Quantitative Researcher

CW Talent Solutions; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

CW Talent Solutions is seeking a highly analytical Quantitative Researcher in New York. This role involves working directly with a senior Portfolio Manager to develop models that support investment decision-making and portfolio construction. Responsibilities include risk analytics, portfolio research, and designing trade implementation analytics. A degree in a quantitative field and proficiency in Python are required. Strong communication skills and attention to detail are essential for success in this position.

Qualifications

• Degree in Mathematics, Statistics, Finance, Engineering, or Computer Science.
• Experience in quantitative research or portfolio management.
• Strong statistical modelling and analytical skills are essential.

Responsibilities

• Develop analytics to identify and mitigate portfolio risks.
• Conduct portfolio construction research and provide insights.
• Research and back-test signals to support investment views.

Skills

Statistical modelling

Problem-solving

Communication skills

Proficiency in Python

Education

Degree in a highly analytical field

Job description

We are seeking a highly analytical Quantitative Researcher to work directly with a senior Portfolio Manager, developing models and tools to support investment decision-making and portfolio construction.

Responsibilities

• Develop analytics to identify and mitigate key portfolio risks
• Conduct portfolio construction research and provide actionable insights
• Research and back-test signals to support investment views
• Design trade implementation and execution analytics
• Partner with quant and engineering teams to productionise tools and reporting

Requirements

• Degree in a highly analytical field (e.g. Mathematics, Statistics, Finance, Engineering, Computer Science)
• Experience in quantitative research, trading/risk analytics, or portfolio management
• Strong statistical modelling and problem-solving skills
• Experience with portfolio construction, risk models, and transaction cost analysis
• Proficiency in Python, with experience building robust, production-quality code
• Strong communication skills and attention to detail