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Quant Developer - Equities (Mid Frequency) - Execution - $500k

Paragon Alpha - Hedge Fund Talent Business

New York (NY)

On-site

USD 150,000 - 250,000

Full time

10 days ago

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Job summary

An established industry player is seeking a Quantitative Developer to join their dynamic trading team in New York. This role offers the opportunity to collaborate closely with Senior Portfolio Managers and Researchers, developing innovative backtesting simulations and enhancing execution systems. The ideal candidate will possess strong programming skills in Python, experience with AWS and SQL, and a passion for cash equity products. This is a fantastic opportunity to advance your career in one of the world's leading hedge funds, where your contributions will significantly impact trading and engineering excellence.

Qualifications

  • Experience in quantitative development with a focus on execution systems.
  • Strong partnership skills with researchers and quants.

Responsibilities

  • Collaborate with Senior PMs and Researchers to build backtesting simulations.
  • Focus on execution systems for the trading pod.

Skills

Python
AWS
SQL

Job description

Quant Developer - Mid Frequency Trading - Cash Equities- $450
Quant Developer - Mid Frequency Trading - Cash Equities- $450

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Paragon Alpha - Hedge Fund Talent Business provided pay range

This range is provided by Paragon Alpha - Hedge Fund Talent Business. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Direct message the job poster from Paragon Alpha - Hedge Fund Talent Business

Co-Head of Trading Technology / Quant Developers / Software Engineers / Global Hedge Funds

I'm working with a Head of Systematic Equities within a large multi-manager hedge fund, who has recently joined a keen to build a large global trading team.

They need to hire a Quantitative Developer to join the team and collaborate with the Senior PMs and Researchers, helping to build backtesting simulations, and to focus specifically on execution systems for the pod.

Stack: Python, AWS, SQL

The team need an excellent engineer who has experience partnering with researchers and quants, and exposure to cash equity products would be a big boost here.

The company is one of the worlds most successful hedge funds, and will offer a career path to the upper echelons of trading/engineering. Please do apply if this sounds of interest!

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Finance, and Information Technology
  • Industries
    Financial Services, Banking, and Investment Management

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