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Assistant Machine Learning Quant Jobs in New York

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

Our client is building an equity trading engine powered by machine learning. They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Perform timely Root Cause Analysis to troubleshoot model and data-related issues; assist in ... strong quantitative and software background. * Proven track record in building, monitoring, and ...

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... assistants, our internal stack for training models, and how to reason about performance. We're ...

Showing results 41-60

Assistant Machine Learning Quant information

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 are the most commonly searched types of Machine Learning Quant jobs in New York? The most popular types of Machine Learning Quant jobs in New York are:
What are popular job titles related to Assistant Machine Learning Quant jobs in New York? For Assistant Machine Learning Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in New York look for? The top searched job categories for Assistant Machine Learning Quant jobs in New York are:
What cities in New York are hiring for Assistant Machine Learning Quant jobs? Cities in New York with the most Assistant Machine Learning Quant job openings:
Infographic showing various Assistant Machine Learning Quant job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data-Intensive Python/SQL Developer with Machine Learning Experience (New York)

The Cypress Group

Manhattan, NY • On-site

$55.50 - $76.25/hr

Full-time

Re-posted 5 days ago


Job description

Data-Intensive Python/SQL Developer with Machine Learning Experience

Job Title: Quant Developer (Python/SQL) with Machine Learning Transition

Location: Lower Manhattan, New York City

Employment Type: Full-time

Experience Level: 3+ Years

Salary: Up to $200k + Bonus

About Us:

Our client is a leading buy-side firm with a strong commitment to leveraging data-driven insights and machine learning to enhance investment decisions. Located in the heart of Lower Manhattan, we are a dynamic team of professionals dedicated to staying at the forefront of financial technology. Join us in our mission to drive excellence in data analysis and investment strategies.

Job Description:

Position Overview: We are seeking a talented and motivated Quant Developer with expertise in Python and SQL. This role will initially focus on quantitative development for the first six months, primarily building and optimizing financial data systems, particularly within fixed income. After this period, the role will transition into applying machine learning techniques to enhance data analysis and modeling capabilities.

Key Responsibilities:
  • Develop and maintain Python scripts and applications for data analysis, modeling, and visualization.
  • Build and optimize calculation engines for accounting and financial data, with a focus on fixed income datasets.
  • Collaborate with data engineers to streamline and enhance data pipelines, particularly those handling fixed income securities.
  • Utilize SQL to query and manipulate large datasets, ensuring data accuracy and integrity, with an emphasis on fixed income data structures.
  • Participate in the design and development of data-driven tools and dashboards for investment decision-making.
  • Work closely with portfolio managers and analysts to understand and address their data needs, particularly within fixed income investment strategies.
  • After six months, transition into implementing and optimizing machine learning models for financial data analysis.
  • Stay current with emerging trends and technologies in quantitative finance and machine learning.
Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Finance, or a related field.
  • Strong programming skills in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy).
  • Proficiency in SQL for querying and managing large datasets.
  • Minimum 3+ years of experience in quantitative development within finance or a related domain.
  • Must have experience in fixed income, ideally loans, but not required.
  • Strong problem-solving skills and attention to detail.
  • Interest and foundational knowledge in machine learning, with the ability and desire to transition into ML work after the initial development phase (experience with Scikit-Learn, TensorFlow, or PyTorch is a plus).
  • Effective communication skills and ability to collaborate in a team-oriented environment.
  • Prior experience in the finance industry is preferred but not required.
  • 5 days a week, onsite in Lower Manhattan.
  • Collaborative and innovative work culture.
  • Competitive salary up to $200,000, with the potential for a performance-based bonus.
How to Apply:

If you are a skilled Python/SQL developer eager to start in a quant development role and transition into machine learning, we encourage you to apply by sending your resume and a cover letter detailing your relevant experience to nyjobs@cypressg.com.

Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Note: Unfortunately, visa sponsorship is not available at this time.

Seniority level:

Associate

Employment type:

Full-time

Job function:

Engineering, Finance, and Information Technology

Industries:

Capital Markets and Financial Services

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