AI-Driven Credit & Growth Analytics Manager

Story Terrace Inc.

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Device lease
Private Medical Insurance
Stock options
L&D budget
Hybrid working
33 days off
Enhanced parental leave
Workplace nursery

Job summary

Raylo is seeking a mid-level Analytics/Data professional to join our Credit and Fraud Strategy team in London. You’ll own analytics-driven decisioning for existing customers seeking more, using traditional and AI-enhanced approaches to identify growth and new data needs.

You’ll work with Product, Engineering, Growth and Marketing to design scalable data frameworks and explainable decisions. You’ll be immersed in a fast-paced environment with senior exposure from day one, and a clear path to

Qualifications

  • 5+ years of experience in analytics or data-focused collections and recovery strategy roles.
  • 2:1 or higher from a top university, preferably in a STEM or quantitative discipline.
  • Proficient in SQL and Python; able to translate data into actionable business decisions.

Responsibilities

  • Lead strategic analytics initiatives to optimise collections and recovery strategies.
  • Identify drivers of performance and opportunities for improvement.
  • Use AI-enabled analytics to enhance monitoring, automation, and decision making.
  • Collaborate with Product and Engineering on data-source integration and rule changes.
  • Partner with Growth and Marketing to shape customer experiences while reducing friction when decline is optimal.

Skills

SQL
Python
Stakeholder management
Data analytics

Education

2:1 degree in STEM or quantitative discipline

Job description

Raylo is seeking a mid-level Analytics/Data professional to join our Credit and Fraud Strategy team in London. You’ll own analytics-driven decisioning for existing customers seeking more, using traditional and AI-enhanced approaches to identify growth and new data needs.

You’ll work with Product, Engineering, Growth and Marketing to design scalable data frameworks and explainable decisions. You’ll be immersed in a fast-paced environment with senior exposure from day one, and a clear path to

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