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Senior Quantitative Developer Jobs in Texas (NOW HIRING)

Senior Python Developer - w2

Spring, TX · On-site

$108K - $145K/yr

Job Title:- Senior Python Developer Location:- Spring Texas (On-Site) Job Type:- Long Term Contract ... Bachelor's degree in computer science, engineering, quantitative sciences, or mathematics ...

Senior Developer

Austin, TX · On-site

$180K - $200K/yr

The Senior Developer, Affordable Housing, supports all aspects of affordable housing acquisitions ... Strong quantitative, financial analysis and modeling (excel) skills. * Exceptional research and ...

Showing results 21-40

Senior Quantitative Developer information

See Texas salary details

$123.6K

$152K

$171.9K

How much do senior quantitative developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior quantitative developer in Texas is $152,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,709.00 and $163,574.00 per year, depending on experience, location, and employer.

What is a senior quantitative developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

What are the key skills and qualifications needed to thrive as a senior quantitative developer?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.

How does a senior quantitative developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

What are the most commonly searched types of Quantitative Developer jobs in Texas?

The most popular types of Quantitative Developer jobs in Texas are:

What are popular job titles related to Senior Quantitative Developer jobs in Texas?

For Senior Quantitative Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Developer jobs in Texas look for?

The top searched job categories for Senior Quantitative Developer jobs in Texas are:

What cities in Texas are hiring for Senior Quantitative Developer jobs?

Cities in Texas with the most Senior Quantitative Developer job openings:

Infographic showing various Senior Quantitative Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $152,022 per year, or $73.1 per hour.

Quantitative Engineering, Liquidity Metrics Strats, Dallas, Vice President

Goldman Sachs

Dallas, TX

$178K - $229K/yr

Full-time

Re-posted 2 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks


Job description

 LIQUIDITY METRICS STRATS

Liquidity and Prime Risk Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm's liquidity risk. You will also focus on developing quantitative models & scalable architecture.

RESPONSIBILITIES

  • Develop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approaches
  • Perform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitments
  • Quantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo trading
  • Work alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirements
  • Communicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems in a compiled or scripting language

QUALIFICATIONS

  • At least 7 years of prior experience in the financial industry, preferably in Capital Markets, Risk or Treasury functions
  • Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Strong written and verbal communication skills - ability to explain complex quantitative concepts to a non-technical audience
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Familiarity with financial markets, financial assets and liquidity risk management practices is a plus

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. 


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Goldman Sachs logo

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