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Quantitative Researcher (Trading & Execution)

175 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Quantitative Researcher (Fintech): Developing and optimizing systematic execution strategies and electronic trading algorithms with an accent on market microstructure, micro-pricing, and quantitative modeling. Focus on building analytics tools, estimating execution performance, and calibrating market impact models to enhance trading cost efficiency.

Location: New York, New York, United States

Salary: $175,000–$250,000

Company

hirify.global is a global multi-manager hedge fund that invests across diverse strategies including Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income.

What you will do

  • Develop and calibrate market impact models for real-time trading systems and simulations.
  • Measure and monitor systematic execution performance to reduce trading costs through rigorous experimentation.
  • Maintain strategy routing tables to probabilistically direct flow across brokers and algorithms.
  • Collaborate with portfolio managers, traders, and technologists to research and refine electronic trading solutions.
  • Establish frameworks for normalizing datasets required for execution analytics.
  • Provide technical expertise on order scheduling, routing, slicing, and venue selection.

Requirements

  • PhD or master's degree in mathematics, statistics, computer science, or financial engineering.
  • Minimum of 3 years of experience in execution research and algorithmic trading.
  • Strong expertise in modeling, statistics, probability, and optimization.
  • Solid programming skills including Linux, KDB/Q, and Python.
  • Deep understanding of equities trading, market microstructure, and micro-pricing.
  • Excellent analytical and communication skills with the ability to manage multiple tasks in a fast-paced environment.

Nice to have

  • Experience with optimization, machine learning, and data visualization.
  • Prior experience in trading signals and alpha research.
  • Ability to identify and implement system improvements independently.

Culture & Benefits

  • Collaborative and teamwork-oriented environment that encourages idea sharing at all levels.
  • Commitment to ongoing learning and educational development.
  • Empowering culture that values innovation and ambitious goals.
  • Inclusion initiatives and community-focused service programs.
  • Competitive benefits package and performance-based bonus eligibility.

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