Volatility Quantitative Researcher (Miami) (Full-Time)

Walleye Capital Internships

$80K — $120K *
Miami, FL 33186In-Person
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficiency in statistical analysis and modeling of time series financial data in Python.
  • Basic understanding of financial instruments including stocks and options.
  • Open to new graduates or candidates with limited finance experience.
  • Strong communication skills for clarifying tasks and presenting findings.
  • Commitment to thorough and accurate work.

Responsibilities

  • Collaborate with traders and quants to research, design, and automate alpha trading strategies.
  • Manipulate data sets to facilitate research and model development.
  • Build predictive models for asset prices using regression techniques, including machine learning.
  • Assist in developing portfolio optimization tools for trading signals and risk management.
  • Work alongside portfolio managers and tech teams to fully automate strategy execution.

Benefits

  • Opportunity to work closely with experienced professionals in quantitative finance.
  • Chance to develop and implement advanced trading strategies.
  • Collaboration with technology teams to leverage automation.
  • Role offers exposure to both research and practical application in finance.
  • Potential for growth and development in a fast-paced financial environment.
Full Job Description
Position: Quantitative Researcher (Full-Time)

Location: Miami, Florida

Quantitative Researcher

Walleye Capital is seeking a motivated and technical Quant Researcher to join the Equity Volatility team in Miami. The ideal candidate will possess strong statistical, analytical, and modelling skills. This role offers the opportunity to work with portfolio managers, research, and technology teams to research, design, and automate alpha trading strategies, and completely automate strategy execution.

Responsibilities:
  • Work with traders and quants to research, design, and automate alpha trading strategies
  • Manipulate proprietary and public data to build custom data sets for use in research and model development
  • Build predictive models of asset prices over short, medium, and long term frequencies using simple and advanced regression techniques, including machine learning
  • Assist portfolio manager in building portfolio optimization tools to monetize trading signals and manage risk
  • Work with portfolio manager and technology teams to completely automate strategy execution

Qualifications:
  • Proficiency in statistical analysis and modelling of time series financial data in Python is required
  • Basic understanding of financial instruments including stocks and options
  • Role is open to new graduates or first-time finance jobs
  • Strong communication skills, such as ability to clarify task requirements, communicate research findings, and propose solutions to challenges are required
  • Commitment to thorough, accurate work

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