Quantitative Analyst

Quantitative Analyst Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Quantitative Analyst 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)
  • R (Programming Language)
  • Quantitative Analytics
  • Machine Learning
  • Financial Modeling
  • SQL
  •  Find out what your resume's missing
  • Time Series Analysis
  • Statistical Modeling
  • Statistics
  • Derivatives
  • Visual Basic for Applications (VBA)
  • SAS
  • Fixed Income
  • Bloomberg
  • Portfolio Management
  • C++
  • Quantitative Research
  • Data Science
  • SAS Programming
  • Data Analysis
  • Credit Risk
  • Risk Management
  • Financial Analysis
  • Financial Risk
  • Microsoft Power BI

  •   Show full list

Resume Skills: Software

Resume Skills: Data Analysis

Resume Skills: Programming

Resume Skills: Quantitative Methods

  • Statistical Modeling
  • Risk Management
  • Financial Analysis
  • Data Mining
  • Time series analysis
  • Pricing Analysis
  • Financial Modeling
  • Monte Carlo Simulations
  • Regression Analysis
  • Time Series Analysis
  • Econometrics
  •  Match your resume to these skills

Resume Skills: Financial Modeling & Analysis

Resume Skills: Big Data Technologies

Resume Skills: Machine Learning Libraries

Resume Skills: Cloud Platforms

Resume Skills: Financial Modelling

  • Black-Scholes Model
  • Monte Carlo Simulations
  • Binomial Option Pricing
  • Portfolio Optimization
  • Asset Pricing
  • Risk Modelling
  • Capital Structuring
  • Corporate Finance
  •  Match your resume to these skills

Resume Skills: Financial Tools

Resume Skills: Machine Learning

Resume Skills: Languages

Resume Skills: Data Visualization

Resume Skills: Mathematical Modeling

Resume Skills: Quant Tools

Resume Skills: Statistics and Econometrics

  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 Analyst 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 Analyst 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 Analyst
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Goldman Sachs June 2018 - Present
Senior Quantitative Analyst
Led a team of 5 junior analysts using Python and R to develop financial models that aided in increasing the firm's fixed income investments by 20%.
Implemented machine learning algorithms for predictive modeling, resulting in a reduction of financial risk by 18%.
Applied advanced statistical modeling to optimize portfolio management, delivering a 15% increase in return on investments.
Enhanced the firm’s quantitative finance approach by introducing improved derivatives pricing models, contributing to a 10% increase in trading profits.
Streamlined financial data interpretation for stakeholders, using data visualization tools in Python, resulting in improved strategic decision-making.
JP Morgan January 2015 - May 2018
Quantitative Analyst
Designed and managed large-scale SQL databases, effectively improving data accuracy by 25%.
Conducted quantitative research to optimize the firm's investment strategies, driving a 12% improvement in fund performance.
Implemented time series analysis to forecast financial market trends, informing investment decisions and increasing portfolio returns by 14%.
Used MATLAB and SAS to develop asset pricing models that increased the accuracy of investment valuations by 15%.
Coached.com August 2012 - December 2014
Junior Quantitative Analyst
Mastered the use of Bloomberg tools to interpret financial market data, supporting informed investment decisions.
Engaged in Quantitative Analytics to increase accuracy in predicting market trends, yielding an 8% improvement in predictive capabilities.
Effectively applied VBA to automate tasks, subsequently increasing team efficiency by 30%.
Resume Worded University May 2018
Master of Finance
Completed thesis on Quantitative Analysis for risk management
Resume Worded Institute April 2016
Chartered Financial Analyst (CFA) - Level II
Part-time studies concurrent with full-time professional role
Financial Modeling & Analysis: Financial forecasts, budgeting, variance analysis, NPV, IRR
Data Analysis: R, SQL, Matlab, Tableau, Python (numpy, pandas, matplotlib)
Certifications: Certified Financial Risk Manager (FRM)
Conference Participation: Panel Speaker at Quantitative Analysis Annual Conference 2020
Professional Affiliations: Institute of Mathematical Statistics, American Finance Association
Your Name
Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Resume Worded March 2019 - Present
Senior Data Scientist
Spearheaded the application of R programming language and machine learning frameworks to create predictive models, reducing operational costs by 18%.
Used Python to build data visualization tools that enhanced data transparency for stakeholders and improved business decisions.
Facilitated the integration of SQL databases into data analysis workflow—increased data management efficiency by 25%.
Applied statistical modeling to analyze and interpret complex data sets, resulting in improved strategic alignment and a 15% increase in profitability.
Led a team of 3 data analysts, implementing agile methodologies to increase team productivity by 20%.
Microsoft June 2016 - February 2019
Data Scientist
Developed machine learning models in Python, humming performance by 30%.
Integrated refined financial models to improve financial forecasting precision, resulting in a 12% risk reduction.
Performed advanced quantitative analytics on large datasets, refining investment strategies and improving yields by 10%.
Automated reporting processes using SAS programming, saving approximately 15 hours of manual work per week.
Apple January 2013 - May 2016
Data Analyst
Utilized statistical analysis in MATLAB to interpret and clean complex data sets, improving data quality by 20%.
Leveraged Bloomberg tools for comprehensive market trend analysis, supporting sound investment decision-making.
Implemented VBA for automation of repetitive tasks, resulting in time savings of 10 hours per week.
Resume Worded University August 2012
Master's in Applied Mathematics
Specialized in Statistics, Machine Learning
Resume Worded Institute May 2011
Bachelor of Engineering - Computer Science
Focused course work on data structures and algorithms
Recipient of Best Project Award in Software Engineering
Programming Languages: Python, R, SQL, MATLAB, Java, Scala
Big Data Technologies: Hadoop, Apache Spark, Hive, Pig, Kafka
Machine Learning Libraries: Scikit-Learn, TensorFlow, PyTorch, Keras, XGBoost
Cloud Platforms: AWS, Google Cloud Platform, Azure, IBM Watson
Certifications: AWS Certified Big Data – Specialty (2020), Google Certified Professional Data Engineer (2019)
Projects: Developed a predictive model to improve marketing campaigns efficiency by 20% (Python, TensorFlow)
Publications: Co-authored a research paper on 'Advances in Predictive Analytics', published in Journal of Big Data (2020)
Leadership & Volunteering: Mentor at Women in Tech Initiative, encouraging and guiding women to pursue careers in data science
Your Name
Financial Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Resume Worded April 2017 - Present
Senior Financial Engineer
Led a team of 4 junior engineers to use Python and R for the development of high-yield financial models, enhancing fixed income investments by 25%.
Introduced a sophisticated derivatives pricing model, attributing to a 12% surge in trading profits.
Applied time series analysis techniques to forecast financial market trends, increasing portfolio returns by 15%.
Proficiently used SAS to optimize workflows, saving the team 15 hours per week and enhancing productivity.
Implemented machine learning algorithms, leading to an 18% decrease in financial risks.
Google March 2014 - March 2017
Financial Engineer
Mastered the use of SQL for building and managing large-scale databases, advancing data integrity by 25%.
Improved fund performance by 12% via quantitative research and financial modeling.
Deployed MATLAB for the development of asset pricing models, improving valuation accuracy by 16%.
Utilized advanced statistical techniques to inform investment strategies, resulting in 14% portfolio growth.
Coached.com December 2010 - February 2014
Junior Financial Engineer
Leveraged Bloomberg tools for data interpretation and trend analysis.
Involved in quantitative analytics, witnessing an 10% surge in forecast accuracy.
Automated routine tasks with VBA, leading to an operational efficiency increase of 25%.
Resume Worded Institute February 2014
Master of Business Administration (MBA) - Finance
Focused on Financial Engineering and Data Analysis
Resume Worded University June 2010
Bachelor of Science in Mathematics
Minors in Computer Science and Statistics
Graduated Magna Cum Laude
Financial Modelling: Black-Scholes Model, Monte Carlo Simulations, Binomial Option Pricing, Portfolio Optimization
Programming: Python (pandas, numpy), MATLAB, SQL, C++, Java, R
Data Analysis: TensorFlow, Keras, Tableau, PowerBI, Excel
Financial Tools: Bloomberg Terminal, Eikon, Factset, MSCI Barra, Moody's RiskAnalyst
Certifications: Chartered Financial Analyst (CFA) - Level III, Certified Risk Manager
Leadership & Volunteering: Financial Analysts Society - Board Member, Google Give (Volunteer) - Organizing Committee
Professional Development Courses: Advanced Data Analysis - Coursera, Artificial Intelligence in Finance - edX
Projects: Automated Trading System - Developed a system using Python and SQL for automated stock trades based on predefined strategies

How do I add skills to a Quantitative Analyst resume?

Review the job posting closely.

Go through the Quantitative Analyst posting you're applying to, and identify hard skills the company is looking for. For example, skills like Time Series Analysis, R (Programming Language) and Quantitative Analytics are possible skills. These are skills you should try to include on your resume.

Add industry skills like SQL and Quantitative Finance.

Add other common skills from your industry - such as Machine Learning, Financial Modeling and Python (Programming Language) - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Statistical Modeling, MATLAB and Microsoft Power BI - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Emphasize your ability to solve problems.

Recruiters want to know that you're the kind of person that can solve new and challenging problems. In your Quantitative Analyst resume, highlight projects that involved problems that were technically complex or mattered to the company.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Quantitative Analyst resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Use the exact job title.

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

Word Cloud for Quantitative Analyst Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Quantitative Analyst 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 Analyst Skills and Keywords to Include On Your Resume

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Quantitative Analyst 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.

Resume Example

Resume Example
Highlights (Free)

Resume Example
Modern Two-Column

Resume Example
Clean Modern

Resume Example
Entry-Level (Free)

Resume Example

Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you add to a Quantitative Analyst resume?

On top Quantitative Analyst resumes, skills like Quantitative Finance, Python (Programming Language), R (Programming Language), Quantitative Analytics, Machine Learning, Financial Modeling, SQL and Time Series Analysis appear most often.

Depending on the exact role you're applying to, skills like Statistical Modeling, MATLAB, Microsoft Power BI, Data Science and Financial Analysis 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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