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Decision Science Managers

Aspire Data Recruitment
Job LocationLondon
EducationNot Mentioned
Salary70,000 - 85,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Decision Science ManagersLondon (1 day in the office)to £85,000 + bonus, flex & benefitsSitting within the Risk function, Decision Science is a centre of excellence for analytics, modelling, and customer insights. The team support the wider Risk division by:

  • Delivering sophisticated data analytics and modelling to support retail and commercial customer needs and credit decisions across the credit lifecycle
  • Supporting the banks prudential requirements such as capital and impairment allocation, and capital optimisation
The job.
  • Take ownership for delivery of modelling and analytic projects, ensuring these are completed in line with business requirements.
  • Lead the design of modelling solutions (model developments, calibrations, analytics etc.) to high technical standards and following internal policies and external regulation.
  • Think about data differently, using it to really understand customer behaviour and credit performance and to tell a story to the business to influence decision making.
  • Build positive relationships with colleagues and partners across the organisation and communicate clearly to agree modelling proposals and present recommendations.
  • Provide technical leadership, mentoring and management to less experienced team members.
  • Participate actively in the Decision Science management team, supporting senior managers in delivering of wider team initiatives and proactively contributing to development of positive team culture.
Your background.
  • Experienced in the use of programming languages (e.g., SAS, SQL, Python) to manipulate data and in the use of statistical modelling techniques
  • Knowledgeable in the fundamental principles of banking, credit risk management, economics.
  • Analytical problem solvers, combining innovation and creativity with understanding of the business and regulatory environment.
  • Well organised and able to lead analytical and modelling projects to a high standard and with limited guidance.
  • Effective communicators, building positive relationships with partners and communicating recommendations clearly to influence business decisions.
  • Proactive approach to personal development and supporting the development of less experienced colleagues
  • Comfortable working with numbers and have either a good degree in a numerate subject or equivalent quantitative experience gained in previous roles

Keyskills :
Credit RiskRisk ModelsSQLStatisticsSAS

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