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    • Financial Engineering

    Financial Engineering Courses Online

    Master financial engineering for designing financial products and managing risk. Learn about derivatives, quantitative modeling, and financial markets.

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    Explore the Financial Engineering Course Catalog

    • Status: Free Trial
      Free Trial
      I

      INSEAD

      Blockchain Revolution

      Skills you'll gain: Blockchain, Digital Assets, Peer Review, FinTech, Intellectual Property, Business Transformation, Business Leadership, Governance, Market Opportunities, Business Planning, Technology Strategies, Corporate Sustainability, Business Analysis, Business, Competitive Analysis, Strategic Thinking, Business Modeling, Emerging Technologies, Cryptography, Identity and Access Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      CompTIA A+ Core 2 (220-1102)

      Skills you'll gain: System Configuration, Security Awareness, Mobile Security, Software Installation, Cybersecurity, Microsoft Windows, Command-Line Interface, Operating Systems, Desktop Support, Application Security, Mac OS, Unix, Unix Commands, Malware Protection, Network Administration, Network Troubleshooting, Network Support, Linux Commands, Hardware Troubleshooting, Firewall

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      F

      Fractal Analytics

      Generative AI for HR Professionals

      Skills you'll gain: Prompt Engineering, HR Tech, Generative AI Agents, Data Ethics, ChatGPT, Human Resources, Verification And Validation, Ethical Standards And Conduct, Recruitment, Employee Engagement, Talent Acquisition, Diversity and Inclusion, Compliance Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Fundamentals of Test Case Design

      Skills you'll gain: Software Testing, Test Planning, Test Case, Software Quality Assurance, Software Technical Review, Quality Assurance, Verification And Validation, Software Documentation, Requirements Analysis, Technical Communication

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Master Compliance with MS 365 Copilot: EU Law

      Skills you'll gain: Compliance Management, Microsoft Copilot, Regulation and Legal Compliance, Legal Risk, Compliance Reporting, General Data Protection Regulation (GDPR), Microsoft 365, Audit Working Papers, Process Design, Workflow Management, Business Workflow Analysis, Automation, Prompt Engineering

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      268 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Full-Stack Developer Capstone Project

      Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Performance Tuning, .NET Framework, Application Programming Interface (API), Cloud Development, Data Modeling, Development Environment, Cloud Applications, Software Development Tools, Object-Relational Mapping, Application Deployment, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Back-End Web Development, Cloud Platforms

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Content Creation for TikTok, YouTube, Instagram, Facebook

      Skills you'll gain: Instagram, Facebook, Video Production, Social Media Content, Storytelling, Content Creation, Social Media Management, Social Media, Web Analytics and SEO, Content Performance Analysis, Social Media Strategy, Search Engine Optimization, Photography, Branding, Content Strategy, Social Media Campaigns, Drive Engagement, Brand Awareness, Photo/Video Production and Technology, Community Development

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Criar embeddings, pesquisa vetorial e RAG com o BigQuery

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Google Cloud Platform, Big Data

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Modern HTML & CSS

      Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Responsive Web Design, Web Development Tools, Hypertext Markup Language (HTML), Web Design, Development Environment, Web Design and Development, Web Development, Front-End Web Development, Semantic Web, Web Content Accessibility Guidelines, Typography

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      CompTIA Security+ (SY0-701)

      Skills you'll gain: Security Controls, Vulnerability Management, Identity and Access Management, IT Security Architecture, Incident Response, Threat Management, Endpoint Security, Cloud Security, Governance Risk Management and Compliance, Security Management, Cybersecurity, Risk Management, Compliance Management, Risk Appetite, Network Security, Threat Detection, Cyber Threat Intelligence, Zero Trust Network Access, Cyber Attacks, Risk Analysis

      Intermediate · Specialization · 1 - 3 Months

    Financial Engineering learners also search

    Financial Management
    Financial Analysis
    Financial Modeling
    Financial Accounting
    Financial Trading
    Finance
    Financial Planning
    Business Finance
    1…484950…386

    In summary, here are 10 of our most popular financial engineering courses

    • Blockchain Revolution: INSEAD
    • CompTIA A+ Core 2 (220-1102): Packt
    • Build RAG Applications: Get Started: IBM
    • Generative AI for HR Professionals: Fractal Analytics
    • Fundamentals of Test Case Design: Board Infinity
    • Master Compliance with MS 365 Copilot: EU Law: Coursera Instructor Network
    • Start Writing Prompts like a Pro: Google
    • Full-Stack Developer Capstone Project: Microsoft
    • Content Creation for TikTok, YouTube, Instagram, Facebook: Coursera
    • Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud

    Skills you can learn in Finance

    Investment (23)
    Market (economics) (20)
    Stock (18)
    Financial Statement (14)
    Financial Accounting (13)
    Modeling (13)
    Corporate Finance (11)
    Financial Analysis (11)
    Trading (11)
    Evaluation (10)
    Financial Markets (10)
    Pricing (10)

    Frequently Asked Questions about Financial Engineering

    Financial engineering is an interdisciplinary field that combines applied mathematics, statistics, and computer science to guide investment decisions. While finance has always emphasized quantitative analysis, today’s technology has made it possible to apply these approaches at an unprecedented scale and speed. Massive datasets are now delivered via hardwired internet connections into financial modeling programs built in software like Solver in Microsoft Excel, or even machine learning tools created through Python programming or other techniques.

    The power of financial engineering has made it incredibly important for trading, portfolio optimization and risk management, valuation of derivatives and real options, and a host of other purposes at virtually all of today’s largest financial institutions. Indeed, it has been estimated that as much as 80% of the activity on the U.S. stock market today is computer-led algorithmic trading, making the use of financial engineering absolutely essential to competitiveness in the market.

    By automating financial decision-making, these approaches have unquestionably created enormous value for the firms deploying them. However, the prominence of financial engineering has caused some economists to question whether it is contributing to market volatility during financial turbulence, including the COVID-19 crisis, even if many others claim that it has a positive effect on market liquidity. Regardless, financial engineering is here to stay, making it a critical topic to understand for any finance professional.‎

    Today, any career in finance requires at least a familiarity with financial engineering. Whether you go to work at an investment bank, a hedge fund, an insurance company, or in government treasuries or regulatory agencies, these techniques will continue to shape the landscape of your job. Thus, understanding how to use financial engineering approaches and how they impact financial problems is a valuable asset regardless of your role in this industry.

    If you have a particular talent for applied mathematics and computer science, you can pursue a lucrative career in financial engineering yourself, as quantitative analysts or “quants” are some of the most highly sought after professionals in the industry. “Back office” quants generally build and validate complex financial engineering tools, while “front office” quants work directly with traders to help them deploy the pricing and trading tools they need.‎

    Absolutely. Coursera offers a wide range of courses in financial engineering as well as related areas of this interdisciplinary field, including business, computer science, and mathematics and statistics. These courses as well as multi-course Specializations are offered by some of the top undergraduate and business schools in the country, including Columbia University, Yale University, and the University of Pennsylvania.

    In addition to being able to learn remotely on your own schedule, these courses are also available at a significantly lower tuition than their on-campus counterparts. Thus, you won’t need a spreadsheet to determine that learning about financial engineering online is a smart investment in your future, whether you’re just starting your career or are an experienced finance professional looking to update your understanding of this vital topic.‎

    The skills and experience that you might need to already have before starting to learn financial engineering include a healthy knowledge of mathematics, statistics, economics, and computer science. These aspects come together in financial engineering, which uses financial theory to solve financial problems and to create new financial products. As you begin to learn about financial engineering, you’ll see that a background or knowledge in data science and data management is also very important for the work involved in areas like statistics, indices, quadratic equations, functions, and graphs. Knowing how to use your mathematics and statistics knowledge in building financial models could also be a benefit to learning financial engineering.‎

    The kind of people that are best suited for work that involves financial engineering are those who are data geeks, quantitative analysts, and other numbers-focused practitioners. These people may have already gained experience and skills from working in corporate finance, risk management, stock trading, and financial regulation. Being comfortable with spreadsheets, financial theories, computer programming, and financial models is likely a key requisite for work that involves financial engineering. Aside from these hard skills that are required, the kind of persons best suited for financial engineering work might also be analytically-minded, with a keen attention to details, and the ability to extract and communicate complex statistical information into common-sense problem solving.‎

    You might know if learning financial engineering is right for you if you have interest and knowledge of financial theories and financial methods. Having a quantitative analysis background and numbers-focused skills may help you find a career in financial engineering. If you’re the person who reads financial statements and digs into computer-based financial models to figure out financial strategies, then becoming involved with work in financial engineering may be a great fit for you. Combining all your knowledge of data and statistics in this area may help you to achieve future success in financial engineering jobs.‎

    Online Financial Engineering courses offer a convenient and flexible way to enhance your knowledge or learn new Financial Engineering skills. Choose from a wide range of Financial Engineering courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Financial Engineering, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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