5,353 Financial Modeling jobs in the United States
Quantitative Analyst - Financial Modeling
20001 Washington, District Of Columbia
$160000 Annually
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Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and quantitative mind to join their team as a Quantitative Analyst in Washington, D.C., US . This role is critical in developing and implementing sophisticated financial models that drive strategic decision-making across various business units. You will be responsible for building, testing, and validating complex mathematical models for pricing derivatives, assessing risk, portfolio optimization, and forecasting market behavior. Your work will involve extensive data analysis, statistical modeling, and programming to create robust quantitative solutions. Collaboration with traders, portfolio managers, and risk managers to understand their needs and provide data-driven insights will be a key aspect of this position. The ideal candidate will possess a strong academic background with a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Expertise in programming languages commonly used in quantitative finance, such as Python, C++, or R, is essential. A deep understanding of financial markets, financial instruments, and stochastic calculus is highly desirable. You should have exceptional problem-solving skills and the ability to translate complex mathematical concepts into practical applications. This position is based in our Washington, D.C., US office, requiring a commitment to on-site collaboration. You will be at the forefront of financial innovation, contributing to the firm's competitive edge. Join a dynamic team where intellectual curiosity and rigorous analysis are valued. This role offers significant opportunities for professional growth and development within the financial industry. The quantitative team works on challenging problems that require creativity and precision. You will be part of a culture that values data integrity and empirical evidence.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain complex mathematical and statistical models for financial applications.
- Perform quantitative analysis of market data to identify trends and opportunities.
- Build and validate models for derivative pricing, risk management, and portfolio optimization.
- Collaborate with business stakeholders to understand requirements and provide quantitative solutions.
- Program and test quantitative models using languages such as Python, C++, or R.
- Analyze and interpret large datasets to extract meaningful financial insights.
- Contribute to the development of new trading strategies and risk mitigation techniques.
- Ensure the accuracy, robustness, and efficiency of all quantitative models.
- Stay updated on the latest advancements in quantitative finance and relevant technologies.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or a related quantitative field.
- Strong programming skills in Python, C++, R, or similar languages.
- In-depth knowledge of financial markets, financial instruments, and derivatives.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Familiarity with stochastic calculus and its applications in finance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities to explain complex concepts.
- Ability to work effectively in a fast-paced, team-oriented environment.
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0
Quantitative Analyst - Financial Modeling
76101 Fort Worth, Texas
$115000 Annually
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Posted 7 days ago
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Job Description
Our client, a prominent financial institution in Fort Worth, Texas, US , is seeking a highly analytical and detail-oriented Quantitative Analyst to join their team. This hybrid role involves developing and implementing sophisticated financial models to support trading strategies, risk management, and product development. You will work closely with portfolio managers, traders, and risk officers to translate complex financial concepts into robust quantitative frameworks. The ideal candidate will possess a strong academic background in a quantitative field, coupled with practical experience in financial modeling, statistical analysis, and programming. Responsibilities include designing, testing, and validating pricing models, risk models, and portfolio optimization algorithms. You will also be involved in data analysis, performance attribution, and the generation of insightful reports for senior management. We are looking for an individual with excellent problem-solving skills, a deep understanding of financial markets, and proficiency in programming languages such as Python, R, or C++. This hybrid position requires regular on-site collaboration with team members and stakeholders, while allowing for focused analytical work remotely. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is essential. Join a leading financial firm and contribute to its success through rigorous quantitative analysis and innovative financial modeling.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest quantitative models for pricing derivatives, risk assessment, and portfolio optimization.
- Perform statistical analysis on large datasets to identify market trends and trading opportunities.
- Build and maintain robust financial models for various asset classes.
- Collaborate with portfolio managers and traders to refine trading strategies and risk parameters.
- Conduct sensitivity analysis and stress testing on existing models.
- Generate reports and visualizations to communicate model results and insights to stakeholders.
- Ensure the accuracy, reliability, and regulatory compliance of all quantitative models.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Participate in code reviews and contribute to the team's software development best practices.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field.
- Minimum of 4 years of experience as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong proficiency in programming languages such as Python, R, C++, or MATLAB.
- Solid understanding of financial markets, derivative pricing, and risk management principles.
- Experience with statistical modeling, machine learning techniques, and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work effectively in a hybrid environment, balancing team collaboration with independent work.
- Experience with SQL and database management is a plus.
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1
Quantitative Analyst, Financial Modeling
53703 Madison, Wisconsin
$100000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is a cutting-edge financial services firm seeking a highly analytical and skilled Quantitative Analyst to join our dynamic team. This role offers the flexibility of remote work, allowing you to contribute to our sophisticated financial modeling and analytics efforts from your preferred location. You will be responsible for developing and implementing complex mathematical models, performing statistical analysis, and contributing to data-driven decision-making across various financial products and strategies. The ideal candidate possesses a strong background in finance, mathematics, statistics, and programming, with a proven ability to translate complex quantitative concepts into actionable insights.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Perform statistical analysis of large datasets to identify trends, correlations, and patterns.
- Collaborate with portfolio managers, traders, and risk managers to understand their quantitative needs.
- Design and conduct backtesting and validation of models.
- Contribute to the development of data pipelines and analytics infrastructure.
- Generate reports and visualizations to communicate complex quantitative findings to non-technical stakeholders.
- Stay abreast of advancements in quantitative finance, machine learning, and data science.
- Ensure the accuracy, robustness, and efficiency of developed models.
- Contribute to the continuous improvement of quantitative methodologies and tools.
- Assist in the documentation and deployment of quantitative models.
Qualifications:
- Master's degree or PhD in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or Engineering.
- 2+ years of experience in quantitative analysis, financial modeling, or a related role.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++).
- Strong knowledge of statistical methods, time series analysis, and financial mathematics.
- Experience with financial data sources and analytical tools.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts clearly.
- Familiarity with machine learning techniques is a plus.
- Experience with data visualization tools is beneficial.
- Ability to work independently and manage projects in a remote environment.
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2
Quantitative Analyst - Financial Modeling
30301 Atlanta, Georgia
$130000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client, a leading financial institution in **Atlanta, Georgia**, is seeking a highly skilled Quantitative Analyst to join their sophisticated trading analytics team. This hybrid role offers the opportunity to work closely with traders and portfolio managers, developing and implementing complex mathematical models and algorithms that drive investment strategies. You will be responsible for designing, backtesting, and deploying quantitative trading strategies across various asset classes. This includes conducting in-depth market research, performing statistical analysis of financial data, and building predictive models to identify arbitrage opportunities and manage risk. A strong understanding of financial markets, derivatives pricing, and programming languages like Python or R is essential. The ideal candidate possesses exceptional analytical abilities, a meticulous attention to detail, and a passion for innovation in quantitative finance. You will work in a collaborative environment, contributing to the continuous improvement of our trading infrastructure and methodologies.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement quantitative trading models and strategies.
- Perform statistical analysis on large financial datasets.
- Design and execute backtesting frameworks for evaluating model performance.
- Collaborate with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Identify and exploit market inefficiencies through data-driven insights.
- Conduct research on new financial instruments and market trends.
- Monitor and manage risk associated with implemented strategies.
- Contribute to the development and maintenance of the firm's quantitative infrastructure.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
- Proven experience in quantitative finance, algorithmic trading, or financial modeling.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and risk management.
- Excellent problem-solving and communication skills.
- Ability to thrive in a fast-paced, high-pressure trading environment.
Apply Now
3
Quantitative Analyst - Financial Modeling
75201 Prairie View, Texas
$135000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a well-established financial institution in **Dallas, Texas, US**, is seeking a talented Quantitative Analyst to join their sophisticated trading and risk management division. This hybrid role offers a blend of on-site collaboration for team synergy and remote flexibility for focused analysis. The ideal candidate will possess a strong academic background in a quantitative field and extensive experience in developing and implementing complex financial models. You will be responsible for designing, testing, and deploying quantitative strategies for trading, risk assessment, and portfolio optimization. This includes leveraging statistical techniques, programming skills, and deep market knowledge to drive financial performance and manage risk effectively.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and implement quantitative trading strategies across various asset classes.
- Build and maintain complex financial models for pricing derivatives, risk management, and portfolio allocation.
- Analyze large datasets to identify market trends, trading opportunities, and risk factors.
- Collaborate with portfolio managers and traders to understand their needs and provide analytical support.
- Ensure the accuracy and efficiency of trading algorithms and risk systems.
- Research and apply advanced statistical and machine learning techniques to financial modeling problems.
- Prepare detailed reports and presentations on model performance, market analysis, and risk exposures.
- Stay abreast of financial market developments and innovations in quantitative finance.
- Contribute to the development of new financial products and risk management frameworks.
- Work with technology teams to ensure robust implementation of models and systems.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within the financial services industry.
- Proficiency in programming languages such as Python, C++, or R.
- Strong understanding of financial markets, derivatives pricing, and portfolio theory.
- Experience with statistical modeling, time series analysis, and machine learning algorithms.
- Familiarity with data analysis and visualization tools.
- Excellent analytical, problem-solving, and computational skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Ability to work effectively in a hybrid environment, collaborating with team members both in-office and remotely.
Apply Now
4
Senior Quantitative Analyst - Financial Modeling
80901 Colorado Springs, Colorado
$120000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their esteemed banking and finance division in Colorado Springs, Colorado, US . This role is instrumental in developing, validating, and implementing complex financial models used for risk management, pricing, valuation, and regulatory compliance. The ideal candidate will possess a strong quantitative background, exceptional programming skills, and a deep understanding of financial markets and instruments.
Key responsibilities include designing and building sophisticated financial models for various purposes, such as credit risk assessment, market risk analysis, derivative pricing, and portfolio optimization. You will be responsible for validating model assumptions, performing backtesting, and ensuring the accuracy and reliability of model outputs. This role requires extensive programming in languages like Python, R, or C++, along with expertise in statistical modeling and machine learning techniques. The Senior Quantitative Analyst will also be involved in interpreting model results, preparing detailed reports, and presenting findings to senior management, traders, and risk committees. Staying abreast of regulatory changes (e.g., Basel Accords, CCAR) and ensuring models comply with these requirements is crucial. Collaboration with business units, IT, and risk management teams to gather requirements, implement models into production environments, and provide ongoing support is essential. You will also contribute to the development of model documentation and conduct peer reviews of models developed by other team members.
Qualifications:
Key responsibilities include designing and building sophisticated financial models for various purposes, such as credit risk assessment, market risk analysis, derivative pricing, and portfolio optimization. You will be responsible for validating model assumptions, performing backtesting, and ensuring the accuracy and reliability of model outputs. This role requires extensive programming in languages like Python, R, or C++, along with expertise in statistical modeling and machine learning techniques. The Senior Quantitative Analyst will also be involved in interpreting model results, preparing detailed reports, and presenting findings to senior management, traders, and risk committees. Staying abreast of regulatory changes (e.g., Basel Accords, CCAR) and ensuring models comply with these requirements is crucial. Collaboration with business units, IT, and risk management teams to gather requirements, implement models into production environments, and provide ongoing support is essential. You will also contribute to the development of model documentation and conduct peer reviews of models developed by other team members.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in developing and validating complex financial models.
- Strong programming skills in Python, R, C++, or similar languages.
- In-depth knowledge of financial markets, instruments, and derivatives.
- Experience with statistical modeling, machine learning, and econometrics.
- Familiarity with regulatory requirements and their impact on financial modeling.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and effectively in a collaborative team environment.
- Experience with SQL and database management is a plus.
Apply Now
5
Senior Quantitative Analyst - Financial Modeling
55401 Minneapolis, Minnesota
$130000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their remote-based team, focusing on advanced financial modeling and risk management. This fully remote position offers an exceptional opportunity for an individual with a deep understanding of financial markets, sophisticated statistical modeling, and programming expertise. You will be responsible for developing, validating, and implementing complex quantitative models used for pricing financial instruments, assessing risk, portfolio optimization, and algorithmic trading strategies. Your role will involve extensive data analysis, statistical testing, and the application of cutting-edge mathematical techniques to solve challenging financial problems. You will collaborate closely with traders, portfolio managers, and risk officers to provide analytical support and insights that drive critical business decisions. A significant part of your work will involve researching and implementing new methodologies to enhance modeling capabilities and maintain a competitive edge. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience in developing and deploying financial models in a professional setting is essential, along with strong programming skills in languages like Python, C++, or R. Familiarity with large datasets, cloud computing environments, and machine learning techniques applied to finance is highly advantageous. Excellent communication skills are required to articulate complex quantitative concepts to diverse audiences. This remote-first role requires a high degree of autonomy, initiative, and a commitment to continuous learning. If you are a talented quantitative professional seeking to apply your expertise to impactful financial challenges in a flexible, remote setting, we encourage you to apply.
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6
Senior Quantitative Analyst - Financial Modeling
21201 Baltimore, Maryland
$150000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a leading global investment bank, is looking for a highly motivated and exceptionally skilled Senior Quantitative Analyst to join their remote-first team. This position is critical for developing and enhancing sophisticated financial models used for risk management, trading strategies, and product pricing. You will work on complex financial instruments and leverage advanced mathematical and statistical techniques. This is a fully remote position, offering flexibility and the opportunity to contribute to high-impact projects from anywhere.
Responsibilities:
Responsibilities:
- Design, develop, and implement quantitative models for pricing, hedging, and risk management of derivatives and other financial products.
- Conduct in-depth research and analysis of financial markets and economic trends to inform model development.
- Validate and back-test existing models to ensure accuracy and robustness.
- Collaborate with traders, risk managers, and other stakeholders to understand their needs and translate them into quantitative solutions.
- Develop and maintain high-quality code in languages such as Python, R, C++, or Java for model implementation and analysis.
- Perform data analysis and feature engineering on large datasets.
- Contribute to the documentation of models, methodologies, and assumptions.
- Stay abreast of the latest developments in quantitative finance, machine learning, and computational methods.
- Mentor junior quants and contribute to team knowledge sharing.
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative finance, preferably within investment banking or a related financial institution.
- Strong proficiency in programming languages commonly used in quantitative finance (Python, C++, R).
- Deep understanding of stochastic calculus, statistical modeling, time series analysis, and financial derivatives.
- Experience with machine learning techniques and their application in finance is a plus.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong written and verbal communication skills, with the ability to explain complex concepts to non-technical audiences.
- Demonstrated ability to work effectively in a fast-paced, demanding environment.
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7
Senior Quantitative Analyst, Financial Modeling
68101 Omaha, Nebraska
$150000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a distinguished institution within the Banking & Finance sector in Omaha, Nebraska , is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their sophisticated finance division. This critical role will focus on developing, implementing, and maintaining complex financial models to support strategic decision-making, risk management, and product development. You will be responsible for designing and validating quantitative models for areas such as pricing, valuation, risk assessment, and portfolio optimization. This includes leveraging advanced statistical techniques, machine learning algorithms, and programming languages to analyze large datasets and generate actionable insights. The Senior Quantitative Analyst will play a key role in enhancing the firm's analytical capabilities, identifying opportunities for model improvement, and ensuring the accuracy and reliability of financial forecasts. Collaboration with traders, portfolio managers, risk officers, and IT teams will be essential to effectively deploy and integrate these models into business processes. The ideal candidate will possess a strong academic background in a quantitative field, extensive experience in financial modeling, and a deep understanding of financial markets and instruments. Exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts to non-technical stakeholders are paramount. This position offers a challenging and rewarding environment where your analytical prowess will directly impact the firm's success.
Responsibilities:
Responsibilities:
- Develop, implement, and validate complex quantitative financial models.
- Analyze large datasets using statistical methods and programming languages (e.g., Python, R).
- Create models for pricing, valuation, risk management, and portfolio optimization.
- Enhance existing models and develop new methodologies for improved accuracy.
- Collaborate with business units to understand their analytical needs and deliver solutions.
- Present complex quantitative findings to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal policies.
- Stay abreast of the latest advancements in quantitative finance and data science.
- Contribute to the firm's strategic planning and decision-making processes.
- Troubleshoot and maintain existing financial models.
- Master's or Ph.D. in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of statistical modeling, machine learning, and data analysis techniques.
- Deep understanding of financial markets, instruments, and regulations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Experience with financial databases and software.
- Ability to work effectively in a hybrid team environment.
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8
Senior Quantitative Analyst - Financial Modeling
30303 Atlanta, Georgia
$130000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their prestigious financial services firm in Atlanta, Georgia, US . This role is integral to developing and implementing sophisticated financial models used for risk management, trading strategies, and portfolio optimization. The ideal candidate will possess a strong background in quantitative finance, econometrics, and statistical modeling, with a deep understanding of financial markets and instruments. You will be responsible for designing, building, testing, and validating complex financial models, as well as performing rigorous quantitative analysis on large datasets. Key responsibilities include developing pricing models for derivatives, implementing risk management frameworks, conducting backtesting of trading strategies, and contributing to the firm's quantitative research efforts. Collaboration with traders, portfolio managers, risk managers, and IT professionals will be essential for the successful deployment and integration of these models. The Senior Quantitative Analyst will also mentor junior analysts, contribute to technical documentation, and stay abreast of the latest advancements in quantitative finance and financial technology. A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering is required, along with a minimum of 5 years of relevant experience in quantitative finance or a similar analytical role. Exceptional programming skills in languages such as Python, R, or C++, along with experience with financial data providers and databases, are essential.
Responsibilities:
Responsibilities:
- Develop, implement, and validate complex quantitative financial models.
- Perform rigorous statistical analysis of financial data.
- Create pricing models for various financial instruments, including derivatives.
- Implement and refine risk management models and frameworks.
- Conduct backtesting and performance analysis of trading strategies.
- Contribute to the firm's quantitative research and development initiatives.
- Collaborate with traders, portfolio managers, and risk managers.
- Assist in the deployment and integration of quantitative models into production systems.
- Mentor and guide junior quantitative analysts.
- Prepare technical documentation and reports on model methodologies and results.
- Stay current with advancements in quantitative finance and financial modeling techniques.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Financial Engineering, or a related quantitative field.
- Minimum of 5 years of experience in quantitative finance, financial modeling, or a similar analytical role.
- Strong understanding of financial markets, instruments, and regulations.
- Proficiency in quantitative modeling techniques, econometrics, and statistical analysis.
- Excellent programming skills in Python, R, C++, or similar languages.
- Experience with financial data analysis tools and databases.
- Strong analytical, problem-solving, and critical thinking skills.
- Effective written and verbal communication abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
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