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7 часов назад

Analytic Consultant (Fintech)

88 000 - 121 000$
Формат работы
remote (только USA)
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

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TL;DR

Analytic Consultant (Data Science/Fintech): Designing and deploying data-driven predictive models for global financial markets with an accent on consumer credit risk and statistical modeling. Focus on building scalable scoring solutions, analyzing large-scale credit datasets, and optimizing model performance using machine learning.

Location: Must be based in the United States (Work from Home)

Salary: $88,000 – $121,000

Company

A leading global analytics software company specializing in predictive modeling, AI, and credit scoring solutions for businesses worldwide.

What you will do

  • Design, develop, and deploy state-of-the-art predictive and decision models for the financial services industry.
  • Analyze large-scale consumer credit and bureau datasets to identify patterns and develop variables.
  • Apply statistical modeling, machine learning, and pattern recognition to improve model performance.
  • Collaborate with international clients to communicate modeling results and key insights.
  • Manage analytical work streams across simultaneous projects to meet internal and client deadlines.

Requirements

  • Master's degree in Applied Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
  • Relevant experience in financial services, fintech, insurance, or credit bureau environments.
  • Strong programming skills in Python, R, C++, Java, or MATLAB for manipulating large datasets.
  • Must be based in the United States.
  • Ability and willingness to work across international time zones to support global projects.

Nice to have

  • Exposure to cloud-based analytics platforms such as AWS, Azure, or GCP.

Culture & Benefits

  • Inclusive culture focusing on ownership and customer delight.
  • Competitive compensation and comprehensive benefits and rewards programs.
  • People-first environment with a focus on work-life balance and employee resource groups.
  • Opportunity to work with Big Data and AI in a global, high-impact setting.

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