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Quantitative Science Jobs in Texas (NOW HIRING)

Wsgr

Transactional Quantitative Analyst

Austin, TX · On-site +1

$63.34 - $85.70/hr

Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth ... The Transactional Quantitative Analyst will handle analytical projects to assist in structuring and ...

USAA

Decision Science Analyst Lead

San Antonio, TX · On-site

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. * Translates ...

New

USAA

Decision Science Analyst Lead

San Antonio, TX · On-site

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. * Translates ...

New

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Quantitative Science information

See Texas salary details

$91.3K

$158.1K

$241.8K

How much do quantitative science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative science in Texas is $158,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $185,400.00 per year, depending on experience, location, and employer.

What does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming tools to solve complex problems. They often work in finance, research, or technology sectors, developing algorithms and predictive models to inform decision-making.

What is a Quantitative Science job?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are the key skills and qualifications needed to thrive in the Quantitative Science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts, often referred to as quants, for roles in trading, risk management, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often hold advanced degrees in quantitative fields. The firm offers opportunities for quants to work with sophisticated models and tools like Python, R, and MATLAB.

What are some typical projects or tasks a Quantitative Science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What careers use quantitative research?

Quantitative science careers include roles such as data analyst, quantitative analyst, financial analyst, research scientist, and data scientist. These positions involve analyzing numerical data, developing models, and using tools like statistical software and programming languages such as Python or R to inform decision-making across industries like finance, healthcare, technology, and academia.

What are some quant jobs?

Quantitative science jobs include roles such as quantitative analyst, data scientist, quantitative researcher, risk analyst, and algorithm developer. These positions typically require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB. They are common in finance, technology, and research institutions.
What are popular job titles related to Quantitative Science jobs in Texas? For Quantitative Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Science jobs in Texas look for? The top searched job categories for Quantitative Science jobs in Texas are:
Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in Texas as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $158,128 per year, or $76 per hour.
Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Goldman Sachs

Dallas, TX

Other

Re-posted 2 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

Job Overview: 

The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with traders, portfolio managers, and other stakeholders to streamline reporting identify areas where quantitative analysis can provide insights and support decision-making. 

Key Responsibilities:

  • Coverage all aspects of private business, with focus on validation, streamlining and reporting for illiquid and semi-liquid funds
  • Develop and implement quantitative models and algorithms to support trading and investment strategies
  • Conduct statistical and mathematical analysis of financial data to identify patterns and trends
  • Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
  • Communicate results and findings to stakeholders in a clear and concise manner
  • Stay current with industry developments and new technologies

Qualifications:

  • Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.
  • Strong programming skills in at least one language such as Python, C++ or Java
  • Strong understanding of mathematical and statistical concepts, especially in finance
  • Strong problem-solving skills and the ability to think critically
  • Excellent communication skills and the ability to work well in a team environment
  • Experience and interest in financial markets, risk management and portfolio management

Experience:

  • Minimum of 2+ years of experience in a quantitative role in a financial services company
  • Background in equity or credit preferred
  • Full stack development or Secdb/Slang experience preferred
 
 
ABOUT GOLDMAN SACHS
 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 
 
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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