Research Analyst

MerQube Inc

$80K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-3 years' experience in derivatives pricing models and quantitative research.
  • Master's degree in Finance or related quantitative field; or equivalent work experience with a Bachelor's degree.
  • Proficiency in Python for financial data management.
  • Strong interest in financial markets and quantitative finance.
  • Excellent communication and collaboration skills with clients and teams.

Responsibilities

  • Research and improve volatility and pricing frameworks for options and exotic derivatives.
  • Develop expertise in implied volatility modeling and no-arbitrage surface construction.
  • Translate modeling expertise into production-ready index strategies using Python.
  • Collaborate with Financial Engineering team on MerQube branded financial engines and strategies.
  • Interface with clients on research projects and contribute to pitchbook development.
  • Work with financial datasets and applications like FactSet and LSEG Refinitiv.
  • Contribute to thought leadership via whitepapers and content on MerQube indices.

Benefits

  • Competitive compensation packages that grow with you.
  • Top-tier medical, dental, vision, and more benefits.
  • Flexible work arrangements, including hybrid options.
  • Community-first culture fostering a sense of belonging.
  • Investment in health, wellness, and work-life balance.
  • Hands-on opportunities for career growth and development.
  • Paid office lunches to enhance team collaboration.
  • Generous PTO and holiday time to support recharging and wellbeing.
Full Job Description
Position Overview:

We are looking for our next Research Analyst based in New York. You will be joining a friendly and growing team to disrupt the Index space and participate in the next phase of our growth, playing a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies across exotic structured payoffs and options-based strategies.

Key Responsibilities:
  • Research, develop, and continuously improve implied volatility and pricing frameworks for options and exotic derivatives.
  • You will build deep expertise across implied volatility modeling, no-arbitrage surface construction, and derivative pricing, developing intuition that spans a wide range of modeling approaches and payoff structures. As our product suite evolves, so will the scope and sophistication of this work.
  • Translate that modeling expertise into production-ready indices. strategies using Python, with a focus on indices based on synthetic notes of exotic derivatives, listed-options and modelled flex options.
  • Collaborate with the Financial Engineering team to develop MerQube branded financial engines and indexing strategies for major financial institutions.
  • Interface directly with clients on active research projects
  • Engage with clients on active research projects and contribute to pitchbook development.
  • Work with financial data sets and applications such as FactSet and LSEG Refinitiv.
  • Contribute to thought leadership through whitepapers, blogs and other content centered around MerQube indices and broader investment finance themes.

Qualifications:
  • Minimum of 2-3 years of experience in derivatives pricing models and derivatives quantitative research.
  • Master's degree in Finance or a related quantitative field (Mathematics, Data Science, Economics, Computer Science or Engineering), or a Bachelor's degree with equivalent work experience.
  • Proficiency in Python programming, with a focus on financial data management.
  • Strong interest in financial markets and the intersection of software and quantitative finance.
  • Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.

Benefits:
  • Pay that matches your ambition: competitive compensation packages that grow with you
  • Benefits that actually have your back: top-tier medical, dental, vision, and more
  • Work where you work best: flexible arrangements, including hybrid options
  • A team that feels like home: we're building a community-first culture
  • Your wellbeing, prioritized: real investment in health, wellness, and work-life balance
  • Room to grow, fast: hands-on opportunities to learn, level up, and shape your career
  • Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach
  • Time to recharge - generous PTO, holidays, and sick time, because rest fuels great work

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