Trader/Analyst (5D93B2D)

Referment

New York (NY)

Presencial

USD 85.000 - 120.000

Jornada completa

Hace 3 días
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Descripción de la vacante

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

Formación

  • 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.

Responsabilidades

  • 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.

Conocimientos

Quantitative analysis
Communication
Team collaboration
Attention to detail
Independent thinking
Data-driven messaging

Educación

Bachelor's degree

Herramientas

Proprietary data platforms
AI-enabled research tools

Descripción del empleo

Referment is working with a global investment management firm whose discretionary strategies span fundamental equities, credit, macro, energy, convertibles, and asset-backed securities, alongside a substantial systematic business. Analysts and traders there take on real responsibility early, developing original ideas and putting them to work in global markets.

The Role
  • Analyst track: research, analyze, and conduct due diligence on specific companies and sectors to inform fundamental investments, including primary research such as management meetings, expert calls, and novel data analyses.
  • Trader track: monitor markets and positions, analyze market events, and use a range of technological platforms to make decisions grounded in your analysis.
  • Leverage proprietary data and technology tools to build and pressure-test investment hypotheses.
  • Analyze market data and fundamentals to generate insights supporting investment decisions.
  • Contribute to investment theses, presentations, and your team's idea generation.
  • Collaborate with colleagues to monitor positions, assess market events, and manage risk exposures.
You'll learn alongside an accomplished team, with mentorship and resources to grow into a seasoned investment professional.
What We're Looking For
  • A bachelor's degree and up to four years of relevant experience, such as banking, equity research, private equity, trading, or other buy-side roles or internships.
  • A passion for investing or trading, demonstrated aptitude for quantitative analysis, and an instinct for independent thinking.
  • Clear communication and effective collaboration within a team environment.
  • Exceptional attention to detail, with the rigor to analyze new investment ideas thoroughly.
  • The ability to generate original insights and synthesize information from a wide range of sources into clear, persuasive messages supported by data and quantitative analysis.
  • Comfort with data and an interest in applying AI-enabled tools to research and idea generation.
This could suit...
An investment banking analyst, equity research associate, or trading desk professional with up to four years' experience who wants an investing seat with genuine responsibility from the start. Candidates from credit, macro, or structured products backgrounds who enjoy primary research and data-driven idea generation would also fit well.
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