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Junior Quant Developer Jobs in Texas (NOW HIRING)

You will also mentor junior data scientists and contribute to the growth of our AI safety research ... Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation ...

You will also mentor junior data scientists and contribute to the growth of our AI safety research ... Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation ...

Intern, Trading Analytics 2027

Houston, TX · On-site

$14.25 - $19/hr

... Engineering, Computer Science, Physics, or other related quantitative or technical fields * Current level in college: Junior, Senior, or Graduate Student * Expected graduation date: Fall 2027 through ...

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... quantitative IH/safety surveys, air sampling/monitoring, and noise surveys. A Junior Industrial ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Provide training to junior risk managers and other staff as required. * Strong attention to detail ...

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Provide training to junior risk managers and other staff as required. * Strong attention to detail ...

Mentor junior data scientists in AI Engineering, LLM app development, and best practices What you ... While degrees in mathematics, computer science, engineering, or other quantitative fields are ...

Engineer

Plano, TX · On-site

$80K - $100K/yr

... quants, product owners, architects, risk tech, and business users. • Participate in agile ceremonies sprint planning, refinement, design reviews. • Mentor junior engineers and contribute to ...

Engineer

Plano, TX · On-site

$120K - $130K/yr

... quants, product owners, architects, risk tech, and business users. • Participate in agile ceremonies sprint planning, refinement, design reviews. • Mentor junior engineers and contribute to ...

Engineer

Addison, TX · On-site

$80K - $90K/yr

... quants, product owners, architects, risk tech, and business users. • Participate in agile ceremonies sprint planning, refinement, design reviews. • Mentor junior engineers and contribute to ...

Showing results 41-60

Junior Quant Developer information

See Texas salary details

$56.8K

$99.5K

$150K

How much do junior quant developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior quant developer in Texas is $99,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $99,200.00 per year, depending on experience, location, and employer.

What is a junior quant developer?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive as a junior quant developer?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What does a junior quant developer do?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.

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

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

What job categories do people searching Junior Quant Developer jobs in Texas look for?

The top searched job categories for Junior Quant Developer jobs in Texas are:

What cities in Texas are hiring for Junior Quant Developer jobs?

Cities in Texas with the most Junior Quant Developer job openings:

Infographic showing various Junior Quant Developer job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $99,524 per year, or $47.8 per hour.

Senior AI Scientist

Vangard, Inc.

Dallas, TX • On-site

Full-time

Re-posted yesterday


Job description

About the Role

This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.

Responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions

  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems

  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale

  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption

  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations

  • Mentor and develop junior data scientists and analysts on the team

  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda

  • Participate in special projects and perform other duties as assigned

Qualifications

  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles

  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques

  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work

  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn

  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses

  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus

  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.