Senior Markets Strats AVP - Quant Trading & Analytics

Barclays

New York (NY)

On-site

USD 125,000 - 175,000

Full time

7 days ago
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Job summary

Barclays in New York, NY seeks a Markets Strats - AVP to develop quantitative models and trading analytics. You will build back-testing infrastructure, integrate vendor and internal data, and support portfolio optimization for front-office desks. Strong coding in Python and Java, with experience in equity derivatives, is required.

You will lead or collaborate on complex analyses, communicating insights to traders and quants while maintaining robust risk controls and scalable analytics platforms.

Qualifications

  • Advanced Python development with additional experience in Java.
  • Equity derivatives and similar financial contracts.
  • Back-testing frameworks and portfolio optimization techniques.
  • Large-scale data analysis using vendor and internal datasets (KDB).
  • Quantitative development for research and trading platforms.

Responsibilities

  • Develop and implement quantitative models and strategies to optimise trading decisions, pricing, and risk management.
  • Collaborate with sales to identify client needs and develop customised solutions.
  • Conduct data analysis and modelling to derive market insights and risk dynamics.
  • Provide front office infrastructure support through maintenance of analytical libraries.
  • Advise on quantitative methodologies and industry best practices to drive innovation.

Skills

Python
Java
Equity derivatives
Back-testing
Portfolio optimization
KDB
Quant development

Tools

KDB+

Job description

Barclays in New York, NY seeks a Markets Strats - AVP to develop quantitative models and trading analytics. You will build back-testing infrastructure, integrate vendor and internal data, and support portfolio optimization for front-office desks. Strong coding in Python and Java, with experience in equity derivatives, is required.

You will lead or collaborate on complex analyses, communicating insights to traders and quants while maintaining robust risk controls and scalable analytics platforms.

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