Lead Risk Analytics Data Scientist

1. About Our Client:

The organization operates in the post-purchase retail technology space, addressing challenges in customer satisfaction and revenue growth for merchants. It provides AI-driven solutions including automated customer service, returns and exchange management, fulfillment, product and shipping protection, as well as fraud detection. Serving over 1,000 merchant partners across various industries such as fashion, cosmetics, furniture, and electronics, the company integrates advanced technology with customer service to help businesses build trust and improve profitability.

2. About the Opportunity:

The Lead Risk Analytics Data Scientist role is central to the Risk, Analytics & Data Science team, focusing on risk monitoring for product and shipping protection offerings. This position impacts the organization by maintaining healthy loss ratios through data-driven premium adjustments, underwriting, and claims initiatives, influencing business decisions with analytics. It involves collaborating across teams to develop premiums for new products and merchant categories, contributing from deal negotiation through launch. The role also includes ownership of data architecture for Risk Analytics, leveraging modern infrastructure and AI tools to innovate pricing and risk assessment processes.

3. Responsibilities:

• Design premium structures for new merchant categories and products without existing models

• Develop tools to transform risk monitoring into actionable decision-making

• Communicate risk insights and loss ratio explanations to senior leadership including the C-suite

• Create and maintain the data models and infrastructure for the Risk Analytics function

• Implement AI-driven automation to improve efficiency in risk analytics workflows

4. Requirements:

• 5+ years experience in actuarial pricing, predictive modeling, or related Risk Analytics fields

• Proficiency with SQL, Python or R, data pipeline development, data modeling tools (dbt, Snowflake), and visualization software (Tableau or Streamlit)

• Strong analytical skills with ability to communicate complex data insights to diverse audiences

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field

• Preferred but not required: actuarial credentials such as ACAS or equivalent exam progress

• Enthusiasm for AI technologies and applying them to improve operational efficiency

• Ability to consider broader business challenges beyond insurance and prioritize holistic solutions

• Personal qualities of empathy, humility, and curiosity

5. Pay Range and Compensation Package:

• Expected salary range: $125,000 - $155,000 per year, determined by experience, skills, and other factors

6. Benefits & Perks:

• Full medical, dental, and vision benefits

• Competitive salary based on experience

• Stock options in a rapidly growing early-stage startup

• Generous and flexible paid time off policy

• 401(k) plan with financial guidance from Morgan

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.