Pricing Decision Analyst

Barclays; Greater London; On-site; GBP 65,000 - 95,000; Full time

Job summary

Barclays in London is seeking a Price Decision Analyst to extract insights from complex data, develop pricing and decisioning models, and deliver actionable recommendations to stakeholders across multiple departments.

You will use SAS and SQL, advanced Excel, data mining, and governance practices to maintain pricing models, spot optimization opportunities, and implement model enhancements with cross-functional teams.

Qualifications

• Experience in SAS and SQL coding with data mining techniques.
• Ability to identify trends, extract insights, and translate analysis into recommendations.
• Experience contributing to commercial strategy through data-led decisions.
• Able to prepare executive decision papers and present to senior stakeholders.
• Financial Services experience with product knowledge, customer types, and risk awareness.

Responsibilities

• Extract relevant data from multiple internal and external sources.
• Perform sensitivity analysis and scenario planning.
• Monitor and evaluate model performance.
• Develop and implement data quality control procedures.
• Build and validate quantitative models to support decision-making.

Skills

SAS

SQL

Data mining

Data analytics

Strategic thinking

Executive presentations

Financial services knowledge

Tools

Excel

Job description

Join us as a Price Decision Analyst, where you will extract meaningful insights from complex data sets, develop robust pricing and decisioning models, and provide actionable recommendations to stakeholders across multiple departments. You will play a key role in supporting, developing, maintaining, and governing pricing models, ensuring accuracy, consistency, and compliance with business standards. Using SAS-based pricing tools and advanced Excel capabilities, you will analyse pricing performance, identify opportunities for optimisation, and implement model enhancements and changes as required. This is an exciting opportunity to influence strategic pricing decisions, drive commercial outcomes, and collaborate closely with cross-functional teams to deliver data-driven solutions.

To be successful as a Pricing Decision Analyst, you must have the following essential skills

• Experience in coding, particularly using SAS and SQL, with a solid understanding of data mining techniques.
• Experience in data analytics with the ability to identify trends, draw insights, and translate analysis into clear, actionable recommendations for the business.
• Experience in strategic planning - contribute to and help drive commercial strategy through informed, data-led decision-making.
• Ability to prepare executive decision papers and presentations, and confidently present to senior stakeholders.
• Proven experience within Financial Services, with a good understanding of products, customer types, and associate risk considerations.

Some Other Highly Valued Skills May Include

• Experience supporting the development and implementation of new technical tools and capabilities.
• Experience in Business Banking with a considerable understanding of banking products.
• Background in Lending, Credit Writing, or Credit Risk assessment.
• Proven experience contributing to pricing decisions and working with pricing models.
• Experience in financial forecasting, planning, and conducting P&L (profit and loss) analysis.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role can be based in our London, Birmingham, Knutsford, or Northampton Offices.

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.

Accountabilities

• Identification and extraction of relevant data from various internal and external sources.
• Performing sensitivity analysis and scenario planning.
• Monitoring and evaluation of the performance of existing models.
• Development and implementation of data quality control procedures.
• Building and validation of quantitative models to support decision-making across different business areas.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.