727 Remote Senior Quantitative Analyst Investment Banking jobs in Kenya
Remote Quantitative Analyst - Investment Banking
Posted 1 day ago
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Job Description
Responsibilities:
- Develop, implement, and backtest quantitative models for financial markets.
- Design and build algorithms for trading, risk management, and portfolio optimization.
- Analyze large datasets to identify market trends and opportunities.
- Collaborate with trading desks and risk management teams to support decision-making.
- Ensure the accuracy, robustness, and efficiency of quantitative models.
- Stay current with advancements in quantitative finance, mathematics, and statistics.
- Communicate complex quantitative concepts clearly to stakeholders.
- Contribute to the development of proprietary trading strategies.
- Maintain and enhance existing quantitative models and systems.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- 5+ years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Experience with large-scale data analysis and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage complex projects in a remote environment.
- Experience with high-frequency trading or algorithmic trading is a plus.
This is a prime opportunity for a highly skilled quant to excel in a remote, high-impact role.
Remote Lead Quantitative Analyst, Investment Banking
Posted 19 days ago
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Job Description
Senior Quantitative Analyst - Remote Investment Banking
Posted 19 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, hedging, and risk management of various financial derivatives and instruments.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and reliability.
- Collaborate with traders, risk managers, and front-office teams to understand their needs and translate them into quantitative solutions.
- Design and build tools for data analysis, model validation, and performance monitoring within a remote environment.
- Stay current with the latest advancements in financial engineering, econometrics, and quantitative finance.
- Contribute to the development of new trading strategies and investment products by providing quantitative insights.
- Communicate complex quantitative concepts and model results clearly to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal risk policies in all modeling activities.
- Participate in code reviews and contribute to the improvement of the team's software infrastructure.
- Provide mentorship and technical guidance to junior quantitative analysts.
- Perform ad-hoc quantitative research and analysis as required by senior management.
- Master's degree or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, preferably within investment banking or asset management.
- Strong knowledge of financial markets, derivatives, and fixed income products.
- Proficiency in programming languages such as Python, C++, R, or Java, with a focus on numerical computation and data analysis libraries.
- Expertise in statistical modeling, time series analysis, stochastic calculus, and machine learning techniques.
- Excellent problem-solving and analytical skills.
- Strong communication skills, enabling effective remote collaboration and presentation of findings.
- Ability to work independently and manage multiple projects simultaneously in a remote setting.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Experience with high-performance computing and parallel processing is advantageous.
Remote Senior Quantitative Analyst - Investment Banking
Posted 12 days ago
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Job Description
Responsibilities:
- Develop, implement, and backtest quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market patterns, trends, and trading opportunities.
- Design and implement risk management frameworks and methodologies.
- Collaborate with traders and portfolio managers to understand their needs and provide quantitative solutions.
- Build and maintain high-quality code for quantitative models and analytics tools.
- Perform statistical analysis and econometric modeling.
- Research and evaluate new quantitative techniques and technologies.
- Ensure compliance with regulatory requirements and internal risk policies.
- Prepare detailed reports and presentations on model performance and risk exposures.
- Contribute to the development of new financial products and derivatives.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Automate reporting processes and improve data quality.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- 5+ years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong programming skills in Python, C++, R, or similar languages.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives pricing, and risk management.
- Experience with large-scale data manipulation and analysis.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and manage complex projects in a remote setting.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Proven ability to work under pressure and meet tight deadlines.
- Experience with cloud computing platforms (AWS, Azure, GCP) for financial modeling is beneficial.
Lead Quantitative Analyst - Investment Banking (Remote)
Posted 6 days ago
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Job Description
Key Responsibilities:
- Develop, test, and implement sophisticated quantitative models for pricing derivatives, fixed income securities, and other financial instruments.
- Design and build algorithms for market risk management, including VaR calculations, stress testing, and scenario analysis.
- Conduct empirical research to identify market inefficiencies and potential trading opportunities.
- Develop and optimize trading strategies based on quantitative insights and back-testing.
- Collaborate with front-office trading desks to provide real-time quantitative support and product development.
- Work with risk management and compliance teams to ensure models meet regulatory requirements and internal standards.
- Perform rigorous validation of existing and new models, assessing their accuracy and limitations.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
- Stay abreast of the latest developments in quantitative finance, econometrics, and machine learning.
- Mentor and guide junior quantitative analysts, fostering technical expertise and best practices.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Contribute to the strategic direction of the quantitative research group.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis, ideally within investment banking or asset management.
- Proven expertise in financial modeling, stochastic calculus, time series analysis, and statistical inference.
- Strong programming skills in Python, C++, or R, with experience in developing and deploying complex models.
- In-depth knowledge of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills.
- Ability to work independently and as part of a highly skilled remote team.
- Demonstrated ability to manage multiple projects and meet tight deadlines.
Senior Quantitative Analyst - Investment Banking (Remote)
Posted 21 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets of market and economic data to identify patterns and trading opportunities.
- Design and backtest algorithmic trading strategies across various asset classes (equities, fixed income, derivatives).
- Build and maintain sophisticated financial models using programming languages such as Python, C++, or R.
- Collaborate with traders, portfolio managers, and risk managers to support investment decisions.
- Conduct scenario analysis and stress testing to assess model robustness and market risk.
- Develop tools and dashboards for real-time monitoring of market activity and risk exposures.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Document methodologies, model assumptions, and validation results thoroughly.
- Contribute to the firm's intellectual property through innovation in quantitative finance.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Minimum of 7 years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Advanced programming skills in Python, C++, or R, with a strong emphasis on performance optimization.
- Deep understanding of financial markets, derivative products, and risk management principles.
- Experience with machine learning techniques and their application in finance.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and manage multiple complex projects in a remote setting.
Senior Remote Quantitative Analyst (Banking & Finance)
Posted 20 days ago
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Remote Senior Quantitative Analyst - Banking & Finance
Posted 21 days ago
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Job Description
Responsibilities:
- Develop, test, and implement sophisticated quantitative models for financial markets.
- Design and build models for asset pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, patterns, and opportunities.
- Perform rigorous model validation and back-testing to ensure accuracy and reliability.
- Collaborate with business stakeholders to understand their needs and provide quantitative solutions.
- Communicate complex quantitative findings and recommendations clearly to non-technical audiences.
- Stay current with advancements in quantitative finance, econometrics, and machine learning.
- Contribute to the development of trading algorithms and execution strategies.
- Ensure compliance with regulatory requirements related to financial modeling.
- Mentor and guide junior quantitative analysts.
- Document methodologies, assumptions, and results thoroughly.
- Research and evaluate new data sources and analytical techniques.
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5-7 years of experience in quantitative analysis within the banking and finance sector.
- Expertise in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Strong written and verbal communication skills.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
Senior Investment Banking Analyst - Corporate Finance
Posted 14 days ago
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Location: Kericho, Kericho, KE
Senior Investment Banker - Financial Advisory
Posted 15 days ago
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Job Description
Responsibilities:
- Lead client engagements, managing all aspects of M&A transactions, capital raising activities, and strategic advisory projects.
- Develop sophisticated financial models, valuation analyses, and market assessments to support transaction execution.
- Structure and negotiate complex financial agreements, including purchase agreements, merger agreements, and financing documents.
- Manage client relationships, serving as the primary point of contact and trusted advisor throughout the transaction process.
- Identify and originate new business opportunities, leveraging existing networks and market intelligence.
- Prepare comprehensive client presentations, pitch books, and deal marketing materials.
- Oversee due diligence processes, coordinating with legal counsel, accountants, and other advisors.
- Mentor and guide junior bankers and analysts within the remote team.
- Stay abreast of market trends, regulatory changes, and economic developments impacting the financial services industry.
- Ensure the highest standards of professionalism, ethics, and client service.
- Effectively manage project timelines and deliverables in a remote setting.
- Contribute to the firm's strategic growth and business development initiatives.
- Communicate complex financial concepts clearly to diverse stakeholders.
- MBA or Master's degree in Finance, Economics, or a related field from a top-tier institution.
- Minimum of 10 years of progressive experience in investment banking, corporate finance, or M&A advisory.
- Proven track record of successfully originating and executing a variety of financial transactions.
- Expertise in financial modeling, valuation techniques, and deal structuring.
- Strong understanding of capital markets, corporate finance principles, and regulatory frameworks.
- Excellent leadership, negotiation, and interpersonal skills.
- Exceptional communication and presentation abilities.
- Demonstrated ability to manage multiple complex projects simultaneously and lead remote teams effectively.
- Strong network of contacts within relevant industries and financial communities is a significant advantage.
- This role is fully remote and has a connection to the Mlolongo, Machakos, KE area, but requires no physical presence there.