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Assistant Machine Learning Quant Jobs in Live Oak, TX

FloatMe

Senior/Staff Data Scientist

San Antonio, TX · On-site

$140 - $190/hr

... machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains. * A Master degree in a quantitative field (e.g., Mathematics ...

HEB

Data Engineering Manager

San Antonio, TX · On-site

... * Assist in diagnosing and resolving highly complex technical and operational issues. Customer Personalization & Machine Learning Enablement * Build foundational data capabilities that support:

HEB

Data Engineering Manager

San Antonio, TX · On-site

$155K/yr

... * Assist in diagnosing and resolving highly complex technical and operational issues. Customer Personalization & Machine Learning Enablement * Build foundational data capabilities that support:

Valero

Staff Data Scientist

San Antonio, TX · On-site

... machine learning to cutting-edge generative AI. You'll partner with business leaders to identify ... Minimum Requirements: * Bachelor's or higher-level degree - in a Quantitative Field such as:

Valero Energy

Staff Data Scientist

San Antonio, TX · On-site

$120 - $160/hr

... machine learning to cutting‑edge generative AI. You'll partner with business leaders to identify ... Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data ...

Valero Energy

Data Science Specialist

San Antonio, TX · On-site

In this hands-on role, you'll leverage your deep expertise in machine learning, statistical ... Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data ...

Valero

Data Science Specialist

San Antonio, TX

In this hands-on role, you'll leverage your deep expertise in machine learning, statistical ... Minimum Requirements: * Bachelor's or higher-level degree - in a Quantitative Field such as:

Valero Energy

Staff Data Scientist

San Antonio, TX · On-site

... machine learning to cutting-edge generative AI. You'll partner with business leaders to identify ... Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data ...

IntelliGenesis LLC

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

... and quantitative methods for characterizing, exploring and assessing large datasets in various ... Designing/implementing machine learning * Data science * Advanced analytical algorithms

IntelliGenesis

Data Scientist Level 3

Boerne, TX · On-site

... and quantitative methods for characterizing, exploring and assessing large datasets in various ... Designing/implementing machine learning * Data science * Advanced analytical algorithms

Weeghman-

Data Scientist 3

San Antonio, TX · On-site

$138.10 - $153.50/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... and quantitative methods for characterizing, exploring, and assessing large datasets in various ...

New

SWBC

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

... assist leadership by providing research, reports, or dashboards that promote data driven decisions ... machine learning models. Essential duties include the following: * Develops and provides ...

SWBC

Data Analyst

San Antonio, TX

... assist leadership by providing research, reports, or dashboards that promote data driven decisions ... machine learning models. Essential duties include the following: * Develops and provides ...

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All JobsMachine Learning Quant JobsAssistant Machine Learning Quant JobsAssistant Machine Learning Quant Jobs in Live Oak, TX

Assistant Machine Learning Quant information

See Live Oak, TX salary details

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

As of Aug 7, 2026, the average hourly pay for assistant machine learning quant in Live Oak, TX is $15.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $16.59 per hour, depending on experience, location, and employer.

What is an assistant machine learning quant?

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.
What cities near Live Oak, TX are hiring for Assistant Machine Learning Quant jobs? Cities near Live Oak, TX with the most Assistant Machine Learning Quant job openings:
Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Live Oak, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $32,426 per year, or $15.6 per hour.

Senior/Staff Data Scientist

FloatMe

San Antonio, TX • On-site

$140 - $190/hr

Other

Posted 7 days ago

Job description

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the insights and decision frameworks that shape how we grow. You'll own end-to-end execution - analysis, experimentation, forecasting, visualization - and partner closely with our ML Engineers to evaluate model performance and connect risk decisions directly to business impact. If you love turning ambiguous, high-stakes questions into sharp, decision-ready answers and want to set the technical bar for a fast-moving fintech team, this is the seat for you.

What You'll Do

  • You will turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners

  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support

  • Define and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes

  • Partner with Machine Learning Engineers (MLEs) to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact

  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth

  • Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria

  • Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers

  • Lead technical direction and standards - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others

  • Drive localized cross-team impact by partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy

Who You Are

  • 4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.

  • A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is welcomed.

  • Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizations

  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions

  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Bonus Points

  • Fintech background

  • Consumer finance experience (non-large bank environment)

  • Advanced modeling techniques

  • Background in small to medium sized companies

FloatMe is proud to be an equal opportunity employer. FloatMe provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws, and prohibits discrimination and harassment of any type.

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