Credit Portfolio Quant – AI-Driven Research Associate

Next Frontier Capital; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive healthcare coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

Next Frontier Capital is seeking a motivated individual for the Quantitative Research position in New York. The ideal candidate will develop AI-based tools to enhance portfolio management and trading capabilities, leveraging cutting-edge technologies like machine learning.

The role demands advanced education and significant experience in quantitative research, with strong Python skills. The position offers a competitive rewards package and emphasizes diversity and inclusion within the workplace.

Qualifications

• 4+ years of experience in a quantitative research or analytics-focused role.
• Experience building and deploying AI agents and machine learning applications.
• Ability to convey complex quantitative concepts to varied stakeholders.

Responsibilities

• Design and build AI and LLM-based tools for trading workflows.
• Implement machine learning techniques to enhance trading algorithms.
• Collaborate with control teams for model review and compliance.

Skills

Quantitative research expertise

AI and machine learning applications

Python programming

Portfolio optimization

Analytical problem-solving

Education

Advanced degree in mathematics, statistics, physics, financial engineering, or computer science

Tools

Financial market tools

Job description

Next Frontier Capital is seeking a motivated individual for the Quantitative Research position in New York. The ideal candidate will develop AI-based tools to enhance portfolio management and trading capabilities, leveraging cutting-edge technologies like machine learning.

The role demands advanced education and significant experience in quantitative research, with strong Python skills. The position offers a competitive rewards package and emphasizes diversity and inclusion within the workplace.