Quantitative Analyst (DB41107)
Referment
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- RecruitingMarket researchStatistics
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Statistics46%Market research8%Recruiting1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
Referment is partnering with a global investment and technology firm to recruit a Quantitative Analyst for their systematic trading research team. This role involves a blend of mathematical modelling, software development, and empirical market research. You will be responsible for transforming novel ideas into testable trading strategies using real-world data. The focus is on improving signals, managing risk, and optimizing execution. This position is ideal for individuals who thrive on integrating theoretical concepts, coding, and evidence-based analysis.
Key Responsibilities
- Utilize financial data to explore opportunities for enhancing profitability, managing risk, and minimizing transaction costs.
- Develop statistical models and convert research concepts into systematic trading strategies.
- Critically evaluate trading strategies, differentiating robust findings from noise, and understanding their performance across diverse market conditions.
- Write software to support research, analysis, and implementation workflows.
Requirements & Tech Stack
- A strong academic background in mathematics, statistics, physics, engineering, computer science, or a similarly quantitative field.
- Exceptional analytical reasoning skills and the capacity to articulate quantitative ideas with precision.
- Proven programming ability and a keen interest in applying mathematical techniques to financial markets.
- Demonstrated curiosity, creativity, and the discipline to rigorously evaluate hypotheses.
This role may be suitable for a recent graduate or an early-career researcher with exceptional quantitative fundamentals seeking to work across modelling, coding, and systematic investing.