Quantamental Analyst - $1bn Start-Up Hedge Fund

Mondrian Delta Limited; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Mondrian Delta Limited in New York seeks a Quantamental Analyst to support its fundamental equity long/short team. This is a highly technical, research-focused role combining quantitative research, AI tools and data engineering to accelerate investment insights.

You will build AI-driven workflows, data pipelines and proprietary analytical frameworks in collaboration with investment professionals. The ideal candidate has 2–6+ years of experience, with strong Python/SQL, hands-on LLMs and an

Qualifications

• 2–6+ years of experience in quantitative research, data science, ML or investment analytics.
• Strong Python and SQL capabilities; experience building scalable data applications.
• Hands-on experience with LLMs, generative AI, AI agents and modern ML frameworks.
• Familiarity with financial datasets, alternative data and fundamental equity research.
• Strong problem-solving skills and ability to translate research requirements into technical solutions.
• Entrepreneurial mindset with interest in applying AI technologies to public markets investing.

Responsibilities

• Support fundamental investment analysts and portfolio managers through quantitative research, data analysis and AI-driven tools.
• Develop and deploy AI/LLM-based applications to automate and enhance fundamental investment research.
• Build proprietary research platforms, analytical frameworks and data pipelines to improve research capabilities.
• Leverage alternative datasets, ML and statistical techniques to uncover insights.
• Automate workflows including financial statement analysis, earnings transcript processing, document extraction and company screening.
• Work closely with investors to identify opportunities to integrate AI throughout the investment process.

Skills

Quantitative research

Data science

Machine learning

Investment analytics

Tools

Python

SQL

LLMs

Job description

We are partnering with a recently launched, $1bn hedge fund in New York seeking to hire a Quantamental Analyst to support its fundamental equity long/short investment team.

The fund takes a fundamentally driven approach to investing, leveraging quantitative techniques, alternative data and increasingly sophisticated AI tools to enhance the depth, speed and efficiency of its investment research.

This is a highly technical, research-focused position, working directly with investment professionals to develop proprietary analytical tools, integrate AI into research workflows and build out the fund's broader data and technology capabilities.

The Role:

• Support fundamental investment analysts and portfolio managers through quantitative research, data analysis and AI-driven tools.
• Develop and deploy AI/LLM-based applications to automate and enhance fundamental investment research.
• Build proprietary research platforms, analytical frameworks and data pipelines to improve the investment team's research capabilities.
• Leverage alternative datasets, machine learning and statistical techniques to uncover differentiated company and sector insights.
• Automate workflows including financial statement analysis, earnings transcript processing, document extraction and company screening.
• Work closely with investors to identify opportunities to integrate AI and technology throughout the investment process.

Ideal Candidate:

• 2-6+ years of experience in quantitative research, data science, machine learning or investment analytics.
• Strong Python and SQL capabilities, with experience building scalable data applications.
• Hands-on experience with LLMs, generative AI, AI agents and modern machine learning frameworks.
• Familiarity with financial datasets, alternative data and fundamental equity research.
• Strong problem-solving skills and the ability to translate investment research requirements into practical technical solutions.
• Entrepreneurial mindset, with an interest in applying emerging AI technologies within public markets investing.

This represents an opportunity to join a well-capitalised, entrepreneurial investment platform at an early stage, with significant ownership over the development of its AI, data and research infrastructure.