Life As a Financial Quantitative Analyst
Job Description & Duties Develop quantitative financial products used to inform individuals or financial institutions engaged in saving, lending, investing, borrowing, or managing risk. Investigate methods for financial analysis to create mathematical models used to develop improved analytical tools or advanced financial investment instruments.
Financial Quantitative Analyst Responsibilities
- Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.
- Research new financial products or analytics to determine their usefulness.
- Provide application or analytical support to researchers or traders on issues such as valuations or data.
- Prepare requirements documentation for use by software developers.
- Maintain or modify all financial analytic models in use.
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Skills Needed to be a Financial Quantitative Analyst
Below is a list of the skills most Financial Quantitative Analysts say are important on the job.
Mathematics: Using mathematics to solve problems.
Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
Reading Comprehension: Understanding written sentences and paragraphs in work related documents.
Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Active Listening: Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
Speaking: Talking to others to convey information effectively.
Related Job Titles
- Quantitative Researcher
- Quantitative Model Analyst
- Financial Quantitative Analyst
- Applied Research Director
- Quantitative Model Validation Analyst
What Kind of Financial Quantitative Analyst Job Opportunities Are There?
In the United States, there were 135,900 jobs for Financial Quantitative Analyst in 2016. New jobs are being produced at a rate of 9.6% which is above the national average. The Bureau of Labor Statistics predicts 13,100 new jobs for Financial Quantitative Analyst by 2026. There will be an estimated 13,100 positions for Financial Quantitative Analyst per year.
The states with the most job growth for Financial Quantitative Analyst are Utah, Nevada, and Arizona. Watch out if you plan on working in South Dakota, Maryland, or Alaska. These states have the worst job growth for this type of profession.
Financial Quantitative Analyst Salary
The salary for Financial Quantitative Analysts ranges between about $38,030 and $123,360 a year.
Financial Quantitative Analysts who work in District of Columbia, Virginia, or Illinois, make the highest salaries.
How much do Financial Quantitative Analysts make in each U.S. state?
|State||Annual Mean Salary|
|District of Columbia||$107,760|
What Tools do Financial Quantitative Analysts Use?
Below is a list of the types of tools and technologies that Financial Quantitative Analysts may use on a daily basis:
- Microsoft Excel
- Microsoft Office
- Microsoft PowerPoint
- Web browser software
- Microsoft Access
- Microsoft Visio
- Structured query language SQL
- The MathWorks MATLAB
- Microsoft Dynamics
- Microsoft Visual Basic
- IBM SPSS Statistics
- Microsoft SQL Server
- Oracle JD Edwards EnterpriseOne
- Practical extraction and reporting language Perl
How do I Become a Financial Quantitative Analyst?
Education needed to be a Financial Quantitative Analyst:
What work experience do I need to become a Financial Quantitative Analyst?
Where do Financial Quantitative Analysts Work?
Below are examples of industries where Financial Quantitative Analysts work:
Image Credit: Dave Dugdale via Creative Commons Attribution-Share Alike 2.0 Generic
More about our data sources and methodologies.
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