Quantitative Equity Analyst - Boutique Long/Short Equity Fund

Mondrian Delta

Austin (TX)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Mondrian Delta is seeking a Quantitative Fundamental Analyst to join its investment research team. You will combine deep fundamental company analysis with quantitative techniques to develop innovative systematic investment strategies across global equity markets.

Working with portfolio managers, researchers and software engineers, you’ll build and refine models, apply NLP/LLM to filings and financial statements, and contribute directly to the firm’s research agenda.

Qualifications

  • 2+ years' experience in quantitative fundamental research or systematic investing.
  • Strong understanding of company financials, corporate filings and equity analysis.
  • Experience applying quantitative methods within an investment environment.
  • An inquisitive mindset with a genuine passion for markets and investment research.

Responsibilities

  • Research and develop quantitative strategies using company fundamentals and financial statement data
  • Build and enhance alpha signals for systematic long/short equity portfolios
  • Apply NLP and LLM techniques to analyse corporate filings and financial disclosures
  • Collaborate closely with portfolio managers, quantitative researchers and developers on high‑impact investment projects
  • Evaluate new datasets, academic research and industry developments to identify new sources of alpha
  • Help shape the firm’s quantitative research platform through innovative, data‑driven ideas

Skills

Python
R
Quantitative methods

Education

Bachelor's degree in Finance, Accounting, Economics, Mathematics, Computer Science or related

Job description

Our client is a growing quantitative hedge fund that combines rigorous investment research with cutting‑edge technology to identify differentiated sources of alpha across global equity markets. With an entrepreneurial culture and a highly collaborative investment team, the firm empowers researchers to take ownership of ideas and see them translated quickly into live investment strategies.

As part of its continued growth, the firm is seeking a Quantitative Fundamental Analyst to join its investment research team. This is an exciting opportunity for someone who enjoys combining deep fundamental company analysis with quantitative techniques to develop innovative systematic investment strategies.

Working alongside experienced portfolio managers, quantitative researchers and software engineers, you’ll help build and refine fundamentally driven models, apply modern NLP and LLM techniques to corporate filings and financial statements, and contribute directly to the firm’s research agenda. The role offers significant autonomy, direct exposure to investment decision‑making and a genuine opportunity to influence the evolution of the firm’s systematic strategie.

The successful candidate will work across the full research lifecycle— from idea generation and data analysis through to implementation—within a collaborative environment where innovative thinking is encouraged and research has a direct impact on portfolio performa.

Key Responsibilities
  • Research and develop quantitative strategies using company fundamentals and financial statement data
  • Build and enhance alpha signals for systematic long/short equity portfolios
  • Apply NLP and LLM techniques to analyse corporate filings and financial disclosures
  • Collaborate closely with portfolio managers, quantitative researchers and developers on high‑impact investment projects
  • Evaluate new datasets, academic research and industry developments to identify new sources of alpha
  • Help shape the firm’s quantitative research platform through innovative, data‑driven ideas
You will likely have:
  • 2+ years' experience in quantitative fundamental research or systematic investing
  • Strong understanding of company financials, corporate filings and equity analysis
  • Experience applying quantitative methods within an investment environment
  • Strong Python and/or R programming skills
  • An inquisitive mindset with a genuine passion for markets and investment research
  • Bachelor's degree in Finance, Accounting, Economics, Mathematics, Computer Science or a related discipline
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