Growth Strategy & Analytics Lead

Raylo Group

Greater London

Hybride

GBP 70 000 - 110 000

Plein temps

Il y a 5 heures
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Avantages offerts par ce poste

Hybrid working model
Stock options for all employees
Private Medical Insurance
33 days off (25 days + 8 bank holidays

Résumé du poste

Raylo Group is transforming how devices are bought and used, with AI-powered decisioning and a circular economy approach. The Credit and Fraud Strategy team drives growth through advanced analytics, data-driven decisioning, and collaboration across Product, Engineering, and Growth.

The role focuses on scalable data platforms and explainable decisions. We value fast-moving, high-ownership environments and offer a hybrid working model with strong benefits, including stock options and private

Qualifications

  • 3-5 years of experience in strategy, analytics, or product/data roles in fast-paced, data-driven environments.
  • 2:1 or above from a top university, ideally STEM
  • Hands-on daily use of AI tools (e.g., Claude, Copilot) to accelerate insight-to-implementation cycles
  • Strong working knowledge of SQL; Python is a strong plus
  • Track record of moving from ambiguous problems to in-market impact using data

Responsabilités

  • Lead strategic projects to drive growth through better credit decisioning.
  • Investigate key drivers of performance and identify opportunities for improvement.
  • Use AI to boost analytical capabilities and drive innovation in monitoring and automation.
  • Collaborate with Product and Engineering on technical design of rule changes and data sources.
  • Partner with Growth and Marketing to develop seamless customer experiences and reduce friction in decisions.
  • Design scalable data frameworks and tracking systems with strong controls.

Connaissances

SQL
Python
AI tools
Data analytics
Decisioning

Formation

Bachelor's degree in STEM

Outils

Copilot
Claude
Data warehouses

Description du poste

Raylo Group is transforming how devices are bought and used, with AI-powered decisioning and a circular economy approach. The Credit and Fraud Strategy team drives growth through advanced analytics, data-driven decisioning, and collaboration across Product, Engineering, and Growth.

The role focuses on scalable data platforms and explainable decisions. We value fast-moving, high-ownership environments and offer a hybrid working model with strong benefits, including stock options and private

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