32 Remote Senior Quantitative Analyst Financial Modeling jobs in whatjobs
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their prestigious, fully remote financial services team. This role is critical for developing, implementing, and validating complex mathematical models for pricing, risk management, and trading strategies across various asset classes. You will leverage your expertise in statistics, econometrics, and programming to derive actionable insights and drive informed decision-making within the financial markets. This is an exceptional opportunity for a quantitative finance expert to contribute significantly to trading performance and risk mitigation, all while working remotely.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, backtest, and implement sophisticated quantitative models for pricing derivatives, assessing risk, and optimizing trading strategies.
- Analyze large datasets to identify market trends, correlations, and opportunities.
- Collaborate closely with traders, portfolio managers, and risk managers in a remote setting to understand their needs and develop tailored solutions.
- Ensure the accuracy, robustness, and regulatory compliance of all developed models.
- Perform rigorous validation of models, including sensitivity analysis and stress testing.
- Develop and maintain high-quality code in languages such as Python, R, C++, or similar.
- Contribute to the firm's research efforts and stay current with advancements in quantitative finance and financial engineering.
- Prepare detailed documentation of models, methodologies, and results for both technical and non-technical audiences.
- Monitor the performance of implemented models and propose necessary adjustments or enhancements.
- Communicate complex quantitative concepts clearly and concisely to stakeholders.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
Qualifications:
- Master's degree 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 analysis within the financial industry, with a focus on modeling.
- Proven expertise in developing and implementing models for pricing, risk management, or algorithmic trading.
- Strong programming skills in Python, R, C++, or Java, with experience in relevant scientific libraries.
- Deep understanding of financial markets, asset classes (equities, fixed income, derivatives), and trading strategies.
- Excellent analytical, statistical, and problem-solving skills.
- Exceptional communication and interpersonal skills, with the ability to articulate complex quantitative concepts effectively in a remote environment.
- Experience with large-scale data analysis and database technologies.
- Familiarity with regulatory requirements in the financial sector (e.g., Basel Accords) is a plus.
- Ability to work independently and collaboratively in a fast-paced, fully remote setting.
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote team, focusing on advanced financial modeling. This role is pivotal in developing and implementing sophisticated quantitative models to support investment strategies, risk management, and financial product development. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive experience in financial markets, statistical modeling, and programming. You will be responsible for designing, building, testing, and deploying complex models for areas such as pricing derivatives, risk assessment, portfolio optimization, and algorithmic trading. Key responsibilities include conducting in-depth statistical analysis of market data, developing predictive models, performing backtesting and validation, and contributing to the firm's quantitative research efforts. The ability to work independently, manage intricate modeling projects remotely, and communicate complex quantitative concepts clearly to both technical and non-technical audiences, including senior management and traders, is paramount. This is an exceptional opportunity for a skilled quant professional to drive innovation in financial analytics from a remote setting, impacting key decision-making processes. We are looking for a creative and rigorous thinker with exceptional programming skills (e.g., Python, C++, R) and a deep understanding of financial instruments and market dynamics. Your contributions will be instrumental in shaping the firm's quantitative strategies and enhancing its competitive edge in the financial industry.
Responsibilities:
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for financial markets.
- Design and build models for derivative pricing, risk management, and portfolio optimization.
- Conduct statistical analysis of large datasets and market data.
- Develop algorithms for trading strategies and execute backtesting.
- Perform financial risk assessments and stress testing.
- Collaborate with portfolio managers and traders to understand their quantitative needs.
- Contribute to quantitative research and innovation within the firm.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Stay current with advancements in quantitative finance and computational methods.
- Prepare reports and presentations on model performance and research findings.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative finance, financial modeling, or a related role.
- Proven expertise in statistical modeling, econometrics, and machine learning techniques.
- Strong programming skills in Python, C++, R, or similar languages.
- In-depth knowledge of financial instruments, markets, and trading strategies.
- Experience with financial data analysis and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities, with the capacity to explain complex models.
- Proven ability to work independently and manage remote projects effectively.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst, Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client, a prestigious international bank, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their innovative Risk Management division. This is a fully remote position, allowing you to contribute your expertise from anywhere within Kenya. You will be instrumental in developing, validating, and implementing sophisticated quantitative models for risk assessment, pricing, and financial forecasting. This role requires a deep understanding of financial markets, statistical modeling, and advanced programming skills. You will work with large datasets, collaborate with cross-functional teams, and present complex findings to senior management.
Responsibilities:
Qualifications:
This is a unique opportunity to join a leading financial institution and make a significant impact on its risk management capabilities. The role is based in **Bungoma, Bungoma, KE**, but is offered as a fully remote position.
Responsibilities:
- Develop, implement, and maintain quantitative models for credit risk, market risk, and operational risk.
- Perform rigorous model validation to ensure accuracy, robustness, and compliance with regulatory standards.
- Utilize statistical and machine learning techniques to analyze large datasets and identify trends.
- Design and conduct backtesting and stress testing of financial models.
- Contribute to the development of pricing models for complex financial instruments.
- Collaborate with business units to understand their needs and translate them into quantitative solutions.
- Prepare clear and concise documentation for all developed models and methodologies.
- Present complex analytical findings and recommendations to stakeholders at various levels.
- Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
- Ensure compliance with all internal policies and external regulations.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis or financial modeling within the banking or financial services industry.
- Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn), R, or C++.
- Strong knowledge of statistical modeling, time series analysis, regression, and machine learning algorithms.
- Experience with financial risk management frameworks and regulatory requirements (e.g., Basel Accords).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical concepts effectively to non-technical audiences.
- Proven ability to work independently and collaboratively in a remote team environment.
- Detail-oriented with a strong commitment to accuracy and quality.
This is a unique opportunity to join a leading financial institution and make a significant impact on its risk management capabilities. The role is based in **Bungoma, Bungoma, KE**, but is offered as a fully remote position.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Financial Modeling
Posted 19 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 team. This role is central to developing and implementing sophisticated financial models that drive strategic decision-making. The Senior Quantitative Analyst will be responsible for complex data analysis, risk assessment, pricing models, and algorithmic trading strategies. You will leverage advanced statistical techniques, programming languages, and financial theory to build, test, and deploy robust quantitative models. This position requires a deep understanding of financial markets, derivatives, and risk management, coupled with exceptional programming skills and a meticulous attention to detail.
Responsibilities:
Responsibilities:
- Design, develop, and validate complex quantitative models for pricing, risk management, and trading strategies.
- Perform in-depth data analysis and statistical modeling using large datasets.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and translate them into quantitative solutions.
- Implement and backtest trading algorithms and risk management systems.
- Monitor and analyze model performance, making necessary adjustments and improvements.
- Prepare reports and presentations on model results and market insights for senior management.
- Stay current with industry trends, academic research, and regulatory changes affecting quantitative finance.
- Contribute to the development of best practices in quantitative modeling and risk management.
- Ensure compliance with all relevant financial regulations and internal policies.
- Mentor junior analysts and contribute to team development.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis or financial modeling within the financial services industry.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, machine learning, time series analysis, and financial econometrics.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
- Proven ability to work independently and manage multiple projects in a remote environment.
- Experience with big data technologies and cloud platforms is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst - Financial Modeling
Posted 19 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 dynamic, fully remote team. This role focuses on developing sophisticated financial models, conducting in-depth risk analysis, and providing strategic insights to support critical business decisions. You will be instrumental in enhancing our client's quantitative capabilities and ensuring robust risk management frameworks.
Responsibilities:
This is a remote-first position, offering the flexibility to work from any location. The ideal candidate will possess a strong academic background in a quantitative discipline, exceptional programming skills, and a deep understanding of financial markets and instruments. We are looking for an individual who can tackle challenging analytical problems with precision and creativity. Your ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences will be vital.
Qualifications:
Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk management, and valuation.
- Perform rigorous statistical analysis and back-testing of financial models.
- Conduct stress testing and scenario analysis to assess portfolio risk under various market conditions.
- Collaborate with traders, portfolio managers, and risk officers to understand business needs and translate them into quantitative solutions.
- Research and implement new analytical techniques and methodologies.
- Prepare comprehensive reports and presentations summarizing analytical findings for senior management.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior analysts and contribute to the team's overall technical expertise.
- Maintain and enhance existing quantitative models and systems.
- Stay at the forefront of industry developments in quantitative finance and financial technology.
This is a remote-first position, offering the flexibility to work from any location. The ideal candidate will possess a strong academic background in a quantitative discipline, exceptional programming skills, and a deep understanding of financial markets and instruments. We are looking for an individual who can tackle challenging analytical problems with precision and creativity. Your ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences will be vital.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 5 years of relevant experience in quantitative finance or risk management.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of financial markets, derivatives, and risk management techniques.
- Experience with statistical modeling, time series analysis, and econometrics.
- Familiarity with regulatory frameworks like Basel III or IFRS 9 is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Demonstrated ability to manage complex analytical projects.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking an exceptional Senior Quantitative Analyst to join their esteemed team. This is a fully remote position, allowing you to leverage your expertise in financial modeling and data analysis from anywhere. The successful candidate will be responsible for developing, implementing, and validating sophisticated quantitative models used for risk management, trading strategies, and product pricing. You will work with large datasets, apply advanced statistical techniques, and collaborate closely with portfolio managers, traders, and risk officers to provide actionable insights and drive informed decision-making. This role requires a robust understanding of financial markets, derivatives, econometrics, and programming.
Key responsibilities include:
Key responsibilities include:
- Developing and maintaining quantitative models for pricing complex financial instruments, portfolio optimization, and risk measurement (market risk, credit risk, operational risk).
- Implementing and testing model algorithms using programming languages such as Python, R, or C++.
- Analyzing historical and real-time market data to identify trends, correlations, and potential trading opportunities.
- Validating model performance and conducting back-testing to ensure accuracy and reliability.
- Communicating complex quantitative concepts and model results clearly to both technical and non-technical audiences.
- Collaborating with IT departments to ensure seamless integration of models into production systems.
- Staying abreast of regulatory changes and industry best practices in quantitative finance.
- Contributing to the development of new financial products and strategies.
- Performing ad-hoc analysis and research as required by senior management.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
- Ensuring model documentation is comprehensive, accurate, and compliant with regulatory standards.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and analytical Senior Quantitative Analyst to join their dynamic financial services team. This is a fully remote position, offering a challenging and rewarding opportunity to develop and implement sophisticated financial models, risk management systems, and trading strategies. You will be instrumental in applying advanced mathematical and statistical techniques to complex financial data, providing critical insights that drive business decisions and inform investment strategies. Your responsibilities will include designing, building, and maintaining quantitative models for pricing derivatives, assessing market risk, optimizing portfolios, and predicting financial market movements. You will collaborate closely with traders, portfolio managers, risk officers, and IT professionals to translate complex analytical findings into actionable business solutions.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering, with a minimum of 5 years of experience in quantitative finance. Proven expertise in statistical modeling, time series analysis, econometrics, and financial derivatives pricing is essential. You should be proficient in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and possess strong database management skills (e.g., SQL). A deep understanding of financial markets, instruments, and regulatory requirements is highly desirable. Excellent problem-solving, analytical, and critical thinking skills are paramount for tackling complex financial challenges. Strong communication skills are necessary to effectively explain sophisticated models and findings to both technical and non-technical audiences. This remote role requires a self-motivated, detail-oriented individual with a passion for quantitative analysis and a commitment to maintaining the highest standards of accuracy and integrity in financial modeling.
Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering, with a minimum of 5 years of experience in quantitative finance. Proven expertise in statistical modeling, time series analysis, econometrics, and financial derivatives pricing is essential. You should be proficient in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and possess strong database management skills (e.g., SQL). A deep understanding of financial markets, instruments, and regulatory requirements is highly desirable. Excellent problem-solving, analytical, and critical thinking skills are paramount for tackling complex financial challenges. Strong communication skills are necessary to effectively explain sophisticated models and findings to both technical and non-technical audiences. This remote role requires a self-motivated, detail-oriented individual with a passion for quantitative analysis and a commitment to maintaining the highest standards of accuracy and integrity in financial modeling.
Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Design and build complex financial models for pricing, risk management, and trading strategies.
- Conduct in-depth statistical analysis of financial data to identify trends and patterns.
- Perform stress testing and scenario analysis to assess market risk.
- Collaborate with traders and portfolio managers to support investment decisions.
- Develop and maintain automated reporting systems for key financial metrics.
- Ensure models comply with regulatory requirements and internal risk policies.
- Stay current with the latest advancements in quantitative finance and financial modeling techniques.
- Communicate complex model outputs and insights to stakeholders effectively.
- Mentor junior quantitative analysts and contribute to team development.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Financial Engineering, or a related quantitative field.
- 5+ years of experience in quantitative finance, financial modeling, or risk management.
- Proven expertise in statistical modeling, econometrics, and derivative pricing.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of SQL and database management.
- Deep understanding of financial markets and instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting complex findings.
- Ability to work independently and manage complex projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Financial Modeling
Posted 18 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their elite remote team. This role is critical in developing and implementing sophisticated financial models and analytical tools to support trading strategies, risk management, and product development. You will leverage advanced mathematical, statistical, and computational techniques to solve complex financial problems. The ideal candidate will possess a deep understanding of financial markets, derivatives, and econometrics, coupled with exceptional programming skills. This position offers the opportunity to work on challenging problems within a fast-paced, global, remote environment, influencing key financial decisions.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest complex quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, patterns, and investment opportunities.
- Design and build analytical tools and dashboards to support portfolio managers and traders.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and translate them into quantitative solutions.
- Conduct research on new quantitative methodologies and financial instruments.
- Perform thorough validation and testing of models to ensure accuracy and robustness.
- Prepare clear and concise documentation of models, methodologies, and results.
- Communicate complex analytical findings to both technical and non-technical audiences effectively.
- Stay abreast of the latest advancements in quantitative finance, data science, and programming languages.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Contribute to the development and enhancement of trading algorithms and risk systems.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of relevant experience in quantitative analysis, ideally within investment banking, hedge funds, or asset management.
- Strong proficiency in programming languages such as Python, C++, R, or MATLAB.
- Deep understanding of stochastic calculus, probability theory, time series analysis, and econometrics.
- Experience with financial modeling, derivatives pricing, and risk management techniques.
- Excellent data manipulation and analysis skills.
- Proven ability to work independently and as part of a collaborative remote team.
- Strong problem-solving and critical thinking abilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with machine learning techniques is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated, fully remote financial services team. This role is integral to developing and implementing advanced mathematical models and analytical frameworks that drive strategic decision-making in banking and finance. You will be responsible for designing, testing, and deploying complex quantitative models for risk management, pricing, trading strategies, and portfolio optimization. The ideal candidate possesses a strong background in econometrics, statistics, and computational finance, coupled with exceptional programming skills. You will collaborate closely with traders, portfolio managers, risk officers, and IT professionals, utilizing cutting-edge virtual collaboration tools to ensure seamless integration and project success. This is an exceptional opportunity to apply advanced analytical techniques to complex financial problems and significantly influence the firm's performance, all while enjoying the benefits of a remote work environment. Responsibilities include:
- Developing, validating, and implementing quantitative models for financial markets.
- Performing complex statistical analysis and data mining on large financial datasets.
- Creating and maintaining pricing models for derivatives and other financial instruments.
- Developing risk management models (e.g., VaR, credit risk, market risk).
- Designing and backtesting trading algorithms and strategies.
- Collaborating with business units to understand their analytical needs and provide solutions.
- Producing clear and concise documentation of models and methodologies.
- Staying abreast of the latest advancements in quantitative finance and data science.
- Mentoring junior quantitative analysts and contributing to the team's technical expertise.
- Ensuring models comply with regulatory requirements.
- Master's or Ph.D. in Quantitative Finance, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis within the banking or financial services industry.
- Proven expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Exceptional programming skills in languages such as Python, R, C++, or MATLAB.
- Proficiency with financial databases and analytical platforms.
- Strong understanding of financial instruments, markets, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, capable of conveying complex concepts to diverse audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with big data technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst (Financial Modeling)
Posted 15 days ago
Job Viewed
Job Description
Our client, a leading institution in the Banking & Finance sector, is actively seeking a highly skilled Senior Quantitative Analyst to join our sophisticated, fully remote team. This role is central to developing and implementing complex financial models for risk management, trading strategies, and valuation across diverse financial instruments. You will leverage advanced mathematical, statistical, and computational techniques to provide critical insights and support data-driven decision-making from anywhere in the world. The ideal candidate possesses a robust analytical background and deep understanding of financial markets.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management (e.g., VaR, stress testing), and hedging of financial instruments.
- Analyze market data and identify trends to inform model development and strategy.
- Conduct rigorous backtesting and sensitivity analysis of financial models.
- Collaborate closely with portfolio managers, traders, and risk managers to understand their needs and provide quantitative solutions.
- Write efficient and robust code in languages such as Python, R, C++, or MATLAB for model implementation and data analysis.
- Ensure compliance with regulatory requirements and internal policies for model governance.
- Prepare clear and concise documentation for models, methodologies, and results.
- Present complex quantitative findings to both technical and non-technical audiences.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Contribute to the continuous improvement of modeling infrastructure and best practices.
- Perform ad-hoc quantitative analysis to support business initiatives and address critical issues.
- Mentor junior quantitative analysts and contribute to knowledge sharing within the team.
- Develop automated reporting tools for model performance and risk metrics.
- Identify opportunities for model enhancement and innovation.
- Assist in the implementation of new trading algorithms and risk management systems.
- A Master's degree or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- A minimum of 5 years of experience in quantitative analysis, financial modeling, or related roles within the financial services industry.
- Strong proficiency in statistical modeling, time series analysis, and stochastic calculus.
- Expertise in programming languages commonly used in quant finance (Python, R, C++, MATLAB).
- Deep understanding of financial markets, derivatives, fixed income, and equities.
- Experience with data analysis tools and databases.
- 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 projects effectively in a remote setting.
- Familiarity with machine learning techniques applied to finance is a plus.
- Experience with risk management frameworks and regulatory compliance (e.g., Basel III) is advantageous.
This advertiser has chosen not to accept applicants from your region.
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