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Assistant Machine Learning Quant Jobs (NOW HIRING)

Demoind

Machine Learning

California, PA · On-site

... and quantitative problem-solving ability. - Strong background and experience in using R, SAS ... MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

PayPal

Machine Learning Engineer

Austin, TX

Essential Responsibilities: * Assist in the development and optimization of machine learning models ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

PayPal

Machine Learning Engineer

Chicago, IL

Essential Responsibilities: * Assist in the development and optimization of machine learning models ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

Essential Responsibilities: * Assist in the development and optimization of machine learning models ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Essential Responsibilities: * Assist in the development and optimization of machine learning models ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

CloudDevs

Machine Learning Intern

Manhattan, NY · Remote

Responsibilities Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development and implementation of machine learning algorithms. Conduct experiments to ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

This division offers an array of quantitative investment fund products to its clients. They are ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

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

As of Jun 4, 2026, the average hourly pay for assistant machine learning quant in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

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.

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 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.
What cities are hiring for Assistant Machine Learning Quant jobs? Cities with the most Assistant Machine Learning Quant job openings:
What are the most commonly searched types of Machine Learning Quant jobs? The most popular types of Machine Learning Quant jobs are:
What states have the most Assistant Machine Learning Quant jobs? States with the most job openings for Assistant Machine Learning Quant jobs include:
What job categories do people searching Assistant Machine Learning Quant jobs look for? The top searched job categories for Assistant Machine Learning Quant jobs are:
Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,550 per year, or $18.1 per hour.

Machine Learning

Demoind

California, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

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