Quant Researcher - Systematic Trading: Own Your Book

Acquire Me; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Acquire Me is seeking a Quantitative Researcher to work across alpha generation, portfolio construction and optimisation in mid-frequency US equities. This risk-taking seat puts you alongside the Portfolio Manager, guiding ideas from research to live deployment and owning more risk over time.

You will develop systematic strategies, analyze performance, and contribute to decisions that influence PnL. A strong academic background and advanced Python skills are required, with direct equity

Qualifications

• 5+ years of alpha-generation experience.
• Master's or PhD in a highly quantitative discipline.
• Experience developing systematic signals, predictive models or trading strategies.
• Strong understanding of portfolio construction/optimisation.
• Strong statistical and mathematical foundations.
• Advanced Python skills.

Responsibilities

• Research and develop systematic alpha strategies across mid-frequency US equities.
• Work across portfolio construction, optimisation and risk.
• Partner directly with the Portfolio Manager on research and trading decisions.
• Take strategies from research through deployment and live trading.
• Analyse strategy performance with clear transparency around PnL.
• Build towards greater ownership of risk and potentially managing your own book.

Skills

Alpha generation

Python

Quantitative analysis

Portfolio optimisation

Statistical methods

Education

Master's or PhD in a quantitative discipline

Tools

Python

Job description

Acquire Me is seeking a Quantitative Researcher to work across alpha generation, portfolio construction and optimisation in mid-frequency US equities. This risk-taking seat puts you alongside the Portfolio Manager, guiding ideas from research to live deployment and owning more risk over time.

You will develop systematic strategies, analyze performance, and contribute to decisions that influence PnL. A strong academic background and advanced Python skills are required, with direct equity