7 Senior Quantitative Analyst Banking Finance Remote jobs in whatjobs
Senior Quantitative Analyst - Banking & Finance - Remote
Posted 20 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst. This is a fully remote position, allowing you to contribute your expertise from any location. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and programming proficiency. You will be responsible for developing and implementing sophisticated quantitative models for risk management, pricing, trading strategies, and portfolio optimization. This role requires a rigorous, data-driven approach to solve complex financial challenges and drive business value.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing derivatives, risk management (market risk, credit risk), and asset allocation.
- Conduct empirical research and statistical analysis of financial markets to identify trading opportunities and inform risk mitigation strategies.
- Build and maintain high-quality code in languages such as Python, R, C++, or MATLAB for model implementation and back-testing.
- Collaborate with traders, portfolio managers, and risk managers to understand business needs and translate them into quantitative solutions.
- Perform stress testing and scenario analysis on existing models to assess their robustness under various market conditions.
- Document model methodologies, assumptions, and limitations clearly and comprehensively.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Mentor junior quantitative analysts and provide technical guidance.
- Ensure compliance with regulatory requirements and internal risk policies.
- Present complex quantitative findings and model recommendations to senior management and stakeholders.
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis within the banking or financial services industry.
- Expertise in statistical modeling, time series analysis, machine learning, and stochastic calculus.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++).
- Strong understanding of financial instruments, markets, and regulatory landscapes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.
- Experience relevant to the **Kericho, Kericho, KE** financial ecosystem is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Banking & Finance - Remote
Posted 18 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and driven Senior Quantitative Analyst to join their remote-based team. This position is pivotal in developing sophisticated financial models and analytical tools to support strategic decision-making within the **Nyeri, Nyeri, KE** region, though the role is fully remote. The ideal candidate will possess a strong background in mathematics, statistics, and financial markets, coupled with advanced programming skills. You will be responsible for designing, implementing, and validating complex quantitative models for areas such as risk management, pricing, trading strategies, and portfolio optimization. This role requires a deep understanding of financial instruments, market dynamics, and regulatory requirements. Key responsibilities include developing predictive models, performing stress testing and scenario analysis, and quantifying financial risks. You will also be involved in the research and development of new quantitative methodologies, staying at the forefront of industry innovation. Collaboration with front-office traders, risk managers, and technology teams is crucial, necessitating excellent communication skills to translate complex technical concepts into actionable insights. Proficiency in languages like Python, R, or C++ is essential, along with experience in database management and data visualization tools. We are looking for an individual who can rigorously test and refine models, ensuring their accuracy and robustness. A strong emphasis on data integrity and model governance will be expected. The successful candidate will contribute significantly to the firm's competitive edge by leveraging data-driven insights to identify opportunities and manage risks effectively. This is an exciting opportunity to work in a challenging and intellectually stimulating environment, contributing to key financial strategies from a remote setting.
Responsibilities:
Responsibilities:
- Develop, implement, and validate quantitative financial models for pricing, risk, and trading.
- Conduct complex data analysis and statistical modeling to derive insights from financial markets.
- Design and execute stress tests and scenario analyses to assess portfolio resilience.
- Quantify and manage various financial risks, including market, credit, and operational risk.
- Research and develop new quantitative methodologies and algorithms.
- Collaborate with traders, portfolio managers, and risk officers to support business initiatives.
- Build and maintain efficient data pipelines and analytical tools.
- Communicate complex quantitative findings to both technical and non-technical audiences.
- Ensure model documentation is thorough, accurate, and compliant with regulatory standards.
- Stay updated on industry trends, regulations, and technological advancements in quantitative finance.
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Advanced programming skills in Python, R, C++, or similar languages.
- Strong knowledge of financial derivatives, fixed income, equities, and risk management techniques.
- Experience with large datasets, databases (SQL), and data manipulation tools.
- Proven ability to develop and validate complex financial models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong verbal and written communication skills.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Banking & Finance - Remote
Posted 18 days ago
Job Viewed
Job Description
Our client, a leading institution within the Banking & Finance sector, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote team. This role is essential for developing and implementing sophisticated mathematical models to support trading strategies, risk management, and financial product pricing. As a Senior Quantitative Analyst, you will delve into complex financial data, identify patterns, and build robust models to forecast market movements, assess risk exposure, and optimize investment portfolios. Your responsibilities will include designing and backtesting trading algorithms, developing pricing models for derivatives and other financial instruments, and performing quantitative risk analysis. You will work closely with traders, portfolio managers, and risk officers to provide data-driven insights and support strategic decision-making. The ideal candidate will possess a strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, or Financial Engineering, coupled with extensive experience in quantitative finance. Proficiency in programming languages like Python, R, C++, or Java, and experience with financial modeling software and databases are crucial. We are looking for a detail-oriented individual with exceptional problem-solving skills and the ability to excel in a demanding, fully remote environment.
Responsibilities:
Responsibilities:
- Develop, implement, and validate quantitative models for trading, risk management, and pricing.
- Design and backtest algorithmic trading strategies.
- Build and refine pricing models for complex financial instruments, including derivatives.
- Conduct quantitative risk analysis, including Value-at-Risk (VaR) and stress testing.
- Analyze large datasets to identify market trends and opportunities.
- Collaborate with trading desks, portfolio managers, and risk teams to provide data-driven insights.
- Monitor model performance and implement necessary adjustments.
- Prepare reports and presentations on model performance and research findings.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- Contribute to the development of internal tools and platforms for quantitative analysis.
- Master's or Ph.D. degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Financial Engineering, Economics).
- A minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and implementing financial models for trading, risk, or pricing.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Proficiency with financial databases (e.g., Bloomberg, Refinitiv) and data analysis tools.
- Excellent understanding of financial markets, derivatives, and risk management principles.
- Exceptional analytical, problem-solving, and mathematical skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage complex projects in a fully remote setting.
- Experience with machine learning techniques in finance is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Banking & Finance (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their innovative and fully remote team. This role is crucial for developing and implementing sophisticated mathematical models to address complex financial challenges, manage risk, and drive business strategy. You will leverage advanced statistical techniques, programming skills, and deep financial market knowledge to create robust analytical solutions. The ideal candidate possesses a strong academic background in a quantitative discipline, extensive experience in financial modeling, and a proven ability to translate complex data into actionable insights.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and validate complex quantitative models for pricing, risk management, and hedging strategies.
- Apply statistical methods, machine learning algorithms, and econometric techniques to financial data.
- Implement models using programming languages such as Python, R, C++, or MATLAB.
- Analyze large datasets to identify trends, patterns, and anomalies relevant to financial markets.
- Collaborate with trading desks, risk management teams, and IT departments to deploy and maintain models.
- Conduct rigorous back-testing and scenario analysis to assess model performance and reliability.
- Stay abreast of the latest advancements in quantitative finance, data science, and machine learning.
- Document models and methodologies clearly and comprehensively for regulatory and internal review.
- Contribute to the development of innovative financial products and strategies.
- Provide analytical support and expertise to various business units.
Qualifications:
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a closely related quantitative field.
- Minimum of 5 years of experience in quantitative analysis within the banking or financial services industry.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Proficiency in at least one major programming language (Python, R, C++, MATLAB) for quantitative analysis.
- Strong understanding of financial markets, derivatives, risk management principles, and regulatory requirements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and collaboratively in a demanding, fully remote environment.
- Experience with big data technologies and platforms is a plus.
- Demonstrated ability to deliver high-quality results under pressure.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Banking & Finance) - Remote
Posted 17 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic risk management and trading strategy team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in developing, implementing, and validating sophisticated quantitative models for pricing complex financial instruments, managing market risk, and optimizing trading strategies. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Financial Engineering) and extensive experience in financial modeling, statistical analysis, and programming. Responsibilities include performing rigorous statistical analysis of market data, building predictive models, conducting backtesting, and developing tools for risk assessment and portfolio optimization. You will collaborate closely with traders, portfolio managers, and risk officers to provide actionable insights and support strategic decision-making. This role requires exceptional analytical, problem-solving, and communication skills, with proficiency in programming languages such as Python, R, or C++. Experience with machine learning techniques and their application in finance is highly desirable. You will stay abreast of industry trends, regulatory changes, and cutting-edge quantitative methodologies, applying them to enhance the firm's analytical capabilities. This remote position offers a significant opportunity to work on challenging problems, contribute to high-impact financial strategies, and advance your career within a globally recognized financial organization. Your expertise will be crucial in driving informed investment decisions and mitigating financial risks.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Banking & Finance (Remote)
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote quantitative research and development team. This role is essential for developing and implementing sophisticated mathematical models to support trading strategies, risk management, and product pricing across various financial markets. The ideal candidate possesses a robust understanding of financial mathematics, advanced statistical modeling techniques, and proficiency in programming languages commonly used in quantitative finance.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate complex quantitative models for derivatives pricing, risk management, portfolio optimization, and algorithmic trading.
- Conduct rigorous statistical analysis on large financial datasets to identify patterns, correlations, and market insights.
- Work closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
- Implement models in production environments using high-performance programming languages.
- Perform backtesting and scenario analysis to assess model performance and robustness.
- Stay current with academic research and industry best practices in quantitative finance and econometrics.
- Contribute to the development of new financial products and strategies.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Ensure compliance with regulatory requirements and internal risk policies.
- Collaborate effectively with cross-functional teams in a remote setting.
- Utilize advanced data visualization techniques to communicate complex findings.
- Identify and implement improvements to existing models and analytical processes.
- Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 6 years of experience in quantitative analysis within the banking, hedge fund, or asset management industry.
- Strong programming skills in languages like Python, C++, R, or Java.
- In-depth knowledge of financial markets, instruments, and derivatives.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques applied to finance.
- Proven ability to develop and implement complex mathematical models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote, deadline-driven environment.
- Familiarity with high-frequency trading systems and market microstructure is a plus.
- Experience with large-scale data processing and database management.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Banking & Finance (Remote)
Posted today
Job Viewed
Job Description
Our client, a leading international financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote global analytics team. This position is at the forefront of financial modeling, risk management, and product development. You will leverage advanced mathematical, statistical, and computational techniques to develop, implement, and maintain complex financial models used for pricing derivatives, managing risk, portfolio optimization, and regulatory compliance. The role requires a deep understanding of financial markets, econometrics, and programming.
Your responsibilities will include building and validating sophisticated models for areas such as credit risk, market risk, and operational risk. You will work closely with traders, portfolio managers, risk officers, and IT professionals to translate business needs into robust quantitative solutions. This role also involves the development of back-testing methodologies, stress testing frameworks, and performance attribution models. The ideal candidate will possess exceptional analytical and problem-solving skills, with a meticulous attention to detail and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in financial databases and analytics platforms, is essential.
We are looking for a highly motivated and intellectually curious professional with a proven ability to manage challenging quantitative projects in a remote setting. A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science, along with a minimum of 5 years of relevant experience in quantitative finance, is required. Experience with machine learning techniques and big data analytics in a financial context is a strong plus. This role is based entirely remotely, supporting our client's sophisticated financial operations and strategic initiatives that connect to **Mombasa, Mombasa, KE**.
Key Responsibilities:
Your responsibilities will include building and validating sophisticated models for areas such as credit risk, market risk, and operational risk. You will work closely with traders, portfolio managers, risk officers, and IT professionals to translate business needs into robust quantitative solutions. This role also involves the development of back-testing methodologies, stress testing frameworks, and performance attribution models. The ideal candidate will possess exceptional analytical and problem-solving skills, with a meticulous attention to detail and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in financial databases and analytics platforms, is essential.
We are looking for a highly motivated and intellectually curious professional with a proven ability to manage challenging quantitative projects in a remote setting. A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science, along with a minimum of 5 years of relevant experience in quantitative finance, is required. Experience with machine learning techniques and big data analytics in a financial context is a strong plus. This role is based entirely remotely, supporting our client's sophisticated financial operations and strategic initiatives that connect to **Mombasa, Mombasa, KE**.
Key Responsibilities:
- Develop, implement, and validate quantitative financial models.
- Conduct risk analysis (market, credit, operational) and develop hedging strategies.
- Price complex financial instruments and derivatives.
- Build and maintain portfolio optimization and asset allocation models.
- Perform back-testing and stress-testing of models.
- Collaborate with business units to identify quantitative needs.
- Communicate complex quantitative findings to stakeholders.
- Contribute to the development of new financial products and strategies.
- Ensure compliance with regulatory requirements and internal policies.
- Master's or Ph.D. in a quantitative discipline (Finance, Math, Stats, Physics, CS).
- Minimum of 5 years of experience in quantitative finance.
- Strong programming skills (Python, R, C++, Java).
- Expertise in financial modeling, risk management, and econometrics.
- Experience with financial databases and analytics software.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage complex remote projects.
This advertiser has chosen not to accept applicants from your region.
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