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Quantitative analyst skills for your resume and career

Updated January 8, 2025

3 min read

Quoted experts

Kim Tan Ph.D.,

Dr. Reid Cummings

Below we've compiled a list of the most critical quantitative analyst skills. We ranked the top skills for quantitative analysts based on the percentage of resumes they appeared on. For example, 13.4% of quantitative analyst resumes contained python as a skill. Continue reading to find out what skills a quantitative analyst needs to be successful in the workplace.

15 quantitative analyst skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how quantitative analysts use python:

Developed a statistical analysis tool in Python to optimize Gas emergency response staffing requirements.
Developed a differential evolution optimizer to do the model calibration using Python.

2. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how quantitative analysts use sas:

Utilized statistical analysis with SAS programming: * Multivariate analysis * Regression analysis * Time-series * Cluster analysis.
Replicate vendor generated monitoring report with SAS produced report for automating the process.

3. Risk Management

Risk management is the method of recognizing, evaluating, and managing risks to an organization's resources and profits. Financial insecurity, regulatory liability, strategic management mistakes, incidents, and natural hazards are just some of the challenges or dangers that could arise. For digitalized businesses, IT security vulnerabilities and data-related threats, as well as risk management techniques to mitigate them, have become top priorities.

Here's how quantitative analysts use risk management:

Designed, developed and tested portfolio allocation optimization and risk management application modules for trading software using CAPM nonlinear methodology.
Support portfolio managers with their risk management needs by providing hedging strategy analysis, sensitivity analysis.

4. Model Development

Here's how quantitative analysts use model development:

Lead model development and model validation related initiatives to enable enterprise-level monitoring and management of the Bank's wholesale lending portfolio.
Participated in the model development of CCAR Commercial Asset Quality and Loss Forecast model and market risk model.

5. Statistical Models

Here's how quantitative analysts use statistical models:

Maintained and validated response and loss-ratio statistical models to predict potential customers for direct-mail marketing campaigns.
Build statistical models to determine potential predictability of data versus company reported metrics.

6. C++

C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions

Here's how quantitative analysts use c++:

Developed Hybrid Probability of Default model for corporate default prediction using Merton s Structural Model and Binomial Logistic Regression using C++.
Implemented and maintained complex pricing models in a real-time trading system for financial derivatives encompassing quantitative algorithms and C++ design.

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7. MATLAB

Here's how quantitative analysts use matlab:

Created a programming framework for Black-Litterman asset allocation model using MATLAB; Back-tested B-L model to find optimal model parameters.
Developed and implemented GLM regression models with statistical modeling tools like R and MATLAB to calculate EC rate.

8. Data Analysis

Here's how quantitative analysts use data analysis:

Enhanced Bulk Acquisition process by automating data analysis, reporting while updating procedures.
Performed statistical and data analysis and data integrity analysis on multiple systems.

9. Regression

Here's how quantitative analysts use regression:

Developed predictive models using logistic regression and CHAID to target existing and prospective customers for catalog mailing events and online campaigns.
Developed in Excel/VBA pricing models for American style options valuation: Heston models, path-dependent regression methodology with Monte-Carlo simulations.

10. Model Validation

Model validation is a process of verifying that models are performing their intended purpose and checking the performance and accuracy of the model basis on previous data for which actuals are already gotten.

Here's how quantitative analysts use model validation:

Conducted stationary testing for model validation and plotted predicted results of new time-series models.
Validate the Model and created Model Validation Report for Bank of America's Fraud strategy on retail credit/debit card business segment.

11. PowerPoint

Here's how quantitative analysts use powerpoint:

Developed high-level PowerPoint presentations for senior management, effectively communicating actionable business information.
Assisted head of Business Analysis with multiple high level projects, including data gathering and PowerPoint presentations.

12. Statistical Analysis

Here's how quantitative analysts use statistical analysis:

Supported firm principals with the evaluation and selection of statistical analysis and portfolio risk analysis software.
Collaborated in developing statistical analysis models for stock selection over global equity markets.

13. Tableau

Here's how quantitative analysts use tableau:

Developed and published interactive Tableau report for merchant risk monitoring.
Developed metrics for measuring business performance and built Tableau dashboards for reporting which reduced the 8 employee hours/week.

14. Quantitative Analysis

Quantitative analysis, QA, is a technique that relies on data and uses mathematical and statistical models to collect, evaluate, and analyze data points to understand behavior or condition.

Here's how quantitative analysts use quantitative analysis:

Performed quantitative analysis on 500 stocks by comparing historical prices, trends and sustainability performance.
Supported the executive team by conducting quantitative analysis to track and monitor operations performance.

15. Derivative

Here's how quantitative analysts use derivative:

Recommended the best model for computing derivative market values in different interest rate environment.
Implemented various numerical and closed form extensions of Black-Scholes model for equity derivatives.

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What skills help Quantitative Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What quantitative analyst skills would you recommend for someone trying to advance their career?

Kim Tan Ph.D.

Professor, Accounting, Chair, California State University - Stanislaus

Travel abroad. Study/work on some certification to learn new/related skills (MOOC). Volunteer work. Work to help support the family. Prepare for graduate school. Work at a lower-level job in an organization they are interested in.

What type of skills will young quantitative analysts need?

Dr. Reid Cummings

Associate Professor of Finance & Real Estate, University of South Alabama

As computing systems continue to advance and evolve, and as artificial intelligence becomes more prevalent in data analytics, the ability to work with a variety of data manipulation, analysis, and presentation platforms will become increasingly important. Equally, a focus on improving critical thinking and communication skills, and the abilities to present outcomes, analysis, and ideas in a succinct, cogent, and logical fashion, will largely differentiate those who will succeed at a high level from everyone else.

Do you want to know more?

List of quantitative analyst skills to add to your resume

The most important skills for a quantitative analyst resume and required skills for a quantitative analyst to have include:

Python
SAS
Risk Management
Model Development
Statistical Models
C++
MATLAB
Data Analysis
Regression
Model Validation
PowerPoint
Statistical Analysis
Tableau
Quantitative Analysis
Derivative
Credit Risk

Math
Econometrics
Quantitative Models
CCAR
Time Series Analysis
Visualization
Java
DFAST
Portfolio Risk
Monte Carlo
R
PD
Quantitative Research
SQL Server
Series Analysis
Fixed Income

LGD
Risk Models
Model Performance
Predictive Models
Financial Models
Capital Markets
FX
Treasury
Macro
Securities
Calculation
Statistical Methods
Portfolio Construction
Market Data
Equities

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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