3 Senior Quantitative Analyst Investment Banking Remote jobs in whatjobs
Senior Quantitative Analyst - Investment Banking (Remote)
Posted 21 days ago
Job Viewed
Job Description
Our client, a leading institution in the financial services sector, is seeking a highly skilled Senior Quantitative Analyst to join their elite Investment Banking division on a fully remote basis. This pivotal role requires a sophisticated understanding of financial markets, advanced mathematical modeling, and sophisticated programming skills to develop and implement complex trading strategies, risk management models, and pricing tools. You will be responsible for designing, testing, and deploying quantitative models that drive profitability and mitigate risk across various asset classes. The ideal candidate possesses a strong academic background in a quantitative discipline, coupled with extensive experience in financial engineering, econometrics, and statistical analysis. Your responsibilities will include analyzing market data, identifying trading opportunities, and developing algorithms for automated trading systems. You will collaborate closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic decision-making. This is a demanding, fully remote position, requiring exceptional analytical rigor, problem-solving abilities, and the capacity to work autonomously with meticulous attention to detail. Excellent communication skills are essential to articulate complex quantitative concepts to both technical and non-technical audiences. While the role is remote, individuals with familiarity or professional connections within the financial hub of Bungoma, Bungoma, KE may find their local context provides valuable market intuition. You will be at the forefront of quantitative finance, driving innovation and delivering superior financial solutions. Experience with machine learning, high-frequency trading, and derivative pricing is highly valued. This is an exceptional opportunity to apply your quantitative expertise in a challenging and rewarding remote environment, significantly impacting investment banking operations.
Key Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst - Investment Banking (Remote)
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious international investment bank, is seeking a highly accomplished Senior Quantitative Analyst to join their elite team. This is a fully remote position, offering the opportunity to contribute to cutting-edge financial modeling and analysis from your home office. You will be responsible for developing, implementing, and maintaining sophisticated quantitative models for pricing derivatives, managing risk, and optimizing trading strategies across various asset classes. The ideal candidate possesses a strong background in mathematics, statistics, computer science, and finance, coupled with extensive experience in financial markets. Your duties will include designing complex algorithms, performing rigorous back-testing and validation, and ensuring the accuracy and robustness of financial models. You will collaborate closely with traders, portfolio managers, and risk managers, providing them with critical quantitative insights and tools to inform their decision-making. This role demands exceptional analytical and problem-solving skills, proficiency in programming languages such as Python, C++, or R, and a deep understanding of financial instruments and market dynamics. The ability to work independently, manage multiple complex projects, and communicate technical concepts clearly to both quantitative and non-quantitative colleagues is essential. This is a challenging and rewarding opportunity to work at the forefront of financial innovation within a flexible, remote working environment. We are looking for a highly motivated and detail-oriented individual who can contribute significantly to the firm's success through sophisticated quantitative analysis and modeling. Your expertise will be crucial in navigating the complexities of global financial markets and driving profitable trading outcomes. The role requires a proactive approach to research and development, staying abreast of the latest quantitative techniques and their potential applications in finance.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain complex quantitative models for derivative pricing, risk management, and trading strategies.
- Perform rigorous mathematical and statistical analysis of financial data.
- Design and implement algorithms for financial modeling and simulations.
- Conduct back-testing, validation, and calibration of quantitative models.
- Collaborate with traders, portfolio managers, and risk managers to provide quantitative support and insights.
- Identify and implement improvements to existing models and methodologies.
- Stay current with the latest advancements in quantitative finance, machine learning, and data science.
- Communicate complex technical concepts clearly to diverse audiences.
- Contribute to the firm's quantitative research and development efforts.
- Ensure compliance with regulatory requirements and internal risk policies.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- 5+ years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Expertise in financial modeling, derivative pricing, and risk management.
- Strong programming skills in Python, C++, Java, or R.
- Proficiency in statistical analysis and machine learning techniques.
- Deep understanding of financial markets, instruments, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Demonstrated ability to work independently and manage complex projects in a remote setting.
- Experience with large datasets and database management is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Investment Banking (Remote)
Posted 12 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking an exceptional Senior Quantitative Analyst to join their elite, fully remote financial markets division. This role is at the forefront of developing and implementing sophisticated mathematical models for trading strategies, risk management, and pricing derivatives. You will leverage advanced statistical techniques, programming skills, and a deep understanding of financial markets to solve complex problems and drive innovation. The ideal candidate will possess a PhD or Master's in a quantitative field, exceptional programming capabilities, and a proven history of delivering high-impact quantitative solutions in a demanding financial environment.
Responsibilities:
Responsibilities:
- Design, develop, and implement quantitative models for pricing complex financial instruments, including equities, fixed income, and derivatives.
- Develop and refine algorithms for algorithmic trading strategies and execution.
- Build and maintain risk management models, including VaR, CVA, and stress testing frameworks.
- Perform statistical analysis of large datasets to identify market patterns and opportunities.
- Collaborate closely with traders, portfolio managers, and technologists to translate business requirements into quantitative solutions.
- Optimize and backtest trading algorithms and risk models.
- Conduct research into new quantitative methodologies and financial products.
- Ensure the accuracy, robustness, and scalability of all developed models.
- Prepare technical documentation and present findings to senior management and stakeholders.
- Stay abreast of regulatory changes and their impact on quantitative modeling and risk management.
- Ph.D. or Master's degree in a highly quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 7 years of relevant experience in quantitative finance, preferably within investment banking or hedge funds.
- Expert proficiency in programming languages such as Python, C++, R, or Java.
- Strong understanding of stochastic calculus, probability theory, statistical modeling, and time series analysis.
- Experience with financial derivatives, fixed income, and trading strategies.
- Knowledge of machine learning techniques applied to finance is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and interpersonal skills, with the ability to explain complex quantitative concepts to a non-technical audience.
- Proven ability to work independently and deliver high-quality results in a challenging, fast-paced, remote environment.
- Experience with large-scale data analysis and high-performance computing is beneficial.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Senior quantitative analyst investment banking remote Jobs in Kenya !
2