1767 Financial Modeling jobs in Manama
Quantitative Analyst - Financial Modeling
555 Seef, Capital
BHD150000 Annually
WhatJobs
Posted 13 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and detail-oriented Quantitative Analyst specializing in financial modeling. This role will involve developing and implementing sophisticated mathematical models to assess financial risk, price complex instruments, and optimize investment strategies. You will work closely with portfolio managers and traders to provide critical insights and quantitative support for trading decisions. The ideal candidate will possess a strong academic background in a quantitative field, exceptional programming skills, and a deep understanding of financial markets and derivatives.
Key responsibilities include:
Qualifications include a Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline. Proven experience in quantitative finance or a related field is required. Expertise in programming languages such as Python, C++, or R, and experience with financial libraries and databases are essential. A strong understanding of stochastic calculus, time series analysis, and statistical modeling is a must. Familiarity with machine learning techniques applied to finance is a significant plus. Excellent problem-solving skills, a rigorous analytical approach, and the ability to work under pressure in a fast-paced trading environment are crucial. This role requires the candidate to be based in the office in Seef, Capital, BH .
Key responsibilities include:
- Developing, testing, and validating quantitative models for pricing derivatives, risk management, and portfolio optimization.
- Implementing quantitative strategies in production trading systems.
- Performing statistical analysis and data mining of large financial datasets.
- Collaborating with front-office teams to understand their quantitative needs and translate them into practical solutions.
- Researching and analyzing market trends and macroeconomic factors to inform model development.
- Maintaining and improving existing quantitative models and analytical tools.
- Documenting model methodologies, assumptions, and validation processes thoroughly.
- Staying updated with the latest advancements in quantitative finance, econometrics, and machine learning.
- Communicating complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
Qualifications include a Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline. Proven experience in quantitative finance or a related field is required. Expertise in programming languages such as Python, C++, or R, and experience with financial libraries and databases are essential. A strong understanding of stochastic calculus, time series analysis, and statistical modeling is a must. Familiarity with machine learning techniques applied to finance is a significant plus. Excellent problem-solving skills, a rigorous analytical approach, and the ability to work under pressure in a fast-paced trading environment are crucial. This role requires the candidate to be based in the office in Seef, Capital, BH .
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst - Financial Modeling
BH 104 Bilad Al Qadeem, Capital
BHD11000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is looking for a highly skilled Senior Quantitative Analyst to join their dynamic and fully remote banking and finance division. This is an exceptional opportunity for an individual with a deep understanding of financial markets, sophisticated modeling techniques, and advanced statistical analysis to contribute to critical business decisions. The role involves developing, implementing, and validating complex quantitative models for risk management, pricing, trading strategies, and portfolio optimization. You will work closely with traders, portfolio managers, and risk officers to provide data-driven insights and solutions that enhance profitability and mitigate risk. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science. A minimum of 7 years of relevant experience in quantitative finance, preferably within an investment bank, hedge fund, or asset management firm, is required. Proficiency in programming languages such as Python, R, C++, or Java, along with extensive experience with statistical software and databases, is essential. This is a fully remote position, requiring a proactive and self-motivated individual who can work independently, manage projects effectively, and communicate complex technical concepts to non-technical stakeholders. The ability to collaborate virtually with team members across different locations is crucial. Responsibilities include:
- Developing and implementing advanced quantitative models for financial markets.
- Performing rigorous backtesting and validation of model performance.
- Analyzing large datasets to identify trends and opportunities.
- Contributing to the design and execution of trading strategies.
- Providing quantitative support for risk management and regulatory compliance.
- Collaborating with business units to translate financial needs into quantitative solutions.
- Communicating complex findings and recommendations to senior management.
- Staying current with the latest research and developments in quantitative finance.
- Master's or Ph.D. in a quantitative discipline (Finance, Math, Statistics, Physics, Computer Science).
- 7+ years of experience in quantitative finance, financial modeling, or risk management.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in Python, R, C++, or Java.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote team environment.
- Superior communication and presentation skills.
This advertiser has chosen not to accept applicants from your region.
1
Senior Quantitative Analyst - Financial Modeling
1105 Gudaibiya, Capital
BHD140000 Annually
WhatJobs
Posted 12 days ago
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Job Description
Our client, a prestigious international financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic, fully remote team. This role is critical in developing and implementing sophisticated financial models, pricing algorithms, and risk management strategies that underpin the firm's trading and investment activities. You will work at the intersection of finance, mathematics, and technology, leveraging advanced statistical and computational techniques to solve complex financial problems. The ideal candidate possesses a deep understanding of financial markets, derivatives, econometrics, and programming, with a passion for quantitative research and innovation. This is a remote-first position, requiring excellent communication and collaboration skills to work effectively with global teams.
Responsibilities:
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Conduct rigorous statistical analysis and econometric modeling of market data.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
- Develop and maintain sophisticated algorithms for trade execution and portfolio optimization.
- Perform back-testing and validation of models to ensure their accuracy and robustness.
- Contribute to the development of new financial products and instruments.
- Stay abreast of the latest research in quantitative finance, machine learning, and data science.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
- Assist in the development and implementation of risk management frameworks.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- 5+ years of experience in a quantitative role within investment banking, asset management, or hedge funds.
- Strong theoretical and practical knowledge of financial markets, derivatives pricing, and risk management.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
- Experience with statistical and machine learning libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
- Solid understanding of numerical methods and simulation techniques (e.g., Monte Carlo).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote environment.
- Experience with large datasets and database management is a plus.
- Familiarity with big data technologies and cloud computing platforms is advantageous.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Financial Modeling
921 Bilad Al Qadeem, Capital
BHD130000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a prestigious and innovative financial institution, is seeking a highly analytical and forward-thinking Senior Quantitative Analyst to join their esteemed, fully remote finance department. This critical role involves developing and implementing sophisticated mathematical models for risk management, pricing, and trading strategies across diverse financial markets. You will be at the forefront of leveraging advanced analytics and computational techniques to drive strategic decision-making and enhance profitability.
Responsibilities:
This position offers the significant advantage of being a fully remote role, enabling you to excel from your chosen workspace. We are looking for candidates with a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science, along with a minimum of 5 years of experience in a similar quantitative role within the financial services industry. Strong programming skills, a deep understanding of financial instruments, and proven experience in building and deploying complex models are essential. Excellent communication and interpersonal skills are necessary for effective remote collaboration. This is a unique opportunity to apply your quantitative expertise within a leading financial firm, contributing to its success from **Tubli, Capital, BH**, or remotely from anywhere.
Responsibilities:
- Design, build, and validate complex quantitative models for pricing derivatives, assessing market risk, and optimizing investment portfolios.
- Develop and implement algorithms for algorithmic trading and high-frequency trading strategies.
- Conduct in-depth statistical analysis and econometrics research to identify market trends and opportunities.
- Collaborate with portfolio managers, traders, and risk officers to understand their analytical needs and provide data-driven solutions.
- Ensure model compliance with regulatory requirements and internal risk policies.
- Develop and maintain high-quality, production-ready code in languages such as Python, R, or C++.
- Automate reporting processes and build dashboards for monitoring model performance and key financial metrics.
- Stay current with the latest advancements in financial engineering, machine learning, and computational finance.
- Present complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
This position offers the significant advantage of being a fully remote role, enabling you to excel from your chosen workspace. We are looking for candidates with a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science, along with a minimum of 5 years of experience in a similar quantitative role within the financial services industry. Strong programming skills, a deep understanding of financial instruments, and proven experience in building and deploying complex models are essential. Excellent communication and interpersonal skills are necessary for effective remote collaboration. This is a unique opportunity to apply your quantitative expertise within a leading financial firm, contributing to its success from **Tubli, Capital, BH**, or remotely from anywhere.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst - Financial Modeling
123 Al Daih, Northern
BHD130000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their sophisticated team in Budaiya, Northern, BH . This role is integral to developing and implementing complex financial models for risk management, pricing, trading strategies, and portfolio optimization. You will leverage advanced statistical techniques, programming expertise, and a deep understanding of financial markets to drive critical business decisions.
Responsibilities:
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing derivatives, assessing market risk, credit risk, and operational risk.
- Design and build algorithmic trading strategies, backtesting them rigorously against historical data.
- Perform statistical analysis of large financial datasets to identify market trends, correlations, and opportunities.
- Contribute to the development of stress testing scenarios and economic capital modeling.
- Collaborate with traders, portfolio managers, and risk managers to understand their modeling needs and provide solutions.
- Implement models in production environments using high-performance programming languages.
- Maintain and enhance existing financial models, ensuring accuracy and compliance with regulatory requirements.
- Research and evaluate new quantitative techniques and technologies applicable to financial modeling.
- Prepare clear and concise documentation for models, methodologies, and results.
- Present findings and recommendations to senior management and trading desks.
- Ensure adherence to all internal policies and external regulations governing financial modeling and risk management.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Stay informed about market developments, regulatory changes, and industry best practices.
- Participate in model validation and review processes.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of relevant experience in quantitative finance, with a strong focus on model development and implementation.
- Expertise in stochastic calculus, time series analysis, econometrics, and statistical modeling.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or MATLAB.
- Experience with financial modeling software and platforms.
- Deep understanding of financial markets, instruments, and derivatives pricing.
- Proven ability to develop robust and efficient algorithms.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
- Experience with large-scale data manipulation and database management is a plus.
- Knowledge of machine learning techniques applied to finance is desirable.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Financial Modeling
205 Ghuraifa, Capital
BHD130000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an accomplished Senior Quantitative Analyst to join their sophisticated risk management and financial modeling team. This hybrid role, based in **Jidhafs, Capital, BH**, combines the benefits of in-office collaboration with remote work flexibility. You will be instrumental in developing, implementing, and validating complex mathematical models used for pricing, risk assessment, and capital allocation across various financial products. Your responsibilities will include designing algorithms, performing rigorous statistical analysis, and translating model outputs into actionable insights for business stakeholders. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling, and a deep understanding of derivative pricing, risk metrics, and regulatory requirements. This position offers a challenging and rewarding environment for a highly analytical professional.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest sophisticated quantitative models for pricing exotic derivatives, credit risk, market risk, and operational risk.
- Perform rigorous statistical analysis and validation of existing models to ensure accuracy, robustness, and compliance with regulatory standards.
- Collaborate with traders, portfolio managers, and risk managers to understand business needs and translate them into quantitative modeling requirements.
- Design and develop algorithms for trading strategies, portfolio optimization, and risk hedging.
- Generate detailed documentation for all models, including assumptions, methodologies, and validation results.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and computational finance.
- Communicate complex quantitative concepts and findings clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of new financial products and the enhancement of existing ones through quantitative insights.
- Ensure compliance with relevant financial regulations (e.g., Basel III, IFRS 9) and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing and development.
- Work with IT teams to ensure the efficient implementation and deployment of quantitative models into production environments.
- Participate in internal and external model validation reviews.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or a related quantitative field.
- A minimum of 6 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Extensive experience with statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Proven ability to develop and validate complex mathematical models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Experience with data visualization tools and techniques.
- Knowledge of regulatory frameworks impacting financial institutions is highly desirable.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Financial Modeling
10601 Ghuraifa, Capital
BHD160000 Annually
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated team. This role is critical for developing and implementing complex financial models, pricing derivatives, and managing risk. As a fully remote position, you will have the autonomy to contribute your expertise from any location while collaborating closely with a global team of finance professionals. You will be responsible for designing, building, and validating sophisticated quantitative models for trading strategies, risk management, and portfolio optimization. Key responsibilities include conducting rigorous mathematical and statistical analysis, performing back-testing and scenario analysis, and developing robust algorithms. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in financial modeling and derivative pricing, and expert programming skills in languages such as Python, C++, or R. A deep understanding of financial markets, regulatory requirements, and risk management frameworks is essential. You will be expected to communicate complex findings clearly and concisely to both technical and non-technical stakeholders. This is an exceptional opportunity to work on challenging financial problems, contribute to cutting-edge research, and drive innovation within the financial services industry in a remote-first environment.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing financial instruments, hedging, and risk management.
- Conduct in-depth mathematical and statistical analysis of financial markets and data.
- Design and execute complex simulations, stress tests, and scenario analyses.
- Perform rigorous validation and back-testing of models to ensure accuracy and reliability.
- Develop algorithms for trading strategies, portfolio optimization, and risk control.
- Collaborate with traders, portfolio managers, and risk officers to provide quantitative insights and support decision-making.
- Stay abreast of industry trends, regulatory changes, and new quantitative techniques.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Contribute to the team's research efforts and intellectual property development.
- 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.
- Minimum of 7 years of experience in quantitative finance, with a strong focus on financial modeling and derivative pricing.
- Expertise in programming languages such as Python, C++, R, or similar.
- In-depth knowledge of financial markets, asset classes, and derivative instruments.
- Strong understanding of statistical modeling, time series analysis, and numerical methods.
- Experience with risk management frameworks and regulatory requirements (e.g., Basel).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to communicate complex quantitative concepts effectively to diverse audiences.
- Experience with large datasets and database technologies.
- Ability to work independently and as part of a remote, globally distributed team.
This advertiser has chosen not to accept applicants from your region.
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6
Remote Senior Quantitative Analyst (Financial Modeling)
1050 Ghuraifa, Capital
BHD6500 Monthly
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote team. This role is instrumental in developing and implementing sophisticated mathematical models for pricing, risk management, and trading strategies. You will be responsible for designing, testing, and deploying complex quantitative models across various financial products and markets. The ideal candidate will possess a deep understanding of stochastic calculus, econometrics, statistical modeling, and programming. Your responsibilities will include data analysis, model validation, backtesting, and the continuous improvement of existing models. You will collaborate closely with traders, portfolio managers, and risk officers to translate business needs into robust quantitative solutions. This position requires exceptional programming skills in languages such as Python, R, C++, or similar, along with experience in database management and large-scale data manipulation. A strong grasp of financial markets, derivatives, and risk management frameworks is essential. You will also play a key role in documenting model methodologies, assumptions, and performance. The ability to communicate complex technical concepts to non-technical stakeholders effectively is crucial. This role offers a challenging and rewarding opportunity to leverage advanced analytical skills in a remote setting within the dynamic financial industry. Responsibilities include:
- Developing, validating, and implementing sophisticated quantitative models for financial markets.
- Designing and executing rigorous backtesting and stress-testing of models.
- Performing complex data analysis and statistical modeling to identify market trends and opportunities.
- Collaborating with trading desks, risk management, and portfolio management teams to understand their needs and provide analytical support.
- Programming in languages such as Python, R, C++, or similar for model development and implementation.
- Managing and processing large datasets from various financial sources.
- Documenting model methodologies, assumptions, and validation processes.
- Staying current with academic research and industry developments in quantitative finance.
- Assisting in the interpretation of model outputs and their implications for business strategy.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
- Master's degree 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 or in a similar quantitative role within the financial services industry.
- Strong expertise in financial modeling, econometrics, time series analysis, and machine learning techniques.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++, SQL).
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and large-scale data management.
- Deep understanding of financial derivatives, risk management, and portfolio optimization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex quantitative concepts clearly.
- Proven ability to work independently and manage multiple projects effectively in a remote environment.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Financial Modeling (Remote)
85125 Ghuraifa, Capital
BHD120000 Annually
WhatJobs
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Quantitative Analyst specializing in financial modeling to join their innovative remote team. This role is critical for developing and validating complex quantitative models that underpin our firm's trading strategies and risk management frameworks. The successful candidate will leverage advanced mathematical, statistical, and programming skills to create robust, efficient, and accurate models. This position offers the flexibility to work remotely, collaborating with a global team of finance professionals and data scientists.
Responsibilities:
Responsibilities:
- Design, develop, and implement sophisticated quantitative models for pricing, risk management, and asset allocation in various financial markets.
- Validate and back-test existing models, ensuring their accuracy, reliability, and compliance with regulatory standards.
- Conduct in-depth statistical analysis of market data to identify patterns, correlations, and predictive signals.
- Collaborate with traders, portfolio managers, and technology teams to translate business requirements into quantitative solutions.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
- Research and explore new methodologies and technologies to enhance modeling capabilities.
- Prepare clear and concise documentation for all models and methodologies developed.
- Present complex analytical findings and model results to both technical and non-technical audiences.
- Contribute to the firm's quantitative research efforts and thought leadership.
- 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 finance, specifically in model development and validation.
- Expert proficiency in programming languages like Python, C++, and SQL.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Demonstrated experience with statistical modeling, time series analysis, and machine learning techniques.
- Excellent problem-solving abilities and a rigorous, analytical mindset.
- Superior communication and interpersonal skills, with the ability to work effectively in a remote, collaborative environment.
- Experience with large datasets and data visualization tools is a plus.
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8
Remote Principal Data Scientist - Financial Modeling
707 Al Muharraq, Muharraq
BHD180000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious global financial institution, is seeking a highly skilled and experienced Remote Principal Data Scientist to lead advanced financial modeling and quantitative analysis efforts. This is a fully remote role, offering the opportunity to work with cutting-edge technology and drive strategic decision-making. You will be responsible for developing, validating, and deploying sophisticated statistical models to address complex financial challenges, including risk assessment, fraud detection, algorithmic trading, and portfolio optimization. This involves leveraging large datasets, employing advanced machine learning techniques, and ensuring the interpretability and accuracy of model outputs. You will play a key role in defining the data science roadmap, mentoring junior data scientists, and collaborating closely with business stakeholders, traders, and risk managers to translate business needs into actionable data-driven insights. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Physics) and have extensive experience in applying data science and machine learning to financial markets. Expertise in programming languages like Python or R, proficiency with data manipulation libraries (e.g., Pandas, NumPy), and experience with deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong communication skills are required to present complex findings clearly and concisely to both technical and non-technical audiences. We are looking for an innovative thinker with a deep understanding of financial instruments and markets, capable of driving significant impact through advanced analytics. This role offers a challenging and rewarding opportunity to shape the future of quantitative finance.
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