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Finance Quantitative Analyst skills for your resume and career

Updated January 8, 2025

4 min read

Quoted Experts

David Feldman Ph.D.,

Dhruba Banjade

Below we've compiled a list of the most critical finance quantitative analyst skills. We ranked the top skills for finance quantitative analysts based on the percentage of resumes they appeared on. For example, 22.4% of finance quantitative analyst resumes contained python as a skill. Continue reading to find out what skills a finance quantitative analyst needs to be successful in the workplace.

15 finance 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 finance quantitative analysts use python:

Developed efficient analytic tool using Python and VBA to model relationship between spread and excess return volatility.
Developed a statistical analysis tool in Python to optimize Gas emergency response staffing requirements.

2. 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 finance quantitative analysts use risk management:

Pan India Topper - Risk Management Certification Program & Winner - BACI Bankers' Writing Challenge
Provided onsite and phone support for clients using sophisticated pricing and risk management software.

3. SQL

Here's how finance quantitative analysts use sql:

Maintained SQL data warehouse: introduced and supervised changes, immediately troubleshot every system bug.
Moved data sources to MS SQL platform, integrated and simplified data models and designed effective tools to perform journal entries.

4. 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 finance quantitative analysts use sas:

Support presentations with supporting analysis, assumptions, calculations and conclusions Skills Used SAS and VBA programming, modeling, statistical analysis
Developed Fitch's US banks, credit unions and thrifts quantitative rating model using SAS and Excel VBA.

5. Governance

Governance is the means by which countries or organizations are overseen or controlled by their leaders. This may be through laws, regulations, policies and processes that guide behaviour in a way that upholds the principles defined by the leaders. Often, they come with consequences for breach and reward for implementation.

Here's how finance quantitative analysts use governance:

Led efforts for PPNR Data Governance and created models for PPNR-Markets
Maintained an online survey tool which provided clients an assessment of their benefits governance structures using C# andASP.NET.

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 finance quantitative analysts use c++:

Programmed own financial trading systems in MetaTrader(similar to C++) .
Analyzed China A 600 Sector Indices in use of ultrametric cluster method; created Minimal Spanning Tree and HierarchicalTree by C++.

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7. Credit Risk

Credit risk entails the risk experienced by a lender from the possibility of losing money due to a borrower failing to repay or meet their obligations set out in a loan contract. Credit risk manifests in many forms including loans (the most popular), letters of credit, foreign exchange and lines of credit.

Here's how finance quantitative analysts use credit risk:

Work with other analysts in the Credit Risk organization to complete Ad Hoc reporting requests.
Performed diagnostic analysis on credit risk deterioration and isolated key geographic areas and other factors as main sources for the deterioration.

8. CCAR

Here's how finance quantitative analysts use ccar:

Build CCAR and EST models for PPNR-Markets, AFS-HTM, and MTM-ALM in Corporate Treasury and Corporate Investment portfolios.
Enhanced Wholesale Credit business adjustments/overlays for CCAR and DFAST estimation and forecasting process from the previous years.

9. VBA

Visual Basic for Applications or, as it is commonly shortened to, VBA is a certain method of using Microsoft's event-driven programming language known as Visual Basic.

Here's how finance quantitative analysts use vba:

Leveraged Excel VBA to process transaction data for detecting anti-money laundering activities.
Developed position management system using Microsoft Access and VBA.

10. MATLAB

Here's how finance quantitative analysts use matlab:

Utilized Matlab and Excel for financial modeling and analysis.
Implemented time series models, including ARMA, ARIMA and GARCH, in Matlab.

11. Balance Sheet

Here's how finance quantitative analysts use balance sheet:

Streamlined monthly operating performance consolidation and analysis reports including profit and loss, balance sheet and cash flow information.
Prepared, analyzed and provided reporting on monthly balance sheet marketing accrual account reconciliation.

12. 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 finance quantitative analysts use quantitative analysis:

Performed quantitative analysis on large data sets to better understand the relationship between business performance variables.
Performed quantitative analysis on 500 stocks by comparing historical prices, trends and sustainability performance.

13. Derivative

Here's how finance quantitative analysts use derivative:

Worked closely with bank s traders, quantitative trading strategists and valuation review group to resolve derivative pricing issues.
Consulted corporate treasuries, external auditors, and banks on exotic derivatives and their sensitivities to market changes.

14. 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 finance quantitative analysts use model validation:

Performed model validation assessing model theory, inputs/assumptions, implementation, outputs and reports, and overall controls.
Conducted stationary testing for model validation and plotted predicted results of new time-series models.

15. Calculation

Here's how finance quantitative analysts use calculation:

Investigated and implemented different volatility calculation methods (Yang-Zhang, Garman-Klass, Rogers-Satchell, and Parkinson) for realized volatility estimation.
Examined overall theoretical construction, key assumptions, data quality, data processing, and specific mathematical calculations.

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What skills help Finance Quantitative Analysts find jobs?

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

What skills stand out on Finance Quantitative Analyst resumes?

David Feldman Ph.D.

Professor of Urban Planning and Public Policy and Political Science, Director, Water UCI, Director, MPP Program, University of California, Irvine

Succinct writing, critical thinking, strong quantitative analytical skills.

What Finance Quantitative Analyst skills would you recommend for someone trying to advance their career?

Dhruba Banjade

Assistant Professor in Finance & Department Chair of Business Analysis

Everyone's career journey is unique and different. As a finance professor, I suggest a few things to graduates beginning their careers.
i. Learning is a continuous process and essential. Even after graduation, learn and enhance new skills. The person must be familiar with the latest industry trends.
ii. Building a good network helps with career development. I suggest attending industry events and connecting with many friends and colleagues on social networks such as LinkedIn.
iii. I further suggest to improve verbal and written communication. It helps in career development.
iv. Understanding basic financial principles is essential. For example, the person must be familiar with economic and income statement analyses, budgeting, profit/loss, and savings.

What type of skills will young Finance 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 finance quantitative analyst skills to add to your resume

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

Python
Risk Management
SQL
SAS
Governance
C++
Credit Risk
CCAR
VBA
MATLAB
Balance Sheet
Quantitative Analysis
Derivative

Model Validation
Calculation
Fixed Income
Statistical Techniques
Regression
Statistical Analysis
VAR
Securities
Sensitivity Analysis
Financial Models
LGD
Treasury
Commodities

Bloomberg
Interest Rates
R
Historical Data
Equities
Bonds
Scenario Analysis
Financial Statements
Data Collection
Financial Data
ALM

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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