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# Quantitative Developer

- **Company:** Amg, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $107,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Information Technology
- **Published:** June 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us662fb48ddd77954fb62be5a1c7c8f480

## About the Role

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field.

 - Minimum of 3 years of experience in developing quantitative models and tools in the financial industry.
 - Strong programming skills in languages such as Python, R, and SQL.
 - Knowledge of statistical analysis and machine learning techniques.
 - Familiarity with financial instruments and markets.
 - Excellent analytical and problem-solving abilities.
 - Ability to work independently and in a team environment.
 - Strong communication and interpersonal skills.
Why Work for Us?, If you are passionate about quantitative finance and have the skills and experience we are looking for, we would love to hear from you. Apply now and join our team of experts at AMG & Associates, Inc.

## Description

We are seeking a highly skilled Quantitative Developer to join our dynamic team. The successful candidate will be responsible for developing and implementing quantitative models and tools to support our investment management activities. This is a full-time position with a competitive salary and benefits package., Develop and maintain quantitative models and tools for investment analysis, risk management, and portfolio optimization.

 - Collaborate with portfolio managers and other team members to understand their needs and provide technical solutions.
 - Conduct research and analysis to identify and implement new quantitative techniques and strategies.
 - Ensure the accuracy and integrity of data used in quantitative models.
 - Monitor and evaluate the performance of existing models and tools, and make recommendations for improvements.
 - Keep up-to-date with industry developments and best practices in quantitative finance.


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