Quantitative Developer

Quantitative Developer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Quantitative Developer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Quantitative Finance
  • Python (Programming Language)
  • Machine Learning
  • Algorithmic Trading
  • Trading Systems
  • Derivatives
  • R (Programming Language)
  • C++
  • SQL
  • Credit Derivatives
  • Fixed Income
  • C#
  • Financial Modeling
  • NumPy
  • Equity Derivatives
  • Java
  • Electronic Trading
  • Algorithms
  • Linux
  • Software Development
  •   Show full list

Resume Skills: Statistical Analysis

  • Monte Carlo Methods
  • Time Series Analysis
  • Stochastic Calculus
  • Partial Differential Equations
  • Optimization Techniques
  • Risk Management
  • Econometrics
  • Monte Carlo Simulations
  • Quantitative Risk Modelling
  • Black Scholes Model
  • Stress Testing
  • VAR
  • R
  • Machine Learning (Supervised and Unsupervised)
  • Regression Models
  • Hypothesis Testing

Resume Skills: Programming

  • Python (Pandas, Numpy, Scipy)
  • SQL
  • Java
  • C++
  • MATLAB
  • R
  • TensorFlow
  • PyTorch
  • Stata
  • Python (pandas, NumPy)
  • SAS
  • Excel
  • Bloomberg Terminal
  • Python

Resume Skills: Operating Systems

  • Windows
  • Linux
  • UNIX

Resume Skills: Libraries & Frameworks

  • Scikit-learn
  • Keras
  • Plotly
  • Matplotlib

Resume Skills: Data Analysis

  • SAS
  • Excel
  • Tableau
  • RapidMiner
  • BigQuery
  • PowerBI

Resume Skills: Quantitative Methods

  • Machine Learning
  • Statistical Modeling
  • Regression Analysis
  • Data Mining
  • Probability Theory

Resume Skills: Financial Tools

  • Bloomberg Terminal
  • MetaTrader
  • TradeStation
  • Eikon
  • FactSet

Resume Skills: Derivatives & Investments

  • Options
  • Futures
  • Swaps
  • Mortgage-Backed Securities
  • Mutual Funds
  • ETFs
  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Quantitative Developer Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Quantitative Developer Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Quantitative Developer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2020 - Present
Senior Quantitative Developer
Engineered a high-frequency algorithmic trading system with Python and Java, enhancing trading efficiency by 25%
Implemented extensive machine learning models, improving prediction accuracy for equity derivatives pricing by 32%
Developed a quantitative finance analytical tool with Python and R, which increased fixed income portfolio performance by 12%
Supervised a cross-functional team of 10, ensuring adherence to software development best practices and accelerating product release by 20% ahead of schedule
Designed SQL based data querying interfaces, expediting data extraction process by 35%
JP Morgan July 2017 - December 2019
Quantitative Developer
Created a C++ based trading application, triggering a 15% increase in algorithmic trading
Applied machine learning techniques for financial modeling, enhancing investment predictions accuracy by 18%
Developed and implemented advanced quantitative algorithms for credit derivatives pricing, leading to a 20% trading volume increase
EDUCATION
Resume Worded Academic Center June 2017
Master of Science in Financial Engineering
Specialization in Quantitative Finance
Resume Worded University May 2015
Bachelor of Science in Computer Science and Mathematics
Minors in Economics and Statistics
Graduated Cum Laude
SKILLS
Programming & Software: Python (Pandas, Numpy, Scipy), SQL, Java, C++, MATLAB, R, TensorFlow, PyTorch, Stata
Quantitative Analysis & Modeling: Monte Carlo Methods, Time Series Analysis, Stochastic Calculus, Partial Differential Equations, Optimization Techniques, Risk Management, Econometrics
Operating Systems: Windows, Linux, UNIX
Libraries & Frameworks: Scikit-learn, Keras, Plotly, Matplotlib
OTHER
Certifications: Certified Financial Analyst (CFA) - Level II, Certified Machine Learning Practitioner
Publications & Presentations: Presenter at International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, 2 Published papers in Journal of Quantitative Finance
Continued Learning: Complete several online courses in Python for Data Analysis and Computational Finance
Leadership Experience: Vice President of SWE Resume Worded Student Chapter, Organized Hackathons at JP Morgan
Your Name
Quantitative Financial Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com April 2020 - Present
Quantitative Financial Analyst
Employed NumPy and Python for complex numerical analysis, improving efficiency of financial models by 28%
Utilized machine learning for electronic trading predictions, reducing trade errors by 15%
Streamlined SQL-based data extraction processes to enhance trading systems efficiency by 22%
Developed a risk management model using R and C#, reducing company’s financial risk by 14%
Employed critical algorithms for derivatives pricing, streamlining the trading process and increasing trading volume by 17%
Goldman Sachs January 2018 - March 2020
Financial Analyst
Developed a financial model using C++ and Python, improving trading strategy effectiveness by 25%
Implemented an algorithmic trading system, which boosted trading volumes by 18%
Established robust SQL-based data querying tools, improving trading decision-making efficiency by 20%
EDUCATION
Resume Worded University May 2017
Master of Business Administration - Finance
Concentration in Quantitative Finance
Resume Worded Academic Center July 2016
Certified Financial Analyst (CFA) - Level III
Completed the CFA Program to enhance understanding of advanced investment analysis and real-world portfolio management skills
SKILLS
Financial Modelling & Analysis: Stochastic Calculus, Monte Carlo Simulations, Quantitative Risk Modelling, Black Scholes Model, Stress Testing, VAR
Programming & Software: Python (pandas, NumPy), MATLAB, SAS, Excel (Advanced), SQL, Bloomberg Terminal
Statistical Analysis: R, Machine Learning (Supervised and Unsupervised), Regression Models, Time Series Analysis, Hypothesis Testing
Derivatives & Investments: Options, Futures, Swaps, Mortgage-Backed Securities, Mutual Funds, ETFs
OTHER
Certifications: Professional Risk Manager (PRM) Certification - International Association of Professional Risk Managers (IAPRM)
Professional Affiliations: Member of the CFA Institute and Global Association of Risk Professionals
Continuing Education: Regular attendee of FinTech and Quantitative Finance Workshops and Conferences
Volunteering: Mentor - Resume Worded Institute's Finance Internship Program
Your Name
Algorithmic Trader
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded February 2019 - Present
Senior Algorithmic Trader
Integrated machine learning models in the existing algorithmic trading system, improving trade prediction accuracy by 30%
Constructed and improved quantitative algorithms with R and Java, leading to an increase in trading volume by 27%
Developed risk management models using Python and C#, minimizing financial risk by 22%
Led a cross-functional team of 7 in the development of a Linux based trading application, fast-tracking the product’s market launch by six months
Innovated a complex trade prediction model using SQL, which bettered trading strategy efficiency by 32%
Citigroup August 2015 - January 2019
Algorithmic Trader
Led the creation of a C++ based high-frequency electronic trading system, increasing trading efficiency by 23%
Used advanced quantitative strategies for equity derivatives pricing, augmenting trading volume by 15%
Developed a SQL-based data extraction tool, boosting decision-making efficiency by 18%
EDUCATION
Resume Worded University May 2015
Master of Business Administration - Finance
Awards: Dean's List 2015 (Top 10%)
Resume Worded Institute May 2013
Bachelor of Science - Applied Mathematics
Specialized in Statistics and Data Science
Graduated Cum Laude
SKILLS
Programming: Python, C++, Java, SQL, R, MATLAB
Data Analysis: SAS, Excel, Tableau, RapidMiner, BigQuery, PowerBI
Quantitative Methods: Machine Learning, Statistical Modeling, Regression Analysis, Data Mining, Probability Theory
Financial Tools: Bloomberg Terminal, MetaTrader, TradeStation, Eikon, FactSet
OTHER
Certifications: Chartered Financial Analyst (CFA) - Level III, Bloomberg Market Concepts Certification
Publications & Research: Co-authored 'Trends in Algorithmic Trading' in Quantitative Finance Journal
Projects: Developed a proprietary trading system based on complex mathematical models, resulted in 15% ROI

How do I add skills to a Quantitative Developer resume?

1
Review the job posting closely.

Go through the Quantitative Developer posting you're applying to, and identify hard skills the company is looking for. For example, skills like Quantitative Finance, Trading Systems and Derivatives are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like R (Programming Language) and Machine Learning.

Add other common skills from your industry - such as C++, Algorithmic Trading and Python (Programming Language) - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like SQL, Electronic Trading and Linux - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Use the exact job title.

Try to add the exact job title, Quantitative Developer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Quantitative Developer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Quantitative Developer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Quantitative Developer Skills and Keywords to Include On Your Resume

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Quantitative Developer Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

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Frequently Asked Questions

What skills should you put on a Quantitative Developer resume?

On top Quantitative Developer resumes, skills like Quantitative Finance, Python (Programming Language), Machine Learning, Algorithmic Trading, Trading Systems, Derivatives, R (Programming Language) and C++ appear most often.

Depending on the exact role you're applying to, skills like Fixed Income, Electronic Trading, Linux, Java and SQL can also be effective keywords to include on your resume.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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