Remote Python Engineering Manager — Actuarial & Pricing

Jonus Group

Alpharetta (GA)

Remote

USD 100,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Fully remote
Leadership ownership
Career growth opportunities

Job summary

Jonus Group seeks a Python Engineering Manager for Actuarial to bridge actuarial science, software development, and data engineering in a fully remote role in the United States. You will lead engineers, build scalable Python applications, and drive cloud-based data workflows.

Lead cross-functional efforts with actuaries, improve data availability and governance, mentor teams, and influence pricing strategies.

Qualifications

  • 5+ years of solution engineering, data engineering, or data analytics experience.
  • 3+ years of hands-on Python development.
  • Experience leading and mentoring technical teams.
  • Experience with cloud platforms (AWS/Azure/Google Cloud).
  • Familiarity with P&C insurance data and actuarial concepts.

Responsibilities

  • Lead and mentor a team of engineers supporting actuarial and pricing functions.
  • Build scalable Python applications and automated actuarial solutions.
  • Develop portfolio rerating capabilities and tools supporting pricing analysis.
  • Partner with actuaries to improve data availability, quality, and usability.
  • Design and optimize cloud based data pipelines and workflows.
  • Drive automation and advanced analytics across actuarial processes.
  • Establish strong data governance, controls, and documentation.
  • Partner across Actuarial, Data Engineering, and Technology teams to deliver large scale initiatives.

Skills

Python development
Team leadership
Cloud platforms
Data engineering
Actuarial data concepts
Pricing analytics
Automation
Data governance

Tools

AWS
Azure
SageMaker
Tableau
Power BI

Job description

Jonus Group seeks a Python Engineering Manager for Actuarial to bridge actuarial science, software development, and data engineering in a fully remote role in the United States. You will lead engineers, build scalable Python applications, and drive cloud-based data workflows.

Lead cross-functional efforts with actuaries, improve data availability and governance, mentor teams, and influence pricing strategies.

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