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2 дня назад

Analytics and Statistics Manager - Savings

72 702 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics and Statistics Manager - Savings (Financial Services/Forecasting): Developing and enhancing savings forecasting models, analytical tools, and insights to support balance, proposition, income, and pricing decisions with an accent on time-series analysis, statistical modelling, and scenario planning. Focus on automating forecasting processes, analysing customer and market trends, and translating complex analytics into actionable commercial decisions.

Location: Hybrid in Leeds, Birmingham or Bristol, UK, with at least two days per week or 40% of working time at an office site

Salary: £72,702–£80,780 per year

Company

hirify.global is a major UK financial services organisation focused on supporting customers, colleagues and communities.

What you will do

  • Develop, maintain and enhance savings forecasting models supporting balance, proposition, income and pricing decisions.
  • Perform forecasting, scenario modelling and sensitivity analysis for business planning and commercial decisions.
  • Translate business assumptions, pricing actions and market insights into analytical models and outputs.
  • Develop forecasting methodologies and new analytics tools while automating processes and reducing manual intervention.
  • Analyse customer, competitor and market trends to improve understanding of future performance.
  • Produce actionable insights and collaborate with Commercial, Pricing, Finance, Product and Analytics stakeholders.

Requirements

  • Experience in forecasting, analytics, modelling or data science within financial services or a similar analytical environment.
  • Strong knowledge of forecasting techniques, time-series analysis, regression, driver modelling and quantitative methods.
  • Experience working with large and complex datasets, scenario analysis and sensitivity analysis.
  • Coding capability in SQL and either Python or R.
  • Advanced Excel and VBA skills, plus data visualisation and insight storytelling abilities.
  • Ability to explain technical concepts clearly to non-technical audiences.

Nice to have

  • Retail banking, savings or pricing experience.
  • Experience developing forecasting, scenario-planning or customer behaviour models.
  • Experience with analytical tool development, automation initiatives or Power BI.

Culture & Benefits

  • Commitment to diversity, equity and inclusion, learning and development.
  • Reasonable workplace adjustments for disabilities and flexibility in office attendance, location and working patterns where appropriate.
  • Pension contribution of up to 15% and an annual performance-related bonus.
  • Share schemes, including free shares, and lifestyle benefits such as discounted shopping.
  • 30 days of holiday plus bank holidays, wellbeing initiatives and parental leave policies.

Hiring process

  • Reasonable adjustments are available throughout the recruitment process.
  • Eligible applicants with a disability, long-term health condition or neurodivergent condition may receive a guaranteed interview through the Disability Confident Scheme.

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