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Lead Actuarial Data Scientist

ERGO NEXT Group INTERNAL
Hybrid

About The Position

ERGO NEXT is seeking an actuarial data scientist to lead all aspects of technical actuarial modeling, including pricing models, systems, and infrastructure. This role involves overseeing a team of actuarial data scientists within the ERGO Global Pricing Hub and providing guidance on actuarial aspects of models developed by ERGO NEXT actuaries and data scientists. This is a high-visibility, high-impact position focused on transforming how ERGO NEXT delivers pricing and technical actuarial products to meet or exceed Global ERGO Technical Excellence standards.

Requirements

  • FCAS/ACAS mandatory
  • 8+ years of experience in a variety of actuarial domains, especially pricing
  • Familiarity with small commercial P&C insurance products
  • Comfortable using AI platforms to accelerate delivery and augment work products
  • Experience applying machine learning techniques to actuarial pricing
  • Strong communication skills and ability to influence
  • Comfortable working across time zones and countries
  • Project management experience
  • Ability to manage and lead in a fast-paced environment

Nice To Haves

  • People management experience a plus
  • Experience coding with SQL/R/Python
  • Machine Learning Algorithms and Feature Engineering
  • Data visualization in Tableau, PowerBi, or similar
  • Experience in actuarial software platforms such as Akur8 or Radar
  • Forward-thinking approach to leveraging AI platforms (such as Claude, Gemini, or ChatGPT) to drive operational efficiencies

Responsibilities

  • Develop a strategic roadmap and project plans for ERGO NEXT’s engagement with the ERGO Pricing Hub.
  • Establish and manage projects to timelines, ensuring high-quality output.
  • Establish ERGO NEXT as a leader in technical excellence in pricing, both internally and within the global ERGO community.
  • Develop cutting-edge technical frameworks for actuarial modeling leveraging AI, ML, and actuarial research.
  • Establish standards for actuarial model review and validation and deploy these standards across all actuarial technical modeling work.
  • Collaborate with legal and compliance teams to ensure actuarial modeling meets US actuarial professional and legal standards.
  • Work regularly with executive staff on critical business issues, providing insights and solutions that support strategic priorities.
  • Translate complex data into compelling executive-level presentations.
  • Communicate and influence decision-making across multiple functional areas on results of studies and analytics.
  • Delegate and direct individuals supporting individual projects, holding a high standard of quality in their work.

Benefits

  • Equal employment opportunities to all employees and applicants of any type
  • Does not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws.
  • Policy to comply with all applicable laws related to nondiscrimination and equal opportunity
  • Will not tolerate discrimination or harassment based on any of these characteristics.
  • Policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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