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Assistant Machine Learning Quant Jobs in Hercules, CA

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195 - $254/hr

Strong foundation in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195K - $254K/yr

Strong foundation in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

Reducto

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to train and deploy critical models for their core ... quantitative approach to building products. Ability to debug, experiment, and iterate fast. You ...

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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 Aug 4, 2026, the average hourly pay for assistant machine learning quant in Hercules, CA is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.25 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.
Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Hercules, CA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $41,459 per year, or $19.9 per hour.

Machine Learning Research Director

MSCI Inc

San Francisco, CA • On-site

$250 - $350/hr

Other

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

Job description

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We seek an Executive Director to lead research applying advanced machine learning techniques including deep learning and reinforcement learning to systematic strategies, portfolio construction, and valuation models.

  • Lead a team conducting research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning
  • Design and develop models that convert AI-extracted signals from text, documents, and client telemetry into investment insights
  • Deliver research powering new products across MSCI's product lines
  • Build and mentor a team of PhD-level machine learning researchers
  • Engage directly with clients to understand systematic investment challenges
  • Contribute to thought leadership through research innovation and publishing
  • Collaborate with product, technology, and sales teams
  • PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related quantitative field from a top institution
  • Strong foundation in quantitative finance
  • Expert programming skills
  • Publication record in machine learning or quantitative finance (preferred)
  • Ability to communicate complex ideas clearly to technical and business stakeholders
  • Experience building and mentoring technical teams
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About MSCI

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1969

Social media

Twitter

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