Skip to main content

How to Become a Quantitative Analyst in 2024

Find out everything you need to know about starting a career as a quantitative analyst, including the education, skills, and experience you’ll need.
Updated Jul 28, 2024  · 10 min read

There are many data roles in the modern workplace, many of which specialize in a particular field. One such career is that of a quantitative analyst. This role uses mathematical and statistical techniques to help organizations make financial decisions. If you’re wondering how to become a quantitative analyst, this article will explore everything you need to know. 

We'll examine what a quantitative analyst does and why it’s such a vital role and explore the level of education and skills you’ll need to enter the profession.

Quantitative analysis is part of our list of top analytics careers.

What is a Quantitative Analyst? 

A quantitative analyst is a financial professional who uses mathematical and statistical techniques to analyze and model data to help inform investment decisions. They typically work in the financial industry in risk management, portfolio management, and trading. 

Quantitative analysts (sometimes affectionately known as ‘quants’) use their skills in mathematics and statistics to help organizations make informed financial decisions. 

What does a quantitative analyst do?

As with any such data role, the specific tasks a quantitative analyst performs vary depending on their position, industry, and organization. However, some common functions that they may be involved in include:

  • Developing and implementing mathematical models to help forecast financial markets and identify investment opportunities
  • Analyzing financial data to identify trends and patterns
  • Building and testing financial trading algorithms
  • Designing and implementing risk management strategies
  • Collaborating with other professionals, such as traders and portfolio managers, to make investment decisions

As you can see, quantitative analysts work across a range of different functions and must have a broad knowledge to be successful. 

Why become a quantitative analyst?

Quantitative analysis is essential to many modern businesses. As such, there are many reasons why someone might decide to become a quantitative analyst. These include: 

  • High earning potential. Quantitative analysts often earn high salaries, especially in the financial industry. The base quantitative analyst salary in 2024 ranges from $69,000 to $147,000 per year in the US, according to data from Payscale. This varies depending on the role, organization, industry, and your experience and education. 
  • Intellectual challenge. This role involves using advanced mathematical and statistical techniques to solve complex problems, which can be intellectually stimulating for those who enjoy this type of work.
  • Impact on financial markets. As a quantitative analyst, you can have a direct impact on the financial markets and organizations' investment decisions.
  • Opportunities for career advancement. There is a high demand for quantitative analysts, and those with the right skills and experience can often advance quickly in their careers. According to LinkedIn data, at the time of writing, over 15,000 quantitative analyst jobs were being advertised in the US.
  • Variety of work. Quantitative analysts can work in various industries and organizations, and their tasks can vary depending on the specific role and company. This can provide opportunities for career diversity and growth. Financial, technology, insurance, retail, energy, media, and more industries require quantitative analysts. 

How to Become a Quantitative Analyst: 5 Steps for Success 

Here are some of the steps you’ll need to take to secure a job as a quantitative analyst. Again, these will differ depending on your existing skills, knowledge, and career ambitions. 

1. Start with your education

As you can tell from the quantitative analyst job description outlined above, this role typically requires a strong educational background. You’ll need to be comfortable with mathematics and statistics, as well as have a working knowledge of computer programming. 

For many, the career path of a quantitative analyst starts with a bachelor’s degree in mathematics, statistics, computer science, or engineering. The next step is a master’s degree in computational finance or financial engineering. Some also choose to pursue a doctorate in math or statistics. 

So, education is a good starting point if you want to be a quantitative analyst.

Many quants start by learning a programming language like R or Python, and you can take our quantitative analyst with R track and quantitative risk management in Python course to get started. If you’re totally new to the field, an introduction to statistics is also a strong starting point. 

2. Develop your skills 

Whether as part of your formal education or as your own personal project, you’ll need to work on several skills to become a successful quant. As we’ve mentioned already, you’ll need mathematics and statistics skills to develop financial models.

In addition to a firm grasp of calculus (derivatives, integrals, and optimization) and linear algebra (matrices, vectors, and linear equations), you’ll need to understand probability (random variables, distributions, and hypothesis testing) and other numerical methods. 

As well as these skills, you’ll also need: 

  • Programming skills. We’ve already covered that R and Python are useful for quantitative analysis. They can help you build and implement your models and algorithms. 
  • Critical thinking skills. As a quant, you’ll often encounter fairly complex problems. You’ll need creativity and critical thinking to overcome them, often with innovative solutions. 
  • Communication skills. Quantitative analysts work with various other professionals, such as traders and portfolio managers, to make investment decisions. You’ll need to communicate your findings and recommendations clearly and effectively, both orally and in writing.
  • Attention to detail. Given that you’ll work with large data sets, you’ll need to be able to draw conclusions from and spot patterns, errors, and inconsistencies in the data. 
  • Knowledge of financial markets. In addition to your technical and power skills, you’ll also need to be familiar with the finance world and keep up to date with trends.

Common Tools and Technologies for Quantitative Analysts

Tool/Technology Description Example use case
R A programming language used for statistical analysis and data visualization Building statistical models
Python A versatile programming language used for data analysis, modeling, and automation Developing trading algorithms
SQL A database query language used to manage and retrieve data from relational databases Extracting financial data for analysis
Excel A spreadsheet tool used for data organization and basic analysis Creating financial forecasts

3. Gain some practical experience

As with many careers in the data world, experience often counts just as much as your qualifications. If an employer sees that you already have hands-on knowledge of your role, it can give you a big boost during the application and interview process. There are several ways to gain and demonstrate such experience: 

  • Create a portfolio. We’ve got an entire article about creating a data science portfolio, and much of this advice applies to quantitative analysts too. Having a space to demonstrate your work is essential, whether it’s from your education or personal projects.
  • Work on some personal projects. You can gain experience by working on personal projects, such as building your own financial models or trading algorithms. This can provide an opportunity to apply their skills and knowledge in a self-directed setting and can also be a valuable addition to your resume or portfolio. 
  • Take an online course or challenge. Courses such as the intermediate portfolio analysis in R can allow you to advance your skills and backtest, analyze, and optimize financial portfolios.

4. Look for career opportunities 

Once you’re confident that you’re ready for a quantitative analyst job, you’ll want to start getting some insight into the types of roles that are out there. To gain some initial experience, there are a couple of routes you can consider: 

  • Internships. Many organizations, especially in the financial industry, offer internship programs for students interested in quantitative analysis. Internships can provide you with valuable hands-on experience and help you develop the skills and knowledge needed to succeed in this field.
  • Freelance or contract work. You might even be able to gain experience through part-time or contract work, such as working as a research assistant or data analyst. This can provide exposure to real-world scenarios and help you get familiar with a professional setting.
  • Networking. It’s always helpful to have a presence among other professionals in the industry. Connecting with other quantitative analysts via networking events and online tools can help you forge relationships and may lead to potential career opportunities. 

5. Work on your resume and applications

When it comes to applying for entry-level positions, there are a few things you’ll need to do. Look at some quantitative analyst job descriptions and tailor your resume to match the requirements. There are a few tips here to create a strong quantitative analyst resume: 

  • Focus on your technical skills. As a quantitative analyst, your technical skills will likely be the most important factor in your success. Be sure to highlight your proficiency in areas such as mathematics, statistics, and computer programming, and include any relevant certifications or coursework.
  • Showcase your experience. If you have previous work experience in quantitative analysis, be sure to include it on your resume. Include details about the projects you worked on, the technologies and tools you used, and the results you achieved. You should link to your portfolio, and if you have relevant internships or part-time work, include those as well.
  • Highlight your problem-solving skills. Quantitative analysis involves solving complex problems using mathematical and statistical techniques. Be sure to include examples of how you have used your problem-solving skills in previous situations, such as by developing and implementing financial models or algorithms.

Work Towards Becoming a Quantitative Analyst Today

As we’ve seen, the route to getting a job as a quantitative analyst can be quite a long one, but it can be an extremely rewarding career. The first place to start is with the skills and knowledge that are fundamental to the career, such as mathematics, statistics, and a programming language. Our quantitative analyst with R track is an ideal place to start, giving you many of the fundamentals with over 60 hours of content. 

Once you have the necessary skills, you can start working on all kinds of projects to develop your practical understanding of the field. By building a portfolio of work and getting some hands-on experience, you’ll be in a good position to find internships and entry-level positions. 

This is an exciting career with a huge amount of potential. Starting today can pay dividends for years to come. Good luck! 

FAQs

What education is necessary to become a quantitative analyst?

A career as a quantitative analyst typically requires at least a bachelor's degree in a relevant field, such as mathematics, statistics, computer science, or finance. Many employers also prefer candidates with a graduate degree, such as a master's in mathematical finance or a PhD in a related field.

What skills are important for a quantitative analyst?

A successful quantitative analyst needs strong analytical and problem-solving skills, as well as proficiency in relevant software and programming languages, such as R and Python. They should also have a good understanding of financial markets and products, as well as the ability to communicate their findings to non-technical audiences.

Are there opportunities for career advancement as a quantitative analyst?

There is a high demand for quantitative analysts, and those with the right skills and experience can often advance quickly in their careers. Many quantitative analysts start in entry-level positions and work their way up to more senior roles, such as portfolio managers or risk managers.

Do quantitative analysts get paid a lot?

Quantitative analysts often earn high salaries, especially in the financial industry. According to Indeed, the average salary for a quantitative analyst in the United States is $145,000 per year in 2024.

Which programming languages are most useful for a quantitative analyst?

Most quantitative analysts have a strong educational background in fields such as mathematics, statistics, computer science, or engineering. Typically, this includes a bachelor's degree followed by a master’s degree in computational finance, financial engineering, or a related field. Some may also pursue a doctorate in mathematics or statistics.

What kind of practical experience is valuable for aspiring quantitative analysts?

Valuable practical experience includes internships in financial firms, working on personal projects such as developing financial models or trading algorithms, and participating in relevant online courses or coding challenges. Building a strong portfolio to showcase these projects can significantly enhance job prospects.

What industries employ quantitative analysts besides the financial sector?

Besides the financial sector, quantitative analysts are employed in various industries such as technology, insurance, retail, energy, and media. Each of these industries utilizes quantitative analysis for different applications, from risk assessment and portfolio management to consumer data analysis and market forecasting.


Photo of Matt Crabtree
Author
Matt Crabtree
LinkedIn

A writer and content editor in the edtech space. Committed to exploring data trends and enthusiastic about learning data science.

Topics

Learn more about quantitative analysis with these courses!

course

Introduction to Portfolio Risk Management in Python

4 hr
24.1K
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
See DetailsRight Arrow
Start Course
See MoreRight Arrow
Related

blog

How to Become a Data Analyst in 2025: 5 Steps to Start Your Career

Learn how to become a data analyst and discover everything you need to know about launching your career, including the skills you need and how to learn them.
Elena Kosourova's photo

Elena Kosourova

20 min

Data Science Concept Vector Image

blog

How to Become a Data Scientist in 2024

Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
Jose Jorge Rodriguez Salgado's photo

Jose Jorge Rodriguez Salgado

12 min

blog

How to Become A Business Intelligence Analyst in 2024: 5 Steps For Success

Read our complete guide to becoming a business intelligence analyst in 2024, including resources to help you get started.
Joleen Bothma's photo

Joleen Bothma

10 min

blog

How to Become a Statistician in 2024

Curious about how to become a statistician? Find out what a statistician does, what you need to get started, and what you can expect from this career.
Joleen Bothma's photo

Joleen Bothma

10 min

blog

22 Data Analyst Interview Questions: How to Prepare for a Data Analyst Interview in 2024

If you are hunting for your first data analyst job or looking to move up in your career, use this guide to help prepare for your interview, practice some data analyst interview questions, and land your dream job.
Matt Crabtree's photo

Matt Crabtree

12 min

blog

How Financial Analysts can start leveraging data skills

In this article, we will look at 4 data science use cases financial analysts can start leveraging today to supplement their subject matter expertise.

Luis D'Introno

7 min

See MoreSee More