Quantitative Researcher
Goliath Partners
Job Overview
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Job Description
About Goliath Partners' Client
Our client, a high-growth MFT fund, has experienced a remarkable 3x revenue increase in the past 12 months. This success has led to the opening of two exciting opportunities for Quantitative Researchers to join their dynamic team.
The Opportunity: Quantitative Researcher
These roles are currently remote and focus on the US Equities market. As a Quantitative Researcher, you will be instrumental in developing and refining quantitative trading strategies within a fast-paced, high-impact environment.
Requirements
- Bachelor's degree in Statistics, Computer Science, Mathematics, or a similarly related quantitative field.
- 3+ years of experience in quantitative research, with a strong emphasis on both pipeline build-out and alpha research.
- Proven experience within the equities market.
- Excellent foundation and proficiency in Python, as it is a core programming language for this role.
Beneficial Skills
- Experience with Machine Learning (ML) and Large Language Models (LLM).
- Prior history working effectively within a pod structure.
- Experience running live trading strategies (e.g., 2.0+ versions).
Compensation
This position offers a highly competitive total compensation package ranging from $750,000 to $1,500,000, with a guaranteed bonus in the first year.
Key skills/competency
- Quantitative Research
- Alpha Research
- Python Programming
- US Equities Market
- Pipeline Development
- Statistical Modeling
- Machine Learning (ML)
- Algorithmic Trading
- Financial Modeling
- Data Analysis
How to Get Hired at Goliath Partners
- Research Goliath Partners' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for quant roles: Highlight quantitative research, Python, equities experience, and alpha generation keywords.
- Prepare for technical challenges: Practice advanced Python, statistical modeling, and algorithmic concepts relevant to MFT funds.
- Showcase your impact in equities: Be ready to discuss specific projects where your research directly impacted trading performance.
- Understand the MFT fund model: Familiarize yourself with market-making, high-frequency trading, and systematic strategies.
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