Mathematician Quantitative Researcher

@ Hunter Bond

About the Role

Hunter Bond is seeking a core early team member to join a stealth start-up quant fund. As a Mathematician Quantitative Researcher, you will harness data, mathematics, and technology to develop innovative trading strategies and investment models.

Key Responsibilities

• Conduct mathematical and data science research to identify alpha-generating signals.
• Design and implement quantitative models for trading, risk management, and portfolio construction.
• Analyze vast financial and alternative datasets to uncover insights.
• Back test strategies and validate their robustness rigorously.
• Collaborate to deploy models into production systems.
• Keep current with academic and industry research trends.

Qualifications & Ideal Profile

Candidates should have 1-2+ years of financial quant research experience, preferably in trading environments from investment banking or elite buyside/hedge funds. An advanced degree (PhD or MSc) in Mathematics, Statistics, Physics, Computer Science, or Engineering is required. Strong programming skills (Python, C++ or similar) and familiarity with machine learning are essential. A solid grounding in probability, statistics, and time-series analysis along with creative problem-solving abilities is key.

Opportunity & Compensation

This role offers a salary up to 250k plus performance-based bonuses. Future opportunities include partnership and equity within the fund. The fund is raising over $300M in AUM within 12 months, with a target of $1B, covering assets like crypto, equity, and options.

Key skills/competency

• quantitative research
• data analysis
• statistical modeling
• Python
• C++
• machine learning
• trading strategies
• risk management
• portfolio construction
• financial markets