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14 дней назад

Quantitative Researcher, Equity Mid-Frequency (Python/KDB-Q)

165 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quantitative Researcher, Equity Mid-Frequency (Python/KDB-Q): Developing and implementing mathematical models and automated trading strategies for equities and other asset classes with an accent on statistical modeling, machine learning, market structure, and statistical arbitrage. Focus on researching trading signals, validating simulations and live trading applications, optimizing execution costs, and monitoring risk in automated trading systems.

Location: New York, New York, United States

Salary: $165,000–$170,000 per year base salary; 40 hours per week

Company

hirify.global is an investment management firm developing systematic and quantitative trading strategies.

What you will do

  • Formulate, implement, and improve mathematical and simulation models for computerized trading strategies.
  • Research statistical effects, generate quantitative signals, assess robustness, and develop new strategies across equities and other asset classes.
  • Validate and test trading simulations and critical automated trading applications.
  • Build Shell and Python applications for daily data dependency processing and use KDB/Q and Python to analyze strategy behavior.
  • Monitor live trading automata and associated risks while optimizing execution costs and researching market patterns.
  • Collaborate across teams and regions on mathematical models and analytical tools for investment decisions.

Requirements

  • Master’s degree or foreign equivalent in Statistics, Data Science, Electrical Engineering, Physics, Operations Research, Applied Mathematics, Theoretical Physics, Computer Science, Econometrics, or a related field.
  • At least 2 years of experience as a Quantitative Researcher, Investment Process Associate, or in a related role within an investment or asset management organization.
  • At least 2 years of experience using quantitative and statistical modeling techniques on large datasets to generate and validate trading signals.
  • At least 2 years of experience with Python and KDB/Q for researching, backtesting, and deploying automated systematic trading strategies.
  • Experience developing hypotheses, testing ideas, iterating efficiently in a data-driven environment, and translating quantitative analysis into models.

Culture & Benefits

  • Full-time role with a 40-hour workweek.
  • Base salary of $165,000–$170,000 per year; additional compensation and benefits may be available.
  • Equal opportunity and affirmative action employer.

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