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2 часа назад

Lead Risk Analytics Data Scientist

125 000 - 155 000$
Формат работы
remote (только USA)
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

Lead Risk Analytics Data Scientist (AI): Designing premium structures from first principles for new merchant categories and verticals, validating them with limited data, and owning them through launch. Focus on building decision engines from monitoring functions, owning risk narratives with C-suite, architecting Risk Analytics data layers on dbt and Snowflake, and integrating AI tools like Claude to automate workflows.

Remote, US

Salary: $125,000 - $155,000 per year

Company

hirify.global revolutionizes post-purchase experiences for retailers with AI-driven solutions for customer service, returns, fulfillment, product/shipping protection, and fraud detection, partnering with over 1,000 merchants across industries.

What you will do

  • Price novel deals by designing premium structures from scratch for new product types, verticals, or partnerships, validating with thin data, and owning through launch.
  • Transform risk monitoring into a decision engine by building tools to recommend claims initiatives, premium adjustments, and program renegotiations based on loss ratios.
  • Own risk narratives and recommendations to senior leadership including C-suite when loss ratios shift.
  • Build and own the data architecture for Risk Analytics using dbt and Snowflake, setting models and standards.
  • Integrate AI tools like Claude to automate manual steps in risk analytics workflows and enhance team efficiency.

Requirements

  • Strong analytical skills in SQL, Python or R, pipeline development, data modeling (dbt, Snowflake), and visualization (Tableau, Streamlit).
  • 5+ years in actuarial pricing, predictive modeling, or Risk Analytics.
  • Ability to analyze data deeply and communicate insights to non-technical audiences.
  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field.
  • Holistic business thinking, empathy, humility, and curiosity.

Nice to have

  • Actuarial experience (e.g., ACAS or equivalent).
  • Excitement about AI tools like Claude and Gemini for efficiency.

Culture & Benefits

  • Collaborative team from diverse backgrounds.
  • Competitive salary, full medical/dental/vision benefits.
  • Stock in early-stage startup.
  • Generous flexible PTO.
  • 401(k) with financial guidance.

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