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3 дня назад

Quantitative Engineer / Python Developer (Python)

60 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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 Engineer / Python Developer (Python/statistical modeling): Building and validating quantitative and statistical models, signals, and financial-data methods within an existing Python plug-in framework. Focus on explaining mathematical reasoning, running framework test suites, delivering defined project scopes, and working with AWS-hosted infrastructure.

Location: Remote; support for a client located in San Antonio, Texas. US citizenship or permanent resident status required.

Salary: $60,000–$180,000 USD per year

Company

IT services and solutions provider supporting federal government agencies and commercial customers through talent solutions, analytics, cybersecurity, cloud migration, applications, infrastructure, software development, and finance and accounting services.

What you will do

  • Write quantitative and statistical functions in Python within an existing plug-in framework.
  • Build and validate signals, statistical analyses, and quantitative models for financial data.
  • Run work against the framework’s test suite and deliver against defined project scopes.
  • Work with AWS-hosted infrastructure.

Requirements

  • US citizenship or permanent resident status.
  • At least 2 years of experience writing Python for quantitative or statistical modeling.
  • Strong mathematics and statistics knowledge, including probability, distributions, regression, and time series.
  • Ability to explain the methods used and the reasoning behind them.
  • Applied experience working with financial or market data.
  • Working knowledge of AWS and ability to work independently with minimal oversight.

Culture & Benefits

  • Full-time employee position.
  • Competitive compensation package and employee benefits.
  • Work environment focused on rewarding work and diverse perspectives.
  • Experience supporting more than 30 federal agencies and multiple commercial customers.

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