Why This Role Stands Out
This role offers a fantastic opportunity to develop cutting-edge alphas using advanced NLP and LLM techniques within a respected firm, with a highly competitive salary of $150,000 - $200,000 USD plus a discretionary bonus. You will thrive here if you have a strong background in quantamental research and a passion for blending fundamental analysis with quantitative modeling to drive impactful trading strategies. Apply now to join a dynamic team and advance your career in quantitative finance.
Quick Overview
Salary
$150k - $200k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
Austin, TX, United States
Posted
1 month ago
Job Description
$150,000-200,000 USD
Discretionary end of year bonus
Onsite WORKING
Location: Austin, Austin, Texas - United States Type: Permanent
Quantamental Analyst/Researcher (Austin)
Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are looking for a Quant with experience in fundamentally-driven strategies who can develop and enhance alphas using a mix of NLP models and LLMs to process and analyse company financials.
The Role:
Discretionary end of year bonus
Onsite WORKING
Location: Austin, Austin, Texas - United States Type: Permanent
Quantamental Analyst/Researcher (Austin)
Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are looking for a Quant with experience in fundamentally-driven strategies who can develop and enhance alphas using a mix of NLP models and LLMs to process and analyse company financials.
The Role:
- Collaborating with other quants in the group to research and enhance fundamentally-driven strategies
- Using NLP/LLMs to process filings/financials to generate signals
- Exploring academic research to identify the best novel methods
- 2-3 or more years of experience in Quantamental research
- Strong understanding of fundamentals, such as company filings, financials etc.
- Strong Python or R experience
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