What is quantitative finance?

Quantitative finance is the methodology of applying disciplines from mathematics, statistics, scientific computing, and finance with computer programming to financial trading and investment work. Quantitative finance allows you to build financial models that can be used for pricing a range of financial assets, including financial derivative products. You can also automate trading processes using quantitative finance. Some models even allow for solo trading without a great deal of oversight. This is achieved by setting up risk inputs, and the computer program makes trades within the limits of the risk inputs.

Why is it valuable to learn quantitative finance?

It's valuable to learn quantitative finance as you can become knowledgeable about how to analyze investment decisions while balancing asset allocation with risk management. Having this basic understanding can help you with finances in your professional and personal life. Learning quantitative finance could put you into the major leagues of financial risk management. This knowledge may help you understand the price of securities and financial derivatives. Using concepts of quantitative analysis and quantitative finance can help investors and investment clients develop and make wise decisions about their investment strategies.

What are typical careers that use quantitative finance?

Typical careers that use quantitative finance include financial engineer, quantitative financial analyst, derivatives trader, asset manager, fund manager, and financial risk manager. Learning about quantitative finance might help you find work in commercial banks, investment banks, securities industry companies, wealth management firms, and hedge funds. Experts in quantitative finance are also highly sought by accountancy firms, insurance companies, management consulting firms, and financial software companies.

How can taking online courses on Coursera help me learn quantitative finance?

When you take online courses about quantitative finance on Coursera, you could learn the fundamentals of statistical financial models, including insights into asset pricing, credit risk modeling, investment theory, algorithmic trading, and financial institutions and markets. Some of the online courses are heavily geared to learning derivatives pricing, while others spend more time and substance on machine learning, data science, and object-oriented programming.

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98 resultados para "quantitative finance"

University of Pennsylvania
Finance & Quantitative Modeling for Analysts
Habilidades que obtendrás: Accounting, Business Analysis, Financial Accounting, Finance, Data Analysis, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing
4.5
(15.1k reseñas)
Beginner · Specialization · 3-6 Months
Columbia University
Financial Engineering and Risk Management
Habilidades que obtendrás: Finance, Probability & Statistics, Risk Management, Mathematics, General Statistics, Probability Distribution, Investment Management, Accounting, Mathematical Theory & Analysis, Securities Sales, Securities Trading, Audit, Algebra, Calculus, Correlation And Dependence, Linear Algebra, Applied Mathematics, BlockChain, Communication, Computer Programming, Entrepreneurship, FinTech, Leadership and Management, Machine Learning, Markov Model, Product Marketing, Sales, Strategy
4.5
(124 reseñas)
Intermediate · Specialization · 3-6 Months
EDHEC Business School
Investment Management with Python and Machine Learning
Habilidades que obtendrás: Finance, Computer Programming, Investment Management, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Probability & Statistics, Data Analysis Software, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Data Mining, Natural Language Processing, Risk Management, Applied Machine Learning, Regression, Mathematics, Network Analysis, Leadership and Management, Accounting, Business Analysis, Computer Science, Financial Analysis, Statistical Analysis
4.6
(1.6k reseñas)
Beginner · Specialization · 3-6 Months
Google Cloud
Machine Learning for Trading
Habilidades que obtendrás: Machine Learning, Finance, Leadership and Management, Cloud Computing, Cloud Platforms, Risk Management, Strategy, Applied Machine Learning, Artificial Neural Networks, Entrepreneurship, Investment Management, Marketing, Probability & Statistics, Sales, Securities Trading, Strategy and Operations, Business Psychology, Computer Programming, General Statistics, Mathematics, Python Programming, Reinforcement Learning, Statistical Programming
3.9
(1k reseñas)
Intermediate · Specialization · 1-3 Months
Columbia University
Introduction to Financial Engineering and Risk Management
Habilidades que obtendrás: Finance, General Statistics, Probability & Statistics, Mathematics, Probability Distribution, Risk Management, Securities Sales, Securities Trading, Algebra, Calculus, Correlation And Dependence, Investment Management, Linear Algebra, Mathematical Theory & Analysis, Applied Mathematics, BlockChain, FinTech, Machine Learning, Markov Model
4.6
(96 reseñas)
Intermediate · Course · 1-3 Months
University of Pennsylvania
Fundamentals of Quantitative Modeling
Habilidades que obtendrás: Business Analysis, Data Analysis, Data Model, Probability & Statistics, Data Management, Estimation, Statistical Analysis, Finance, Financial Analysis, General Statistics, Regression, Design and Product, Entrepreneurship, Leadership and Management, Market Research, Marketing, Mathematics, Probability Distribution, Product Management, Product Marketing, Research and Design, Sales, Strategy, Strategy and Operations
4.6
(8.3k reseñas)
Mixed · Course · 1-4 Weeks
Gratis
Erasmus University Rotterdam
Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital
Habilidades que obtendrás: Finance, Mergers & Acquisitions, Business Analysis, Data Analysis, Financial Analysis, Investment Management, Accounting, Entrepreneurship, Leadership and Management, Marketing, Sales, Strategy, Strategy and Operations, Financial Accounting, Financial Management, Game Theory, Mathematics, Risk Management, Decision Making
4.6
(1.1k reseñas)
Advanced · Course · 1-3 Months
Association of International Certified Professional Accountants
Introduction to Data Analytics for Accounting Professionals
Habilidades que obtendrás: Data Analysis, Data Management, Business Analysis, Data Structures, Theoretical Computer Science, Accounting, Audit, Budget Management, Business Intelligence, Communication, Critical Thinking, Data Model, Data Visualization, Entrepreneurship, Finance, Market Analysis, Market Research, Marketing, Public Relations, Research and Design, Strategy and Operations, Sales
4.6
(34 reseñas)
Beginner · Course · 1-4 Weeks

Búsquedas relacionadas con quantitative finance

finance & quantitative modeling for analysts

En síntesis, estos son los 10 cursos más populares quantitative finance

Finance & Quantitative Modeling for Analysts: University of Pennsylvania
Financial Engineering and Risk Management: Columbia University
Investment Management with Python and Machine Learning: EDHEC Business School
Machine Learning for Trading: Google Cloud
Introduction to Financial Engineering and Risk Management: Columbia University
Fundamentals of Quantitative Modeling: University of Pennsylvania
Portfolio Optimization using Markowitz Model: Coursera Project Network
Finance for Non-Finance Professionals: Rice University
Quantitative Foundations for International Business: University of London
Using Machine Learning in Trading and Finance: New York Institute of Finance

Habilidades que puedes aprender en Finance

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Estado Financiero (14)

Contabilidad Financiera (13)

Modelado (13)

Finanzas Corporativas (11)

Análisis Financiero (11)

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Evaluación (10)

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Preguntas frecuentes sobre Finanzas cuantitativas

Quantitative finance is the methodology of applying disciplines from mathematics, statistics, scientific computing, and finance with computer programming to financial trading and investment work. Quantitative finance allows you to build financial models that can be used for pricing a range of financial assets, including financial derivative products. You can also automate trading processes using quantitative finance. Some models even allow for solo trading without a great deal of oversight. This is achieved by setting up risk inputs, and the computer program makes trades within the limits of the risk inputs.‎
It's valuable to learn quantitative finance as you can become knowledgeable about how to analyze investment decisions while balancing asset allocation with risk management. Having this basic understanding can help you with finances in your professional and personal life. Learning quantitative finance could put you into the major leagues of financial risk management. This knowledge may help you understand the price of securities and financial derivatives. Using concepts of quantitative analysis and quantitative finance can help investors and investment clients develop and make wise decisions about their investment strategies.‎
Typical careers that use quantitative finance include financial engineer, quantitative financial analyst, derivatives trader, asset manager, fund manager, and financial risk manager. Learning about quantitative finance might help you find work in commercial banks, investment banks, securities industry companies, wealth management firms, and hedge funds. Experts in quantitative finance are also highly sought by accountancy firms, insurance companies, management consulting firms, and financial software companies.‎
When you take online courses about quantitative finance on Coursera, you could learn the fundamentals of statistical financial models, including insights into asset pricing, credit risk modeling, investment theory, algorithmic trading, and financial institutions and markets. Some of the online courses are heavily geared to learning derivatives pricing, while others spend more time and substance on machine learning, data science, and object-oriented programming.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.