Chief HFT & Quant Research Lead

Banyak Group; New York (NY); On-site; USD 350,000 - 750,000; Full time

Job summary

Banyak Group in New York is seeking a Head of HFT to manage research, trading, and technology teams across their high-frequency trading business. The role emphasizes scaling operations, deploying HFT strategies across equities, futures, FX and options, and collaborating with engineering to design scalable systems.

Ideal candidates will have 10+ years in HFT, a proven track record, and strong coding skills in C++ and Python.

Qualifications

• 10+ years of experience building and running high-frequency trading strategies.
• Demonstrated track record managing strategies in any asset class.
• Strong hands-on software skills with the ability to read, interpret, and modify production code and write high-quality code in C++ and Python.
• Proven ability to work with engineers on systems architecture design.
• Demonstrated experience designing and executing a research agenda from idea generation through implementation.
• Ability to optimize monetization algorithms.
• Experience with advanced non-linear modeling techniques.

Responsibilities

• Lead and scale the hedge fund's high-frequency trading business.
• Build and deploy principal HFT strategies across global equities and ETFs, futures, FX, and options targeting investment horizons from minutes to days.
• Drive monetization of existing infrastructure, utilizing existing quant and engineering resources and partnering with the central risk book and central stat arb teams.
• Work directly with engineering teams to design scalable systems architecture.
• Oversee strategy implementation and optimize algorithmic monetization.

Skills

HFT experience

Leadership

C++

Python

Systems architecture

Research planning

Monetization algorithms

Non-linear modeling

Tools

C++

Python

Job description

Banyak Group in New York is seeking a Head of HFT to manage research, trading, and technology teams across their high-frequency trading business. The role emphasizes scaling operations, deploying HFT strategies across equities, futures, FX and options, and collaborating with engineering to design scalable systems.

Ideal candidates will have 10+ years in HFT, a proven track record, and strong coding skills in C++ and Python.