Quantitative Developer Resume Example & Writing Guide

Use this Quantitative Developer resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Quantitative developers are responsible for designing and implementing complex mathematical models that are used to forecast future trends or make predictions about how certain variables will behave.

They’re also tasked with building statistical models that can help companies understand their customers, identify new opportunities, or test new products and services.

If you enjoy working with data and are comfortable with numbers, then you might be a good fit for this type of role. But before you can land your dream job, you need a resume that showcases your skills and experience in a way that will make hiring managers take notice. Here are some tips to follow plus an example to look at when writing yours.

Michael Garcia
New York City, NY | (123) 456-7891 | [email protected]

Seasoned quantitative developer with over 10 years of experience developing sophisticated financial models and algorithms. Proven ability to lead a team of developers and deliver projects on time and within budget. Seeking a challenging role in a top-tier financial institution.

Columbia University Jun '10
M.S. in Mathematics
Columbia University Jun '06
B.A. in Mathematics
Company A, Quantitative Developer Jan '17 – Current
  • Developed and implemented quantitative models to value the firm’s investment portfolio, including pricing of illiquid assets such as private equity investments and real estate.
  • Analyzed data from multiple sources (e.g., Bloomberg, FactSet) to develop financial projections for companies under consideration for an acquisition by the firm or its clients.
  • Used statistical techniques to analyze large amounts of data in order to make decisions regarding potential acquisitions/investments and developed predictive models using machine learning algorithms that can be used to forecast future performance of a company or asset class based on historical information.
  • Communicated findings through written reports and presentations with appropriate visualizations and graphics where applicable.
  • Provided support for other members of the Investment Analytics team when needed and collaborated closely with colleagues across the business units within Blackstone to ensure all analyses are consistent with overall strategy and objectives of each business unit.
Company B, Quantitative Developer Jan '12 – Dec '16
  • Developed and maintained automated data-processing scripts in Python to process large datasets (~1 TB)
  • Implemented machine learning models (random forest, gradient boosting machines, neural networks) on large datasets (~100M records)
  • Built interactive dashboards using D3 for visualizing model performance over time (~10K runs/day)
  • Improved the efficiency of existing processes by ~30% through automation and parallelization
  • Collaborated with business stakeholders to define requirements and scope projects from end-to-end
Company C, Data Analyst Jan '09 – Dec '11
  • Analyzed data from a variety of sources (e.g., CRMs, transactional systems, web analytics) to provide insights into campaign effectiveness and inform future strategy.
  • Developed dashboards using Tableau to visually display key metrics used by management for decisions (primarily on sales performance).
  • Provided analytical support for cross-functional teams including Sales, Digital Marketing, Merchandising, Finance, Operations & eCommerce Platforms through analysis of structured and unstructured business data.
  • SAS Certified Base Programmer
  • SAS Certified Advanced Programmer
  • SAS Certified Clinical Trials Programmer

Industry Knowledge: Econometrics, Financial Modeling, Financial Analysis, Monte Carlo Simulation, Financial Software, Microsoft Office
Technical Skills: MatLab, R, QuantConnect, Zipline, Python, SQL, VBA
Soft Skills: Written and Verbal Communication, Leadership, Public Speaking

How to Write a Quantitative Developer Resume

Here’s how to write a quantitative developer resume of your own.

Write Compelling Bullet Points

Quantitative developers use their technical skills to solve complex problems. But that’s not all they do. They also use their creativity to come up with new solutions to old problems. And they use their communication skills to clearly explain their solutions to non-technical stakeholders.

So when you’re writing your bullet points, be sure to include examples that demonstrate all three of these skills. For example, rather than saying you “developed new algorithms,” say you “developed new algorithms to improve customer experience by 20% by optimizing website load times.”

The second bullet point is much stronger because it provides specific details about what you did and the results of your work.

Identify and Include Relevant Keywords

When you apply for a job as a quantitative developer, your resume is likely to go through an applicant tracking system (ATS). This system scans your resume for specific keywords related to the job opening. If your resume doesn’t have enough of the right keywords, the ATS might automatically reject your application.

To increase your chances of getting an interview, make sure to include relevant keywords in your resume. You can find these keywords by reading through the job posting and including terms that are repeated throughout. Here are some common quantitative developer keywords:

  • Python (Programming Language)
  • Quantitative Finance
  • Quantitative Analysis
  • C++
  • Machine Learning
  • C (Programming Language)
  • SQL
  • R (Programming Language)
  • Java
  • Data Science
  • C#
  • Software Development
  • Statistics
  • Machine Learning Algorithms
  • Linux
  • High-Performance Computing
  • Deep Learning
  • Analytical Skills
  • Algorithms
  • HPC
  • Fixed Income
  • Portfolio Management
  • Quantitative Risk
  • Quantitative Research
  • Equities
  • Investment Banking
  • Bloomberg
  • Derivatives
  • Calculus

Showcase Your Technical Skills

As a quantitative developer, you will be working with large amounts of data and will need to be proficient in statistical analysis and data modeling. You should list any relevant programming languages, software, and platforms that you are familiar with, as well as any relevant methodologies, such as Monte Carlo simulations. Recruiters will also be looking for evidence of your problem-solving skills, so be sure to highlight any challenges you have tackled in your previous roles.


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