and data analysis. You will be responsible for researching, designing, and validating quantitative models, performing back-testing, and contributing to the development of trading algorithms and risk management systems. This position requires exceptional analytical rigor, problem-solving abilities, and the capacity to work independently in a distributed team environment.
Key responsibilities:
Required qualifications include a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5-7 years of experience in a quantitative finance role. Deep understanding of financial markets, instruments, and derivatives. Proven expertise in programming languages like Python, R, C++, or similar. Strong knowledge of statistical software and machine learning libraries. Excellent analytical, problem-solving, and research skills. Ability to work autonomously and manage complex projects in a fully remote setting. Experience with large-scale data manipulation and cloud computing platforms is a plus. While the role is remote, familiarity with the financial sector in **Mombasa, Mombasa, KE** could be beneficial, but the position is location-agnostic.
Key responsibilities:
- Develop, implement, and test sophisticated quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market patterns, correlations, and trading opportunities.
- Perform statistical analysis, econometrics, and machine learning techniques to derive insights.
- Conduct rigorous back-testing and validation of models to ensure their accuracy and effectiveness.
- Collaborate with portfolio managers and traders to implement and refine quantitative strategies.
- Develop and maintain efficient code for data processing, model execution, and reporting.
- Monitor model performance and identify potential issues, implementing necessary adjustments.
- Stay current with the latest research and advancements in quantitative finance and computational finance.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Contribute to the enhancement of the firm's quantitative infrastructure and methodologies.
Required qualifications include a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5-7 years of experience in a quantitative finance role. Deep understanding of financial markets, instruments, and derivatives. Proven expertise in programming languages like Python, R, C++, or similar. Strong knowledge of statistical software and machine learning libraries. Excellent analytical, problem-solving, and research skills. Ability to work autonomously and manage complex projects in a fully remote setting. Experience with large-scale data manipulation and cloud computing platforms is a plus. While the role is remote, familiarity with the financial sector in **Mombasa, Mombasa, KE** could be beneficial, but the position is location-agnostic.
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4
Senior Quantitative Analyst - FinTech (Remote)
Posted 22 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Quantitative Analyst to join their rapidly growing FinTech division. This is a fully remote position, offering the opportunity to apply advanced mathematical and statistical modeling techniques to financial markets from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models for trading strategies, risk management, pricing, and portfolio optimization. Your work will involve analyzing large datasets, conducting rigorous statistical analysis, and collaborating closely with traders, portfolio managers, and technology teams to translate complex financial concepts into actionable insights and robust trading algorithms. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Economics), coupled with significant experience in quantitative finance. Proficiency in programming languages such as Python, R, C++, or Java, and experience with financial databases and libraries are essential. You must have excellent analytical, problem-solving, and research skills, with a proven ability to develop and deploy quantitative models in a high-frequency trading or complex financial environment. Strong communication skills are required to articulate complex methodologies and results to both technical and non-technical audiences in a remote setting. This role demands a proactive, curious, and detail-oriented individual who can thrive in a fast-paced, intellectually stimulating environment. You will play a crucial role in driving innovation and enhancing the firm's competitive edge through data-driven strategies. The ability to work independently, manage multiple research projects, and contribute effectively to a distributed team is vital. This is an exceptional opportunity to leverage your quantitative expertise in the dynamic world of FinTech. The role is based in the broader **Mombasa, Mombasa, KE** region, but is entirely remote.
Responsibilities:
Responsibilities:
- Develop, implement, and test quantitative models for trading, risk management, and portfolio optimization.
- Analyze large financial datasets to identify patterns, trends, and investment opportunities.
- Conduct statistical analysis and back-testing of trading strategies.
- Collaborate with trading desks and portfolio managers to refine model parameters and strategies.
- Ensure the accuracy, efficiency, and robustness of quantitative models.
- Stay current with academic research and industry trends in quantitative finance.
- Develop and maintain high-quality code in relevant programming languages.
- Communicate complex analytical findings to technical and non-technical stakeholders.
- Contribute to the development of the firm's quantitative infrastructure.
- Master's or Ph.D. in a quantitative discipline (Mathematics, Statistics, Physics, Economics, Computer Science).
- Minimum of 5 years of experience in quantitative analysis within the financial industry.
- Strong programming skills in Python, R, C++, or Java.
- Expertise in statistical modeling, machine learning, and data analysis techniques.
- Proven experience with financial markets, derivatives, and risk management.
- Excellent analytical, problem-solving, and research capabilities.
- Strong communication and interpersonal skills for effective remote collaboration.
- Ability to work independently and manage multiple projects in a demanding environment.
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5
Senior Quantitative Risk Analyst (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and analytical Senior Quantitative Risk Analyst to join their expanding remote team within the Banking & Finance sector. This role is instrumental in developing, implementing, and validating complex quantitative models used for risk management, including credit risk, market risk, and operational risk. You will be responsible for analyzing large datasets, building sophisticated statistical and econometric models, and assessing the potential impact of various risk scenarios on the company's financial health. The ideal candidate will possess a strong background in quantitative finance, econometrics, and statistical modeling, coupled with a deep understanding of financial markets and banking regulations. You will play a crucial role in enhancing the firm's risk management framework, identifying emerging risks, and contributing to strategic decision-making. This position is **fully remote**, offering the flexibility to work from anywhere while collaborating with a global team of finance and risk professionals. Although the operational center is associated with **Malindi, Kilifi, KE**, your work will be conducted remotely. Proficiency in programming languages such as Python or R, and experience with data analysis and modeling tools like SAS or MATLAB, are essential. You will communicate complex findings to both technical and non-technical audiences, including senior management and regulatory bodies. A proactive approach to identifying and addressing potential modeling deficiencies and regulatory changes is expected. This role demands exceptional problem-solving skills, a rigorous analytical approach, and a commitment to maintaining the highest standards of risk management and data integrity. Join us to leverage your quantitative expertise in a challenging and rewarding remote environment.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for credit risk, market risk, and operational risk.
- Analyze large financial datasets to identify patterns, trends, and potential risk exposures.
- Conduct stress testing and scenario analysis to assess the impact of adverse market conditions.
- Contribute to the development and enhancement of the firm's risk management framework.
- Interpret model outputs and communicate findings effectively to stakeholders at all levels.
- Stay abreast of regulatory requirements and industry best practices in quantitative risk management.
- Collaborate with IT and business units to ensure data quality and model implementation accuracy.
- Research and implement new quantitative methodologies and techniques.
- Prepare reports and documentation for internal review and regulatory submissions.
- Mentor junior quantitative analysts and contribute to team development.
- Master's or Ph.D. in Quantitative Finance, Statistics, Economics, Mathematics, or a related field.
- Minimum of 5 years of experience in quantitative risk management within the banking or financial services industry.
- Strong expertise in statistical modeling, econometrics, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Experience with data manipulation and analysis tools (e.g., SQL, SAS).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Familiarity with Basel III/IV, IFRS 9, or other relevant regulatory frameworks.
- Demonstrated ability to work independently and collaboratively in a remote team setting.
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6
Remote Senior Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and innovative Senior Quantitative Analyst to join their fully remote algorithmic trading team. This critical role involves developing, testing, and implementing sophisticated quantitative models and trading strategies for global financial markets. The ideal candidate will possess a deep understanding of financial instruments, statistical modeling, machine learning, and programming. This is a remote-first position, requiring exceptional intellectual curiosity, strong problem-solving skills, and the ability to work independently and collaboratively in a fast-paced, results-driven environment.
Responsibilities:
Responsibilities:
- Design, develop, and backtest quantitative trading strategies across various asset classes (e.g., equities, futures, FX, options).
- Build and maintain statistical models and machine learning algorithms for price prediction, risk management, and signal generation.
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Collaborate with portfolio managers and traders to implement and refine trading strategies.
- Optimize trading algorithms for execution efficiency and low latency.
- Monitor the performance of live trading strategies and make necessary adjustments.
- Conduct research into new quantitative techniques and financial market behaviors.
- Develop tools and infrastructure to support the quantitative research and trading process.
- Ensure the robustness and accuracy of quantitative models through rigorous testing and validation.
- Stay current with academic research and industry trends in quantitative finance and machine learning.
- Document research findings, model methodologies, and strategy performance.
- Contribute to the development of risk management frameworks for algorithmic trading.
- Present research findings and strategy proposals to senior management and trading desks.
- Ensure compliance with all relevant financial regulations and internal policies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 5 years of experience in quantitative finance, algorithmic trading, or a closely related role.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Strong expertise in statistical modeling, time-series analysis, and machine learning techniques.
- Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn), C++, or R.
- Deep understanding of financial markets, instruments, and trading mechanics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage multiple research projects in a remote setting.
- Experience with high-frequency trading (HFT) infrastructure and low-latency programming is a plus.
- Knowledge of database management and big data technologies.
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7
Remote Senior Quantitative Analyst
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and skilled Remote Senior Quantitative Analyst to join their innovative finance team. This role offers a flexible work arrangement, allowing for both remote and in-office collaboration, with a focus on leveraging advanced mathematical and statistical methods to solve complex financial problems. You will be responsible for developing sophisticated financial models, conducting in-depth data analysis, and providing strategic insights to support investment decisions, risk management, and product development. The ideal candidate will possess a strong academic background in a quantitative field, combined with extensive experience in financial markets and the application of statistical techniques. Key responsibilities include designing and implementing quantitative models for pricing, trading, and risk assessment; analyzing large datasets to identify market trends and patterns; developing algorithms for financial strategies; and communicating complex findings clearly and concisely to both technical and non-technical stakeholders. Experience with programming languages such as Python, R, or C++, as well as statistical software and databases, is essential. We are looking for an individual with exceptional problem-solving skills, a meticulous attention to detail, and the ability to work both independently and collaboratively within a team environment. A deep understanding of financial instruments, market microstructure, and regulatory requirements is highly advantageous. This is an exciting opportunity to apply your advanced quantitative skills to critical financial challenges and contribute to the strategic direction of our client. Your insights will play a vital role in shaping investment strategies, mitigating risk, and driving financial innovation. Continuous learning and adaptation to the rapidly evolving landscape of quantitative finance are crucial. We seek individuals passionate about financial markets and committed to delivering rigorous, data-driven solutions.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative financial models.
- Conduct statistical analysis of financial market data.
- Design and backtest trading strategies and algorithms.
- Perform risk analysis and stress testing.
- Price complex financial derivatives and instruments.
- Collaborate with portfolio managers, traders, and risk managers.
- Communicate quantitative findings and recommendations effectively.
- Stay abreast of regulatory changes and market developments.
- Maintain and improve existing quantitative models.
- Master's or PhD in Mathematics, Statistics, Economics, Physics, Computer Science, or a related quantitative field.
- Significant experience as a Quantitative Analyst or in a similar role within the financial industry.
- Proficiency in programming languages such as Python, R, or C++.
- Strong knowledge of statistical modeling, econometrics, and machine learning techniques.
- Experience with financial markets and instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work effectively in a hybrid or remote team environment.
- Experience with financial databases and data visualization tools.
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8
Senior Quantitative Analyst, Algorithmic Trading - Remote
Posted 16 days ago
Job Viewed
Job Description
Our client, a cutting-edge financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their elite, fully remote algorithmic trading team. This critical role involves the research, development, and implementation of sophisticated quantitative models and trading strategies across various financial markets. You will leverage your expertise in mathematics, statistics, computer science, and finance to design, backtest, and deploy profitable trading algorithms. The ideal candidate will possess a deep understanding of market microstructure, statistical modeling, machine learning techniques, and financial econometrics. Your responsibilities will include identifying trading opportunities, developing predictive models, optimizing execution strategies, and managing the risk associated with algorithmic trading. Collaboration with traders, developers, and other quantitative analysts is essential, requiring excellent communication skills to articulate complex ideas effectively. As a remote professional, you will demonstrate exceptional self-discipline, analytical rigor, and the ability to thrive in a high-pressure, results-driven environment. This is an unparalleled opportunity to contribute to a leading trading firm from your home office, impacting strategies for transactions related to the vibrant financial sector in **Mombasa, Mombasa, KE**, and globally. You will be expected to possess a strong programming proficiency in languages such as Python, C++, or R, and experience with large datasets and high-frequency trading systems. A passion for innovation and a relentless pursuit of quantitative insights are crucial for success in this demanding role. The ability to work independently, manage multiple projects, and deliver high-quality results under tight deadlines is paramount. We are looking for a true thought leader in quantitative finance who can push the boundaries of algorithmic trading.
Responsibilities:
Responsibilities:
- Research, design, and develop quantitative trading strategies and algorithms.
- Build and validate statistical and machine learning models for financial markets.
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Optimize trading execution and risk management protocols.
- Collaborate with traders and developers to implement and deploy strategies.
- Conduct rigorous backtesting and performance analysis of algorithms.
- Stay abreast of academic research and industry trends in quantitative finance.
- Contribute to the development of the firm's trading infrastructure.
- Communicate complex quantitative concepts to stakeholders.
- 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 analysis, algorithmic trading, or a related financial engineering role.
- Proven track record of developing and implementing successful trading strategies.
- Strong programming skills in Python, C++, R, or similar languages.
- Deep understanding of financial markets, derivatives, and econometrics.
- Expertise in statistical modeling, machine learning, and data analysis.
- Excellent problem-solving and analytical abilities.
- Ability to work independently and effectively in a remote environment.
- Strong communication and collaboration skills.
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