Ace the Quantitative Finance Interview

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Unlock Your Potential with FutureQuant

Quantitative finance is a lucrative but complex industry that can be challenging to break into. Our courses cover everything you need to succeed in interviews and land a six-figure job right out of university. Whether you want to be a trader, quant or developer, boost your career with FutureQuant! We cover

  • Icon Description Comprehensive Courses
  • Icon Description Programming Exercises
  • Icon Description Interview Preparation

Why Quantitative Finance?

  • High Earning Potential

    Quantitative analyst roles are known for their high financial rewards, with salaries in the financial sector being notably high.

  • Growing Demand and Opportunity

    Increasing complexity in securities and a rise in automated trading systems has boosted the demand for quantitative analysts who leverage pricing models to generate profits and minimise risks.

  • Global Scope

    Gaining experience in this field can open opportunities to work in different countries and understand global markets, which is advantageous in our increasingly interconnected world.

"In today's rapidly evolving financial landscape, the demand for quantitative traders is higher than ever before. As markets become increasingly complex and data-driven, financial institutions are actively seeking skilled professionals who can leverage advanced mathematical models and algorithms to gain a competitive edge."

Investopedia (2022)

$140,642

Average Salary for a Quantitative Analyst (US)

Indeed Careers

Our Courses

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Trading

Gain a deep understanding of the contemporary trading environment through our extensive course covering market making, quantitative analysis, and high-frequency trading.

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Maths

Technical interviews in quantitative finance require strong working knowledge of mathematical concepts such as statistics. We cover everything you need to know to ace the technical interviews.

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Coding

Quantitative traders and researchers code mathematical programs which price instruments, execute trades and analyze data. Advance your career with our coding exercises and projects.

Roadmap

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Courses
Follow our tailor-made courses, which cover everything you need to know to ace the quantitative finance interview as fast as possible.
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Programming
Discover how to build essential tools in quantitative finance, such as trading analytics, backtesting and asset pricing programs.
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Practice
Gain a strong working knowledge to solve technical interview questions rapidly. Our practice tools train you to ace interview questions.
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Interview
Explore the roles on a trading desk, learn tips and advice for interviews, and practice timed interviews with our Mock Interview tool.
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Start your career!
Use our company directory to find hiring companies that are right for you, and ace the interview!
Trading
Introduction to Trading
Begin your journey into the world of state-of-the-art trading with our introductory lesson. We cover a brief history of the quantitative finance landscape, outlining the various profitable techniques they utilise and central concepts in the space that are covered in depth later on in the course.
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Mathematics
Random Variables I
Gain essential knowledge in probability and statistics with our foundational course on discrete random variables. This will be built upon extensively in the rest of the mathematics course, ultimately positioning you to ace technical interview questions and master option pricing theory.
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Derivatives Pricing
Introduction to Options
Step into the dynamic world of options trading. In this fundamental lesson, we introduce options and determine a simple procedure we can use to discover their price mathematically. In later lessons we explore multiple ways of pricing options, culminating in the famous Black-Scholes model.
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Programming
Python in Finance
Due to it's simplicity and wide range of features, Python is used ubiquitously in the quantitative finance space. In this lesson, we outline how Python is used and what you should know to make the most of your skillset in the workplace. Later, we cover in depth tools you will build or use on a trading desk.
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