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5 дней назад

Manager of CTA Intraday Monetization (Quantitative Trading)

275 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Manager of CTA Intraday Monetization (Quantitative Trading): Managing quantitative research, mathematical models, and systematic futures and FX trading strategies with an accent on market impact, trading-cost control, and AI-powered research systems. Focus on designing optimization algorithms, validating simulation and live trading applications, and building cloud-based data pipelines and LLM-enabled applications.

Location: New York, New York, United States

Minimum base salary: $275,000 per year, plus potential benefits and 401(k) contributions.

Company

Investment management firm developing quantitative and systematic investment strategies across futures, FX, and other asset classes.

What you will do

  • Formulate mathematical models and objective functions for quantitative investment strategies.
  • Manage the implementation, analysis, and improvement of systematic trading strategies using KDB/Q and Python.
  • Direct algorithms for optimization problems and guide the application of regression, machine learning, and statistical inference.
  • Lead market-impact modeling and trading-cost control for systematic futures and FX strategies.
  • Develop and present new trading ideas, investigate statistical effects, and implement strategies to monetize validated signals.
  • Manage simulation and live-trading validation, data processing, automation, and application development using Python and Shell scripts.

Requirements

  • Master’s degree in Business Analytics, Mathematical Finance, Financial Engineering, or a related field.
  • At least 3 years of experience in the position offered or as a Quantitative Researcher.
  • Experience applying quantitative research, statistical modeling, machine learning, predictive analytics, and large-scale data analysis.
  • Programming experience with Python and KDB/Q for analytical applications, data pipelines, and automation tools.
  • Experience with Bayesian models, Monte Carlo simulations, forecasting, scenario analysis, hypothesis testing, and alternative data.
  • Experience building AI-powered research systems, autonomous and multi-agent frameworks, cloud data pipelines, and LLM applications using ChatGPT, Gemini, and LangChain.

Culture & Benefits

  • Potential health, dental, and other wellness benefits.
  • Potential 401(k) contributions.
  • Compensation and benefits are determined based on multiple factors.

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