Senior Analyst

4 days left

Liverpool (Speke) / London
05 Jun 2017
03 Jul 2017
Contract Type
Full Time

Role Purpose:

  • Shop Direct wishes to be a world class leader in the application of artificial intelligence (A.I.) to financial customer behaviour profiling. This is a critical role within a growing area of decisioning excellence at Shop Direct, seeking to utilise fully automated processes reliant upon leading edge modelling and decision capabilities.
  • Use the latest and most advanced techniques and data sources - support vector machines, random forests, and neural networks - to segment our portfolio, assess creditworthiness, and optimize decision making.
  • Use non-traditional Big Data sources such as website transactional data, social media data, and unstructured data sources.
  • Has responsibility for the development and implementation of machine learning solutions across the £1.5bn Shop Direct Financial Services (SDFS) portfolio.
  • To leverage the application of machine learning and A.I (artificial intelligence) to optimise risk decisioning and profitability across the SDFS portfolio.
  • To provide portfolio insight using machine learning techniques.
  • To develop and educate team members in machine learning techniques and their application.

Scope of Role:

  • Has responsibility for the development and implementation of machine learning across the £1.5bn SDFS portfolio.
  • Provide effective machine learning development, implementation, controls and monitoring for the portfolio exposures of circa £8bn, across acquisition, account management, fraud and collections.

Key Responsibilities / Projects:

Machine learning and A.I. (artificial intelligence)

  • Develop machine learning and A.I. (artificial intelligence) models and analytical solutions to optimise risk decisioning and profitability across the portfolio.
  • Identify appropriate opportunities to apply machine learning.
  • Create value from a variety of data sources, including web transactional data and unstructured data sources.
  • Project manage the implementation of machine learning models.
  • Ensure models are optimised and regularly monitored for degradation.
  • Ensure effective model governance routines are developed and documented.
  • Leverage machine learning approaches to increase efficiencies across SDFS.
  • Expand the team’s capabilities in machine learning and A.I.

Key Relationships:

  • Head of FS Decision Analytics (line manager)
  • Credit Risk Managers and Senior Managers
  • Business-wide analytical community
  • Credit Risk & Operations Director

Essential Knowledge, Skills, Experience or Role Specific Qualifications required:

  • Science or Mathematics based degree with good knowledge of statistics.
  • 1 yrs+ profession experience of modelling and statistical techniques for machine learning
  • 1 yrs+ experience of deployment of machine learning algorithms in a business environment, including project management.
  • Experience of working with large volumes of data (transactional, Weblogs), including data preparation and pre-processing.
  • Proven ability to deliver analytical solutions in challenging environments, either commercial or research based.
  • Strong analytical abilities
  • Ability to simplify complex concepts for non-technical audiences.
  • Experience of using either SAS, Python or R within a commercial environment.


  • A Master level qualification in a relevant field e.g. maths or computer science
  • A further qualification in machine learning or data science.
  • Experience of developing and deploying machine learning models within a retail or credit business.
  • Experience of subprime portfolio
  • Experience of working in a fast-paced environment.
  • Experience of running champion-challenger models and tests.

Excellent knowledge of machine learning tools, techniques, databases and decisioning packages e.g.: SAS Enterprise Miner, SAS Visual Analytics, R/Python, SQL, NoSQL, Teradata, Hadoop, Cassandra, Excel (Advanced), Tableau.

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