Investment Analyst & Trader — Early Responsibility

Referment; New York (NY); Sur place; USD 85 000 - 120 000; Plein temps

Résumé du poste

Referment, a global investment management firm, is seeking ambitious analysts and traders to join an early-career program. Analysts will conduct primary research, meet management, and analyze data to inform fundamental investments across sectors.

Traders will monitor markets and events, assess positions, and use a range of platforms to make decisions grounded in analysis. Both tracks leverage proprietary data and AI-enabled tools to pressure-test hypotheses and develop investment theses with

Qualifications

• Bachelor's degree and up to four years of relevant experience.
• Strong interest in investing and aptitude for quantitative analysis.
• Clear communication and effective collaboration within a team.
• Exceptional attention to detail and rigorous idea testing.
• Ability to generate original insights from diverse data sources.
• Comfort with data and interest in AI-enabled research tools.

Responsabilités

• Analyze market data and fundamentals to generate investment insights.
• Conduct primary research including meetings and expert calls.
• Monitor markets and positions to analyze events and manage risk.
• Collaborate to build investment theses and present ideas.
• Leverage data and technology to pressure-test hypotheses.
• Contribute to investment theses, presentations, and idea generation.

Connaissances

Quantitative analysis

Communication

Team collaboration

Attention to detail

Independent thinking

Data-driven messaging

Formation

Bachelor's degree

Outils

Proprietary data platforms

AI-enabled research tools

Description du poste

Referment, a global investment management firm, is seeking ambitious analysts and traders to join an early-career program. Analysts will conduct primary research, meet management, and analyze data to inform fundamental investments across sectors.

Traders will monitor markets and events, assess positions, and use a range of platforms to make decisions grounded in analysis. Both tracks leverage proprietary data and AI-enabled tools to pressure-test hypotheses and develop investment theses with