Head of Predictive Analytics

7 days left

Recruiter
Aspire Data Recruitment
Location
London
Salary
110000.0000
Posted
02 May 2017
Closes
01 Jun 2017
Contract Type
Permanent
Hours
Full Time

Job Title: Head of Predictive Analytics

Location: London

Salary: to £125,000 + bonus & package

An opportunity to play a prominent role in the senior management team of a growing retail bank; you’ll be responsible for leading a team in data mining and discovery on new data sources (Internal/External/structured/unstructured) and developing new algorithms and predictive characteristics for decision making.

Responsibilities

  • Lead the team in data mining and data discovery on new data source (internal & external, structured & unstructured), and develop new algorithms and predictive characteristics for decision making
  • Lead the team in portfolio analytics on end to end credit cycle (prospecting, acquisition, ECM and collection for retail banking products (credit card, personal loan etc.).
  • Responsible for developing and deploying cutting edge customer analytic techniques and methodology (segmentation/clustering, forecasting, decision tree, machine learning, and survival analysis, etc.).
  • Engaged in big data analysis/research, web analytics, social media application for risk/business, especially in customer acquisition and customer engagement
  • Lead, develop and motivate the team to attract, retain and develop the capacity, capability and drive a team of world class data scientists.
  • Implement processes, infrastructure and resources needed to deliver agreed team plans and targets
  • Automate and streamline the processes to maximise integration, effectiveness and efficiency.

Candidate Profile

  • Considerable experience in credit risk/marketing analytics and strategy development & implementation experience in retail banking
  • Hands-on experience on using relevant software packages, i.e. SAS, SQL, NoSQL, Python, HADOOP, Spark, Java, Hive
  • Hands-on experience on statistical modelling/ machine learning technologies
  • Bachelor degree in Math, statistics, computer science and engineering etc
  • Good oral and written communication skills with the ability to communicate analysis and recommendations to colleagues and business stakeholders
  • Worked collaboratively with other colleagues
  • Team management experience including recruitment, training and performance management of resources.
  • Team player who thrives in a progressive and not heavily structured environment.
  • Strong leadership and team management skills.
  • Able to balance the creative and analytical demands of the role.
  • High level of project management and ability to implement a multitude of complex initiatives effectively