Economist

You will support and lead the development of model-driven forecasts and analysis for the UK's economy, credit markets, regions, sectors and socio-demographic segments. Examples of the range of client projects recently undertaken include building loss forecasting models, concentration risk analysis, stress testing and running local area impact scenarios. Clients include first and second tier banking and financial services companies, commercial real estate, retail and public sector. You will be reporting to the Analytics Engineer Manager.

What you'll do:

Data Analysis

• Analyze, model, and forecast large, complex datasets
• Build econometric and credit risk models
• Identify valuable insights and data features
• Create clear visualizations, dashboards, and reports
• Present findings to clients and stakeholders
• Ensure data quality and documentation

Project Management

• Define scope, timelines, and resources
• Manage delivery, risks, and reporting
• Maintain quality and profitability

Client & Stakeholder Management

• Lead client discussions and presentations
• Build strong, consultative relationships
• Support sales and account growth

Innovation & Problem Solving

• Resolve data and process issues
• Improve methods, tools, and products

Teamwork & Development

• Mentor junior team members
• Collaborate across teams
• Continuously develop skills and industry knowledge

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agri finance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

What you'll bring:

• University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics)
• 4+ years of experience in the field of data analytics
• Advanced Knowledge in statistical software packages and other related technologies
• Create custom, web-based visuals with tools like Tableau, Power BI
• Ability to leverage cross-functional tools and bring them together into clean dashboards e.g. database technologies (graph databases, relational databases), analytics tools (e.g. Hadoop), modelling tools (e.g. Python, R), visualization tools (e.g., Tableau, Power BI);
• Anticipate and balance the varied interests and conflicting needs of stakeholders;
• Fluent English – written and spoken

What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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