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Assistant Machine Learning Quant Jobs in Plano, TX

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

PhD in Computer Science, or related quantitative field, plus7+ years of industry research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Toyota

Principal Data Scientist

Plano, TX

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for ... A PhD in a related quantitative field * Experience applying data science in product quality ...

Pratt Industries

Machine Operator

Dallas, TX · On-site

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Pratt Industries

Machine Operator

Dallas, TX · On-site

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

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Assistant Machine Learning Quant information

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How much do assistant machine learning quant jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for assistant machine learning quant in Plano, TX is $17.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.41 per hour, depending on experience, location, and employer.

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
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Assistant Machine Learning Quant jobs near you
AI/ML Engineer, Global Banking & Markets, Front Office Technology

AI/ML Engineer, Global Banking & Markets, Front Office Technology

Goldman Sachs

Dallas, TX

Other

Re-posted just now

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

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities?  Start here.

Within our Global Banking & Markets business, Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are a team of strong analytical thinkers with a passion for producing out-of-the-box ideas.

Within IB, our engineers are responsible for building next generation digital solutions and automation for banking that consists of a set of well-integrated platforms and allows us to serve our bankers and clients better.

Who We Look For
We are seeking an AI/ML engineer to join our IB Engineering team. As an AI/ML engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance. As an AI/ML engineer, you will tackle the unique challenges associated with embedding intelligence in the analytics domain. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!

How You Will Fulfill Your Potential

  • Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
  • Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
  • Collaborate proactively with stakeholders across the equities business  to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes.
  • Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications

  • Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
  • 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
  • Proficiency in contemporary programming languages like Python and/or Java.
  • Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

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., 2026. All rights reserved.

What Goldman Sachs employees say

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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

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