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1 месяц назад

Python Engineer Manager (Actuarial)

99 000 - 164 800$
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

Python Engineer Manager (Actuarial): Integrate solution development and data engineering into actuarial processes for personal and commercial auto insurance pricing strategies with an accent on scalable Python-based applications and cloud ecosystems. Focus on leading engineering teams, automating analytics workflows, and enforcing data governance for regulatory compliance.

Location: Onsite in Downers Grove, IL; Alpharetta, GA; or St. Louis, MO (US-based)

Salary: $99,000 - $164,800

Company

hirify.global is one of the nation’s leading specialized insurers focused on auto products and data-driven decision-making.

What you will do

  • Lead a team of engineers to deliver scalable data solutions, ensuring accuracy, cloud strategies, and professional growth.
  • Develop and maintain actuarial capabilities like portfolio re-rating processes using Python in cloud environments.
  • Collaborate with actuaries to structure data for pricing analytics, automation, and ingestion into governed ecosystems.
  • Drive innovation by optimizing workflows, adopting advanced analytics, and automating processes for efficiency.
  • Establish data governance protocols for compliance, security, and alignment with business KPIs.
  • Align data strategies with business objectives and provide training on pricing technologies.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Data Analytics or related field
  • 5+ years in solution/data engineering or analysis; 3+ years Python development with clean code
  • Proven experience managing and mentoring technical teams
  • Knowledge of data manipulation, ingestion patterns, and cloud platforms (AWS, Azure, Google Cloud)
  • Proficiency in data visualization tools like Tableau and Power BI
  • Experience in actuarial/research field supporting advanced analytics; familiarity with insurance data and regulations
  • Strong analytical, problem-solving, communication skills; track record in large-scale data projects

Nice to have

  • SAS proficiency
  • Test-driven development experience
  • Experience with Amazon SageMaker

Culture & Benefits

  • High-performing culture with personal development, professional challenges, and work-life balance
  • Comprehensive benefits: Medical, Dental, Vision, PTO, 401k
  • Commitment to diversity, equity, inclusion, and equal opportunity

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