Valuation Sr Analyst
Barclays · Posted Oct 7
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
This role sits within Barclays' US Consumer Bank (USCB) analytics function, where the team extracts insights from complex data sets, builds quantitative decision models, and presents actionable recommendations to stakeholders. The work focuses on automated forecasting and valuation of acquisition marketing investments across partners, channels, offers, and customer segments, using SAS, SQL, Python, machine learning, and AI agents. The Valuations Sr. Analyst leads the design and development of these automated forecasting and valuation solutions and partners with cross-functional teams on marketing investment optimization, based in the Gurugram office.
What you will do
- Develop automated solutions to forecast P&Ls across partners, channels, offers, and customer segments.
- Use SAS, SQL, and Python to source, transform, analyze, and validate large and complex datasets and to build scalable forecasting and valuation workflows
- Apply statistical modeling, machine learning, and advanced analytics to improve forecast accuracy, explain business drivers, and support investment decisions..
- Use AI agents effectively and responsibly to support research, coding, model development, documentation, testing, and process automation, with appropriate human review and control.
- Conduct marketing investment optimization across USCB to enable data-informed decision-making.
- Partner constructively with Barclays colleagues and cross-functional teams to deliver projects.
- Embed a clearly articulated risk culture within the function that reflects Barclays’ Purpose and Values.
- Model an open culture in which colleagues understand their drivers, strengths, and development areas, and where people skills receive the same priority as technical skills.
- Set performance standards and assume accountability for delivering the organization’s future goals and priorities; where appropriate, take calculated risks by delegating trust and responsibility across virtual teams.
- Maintain a culture in which involvement and knowledge sharing are essential to achieving shared objectives, and help advance the Data Strategy agenda by clarifying how business areas and functions contribute to the organization’s future success.
- Demonstrate thought leadership internally and externally
- 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.
Skills used in this role
What the employer is looking for
- You may be assessed on the key critical skills relevant for success in role, such as experience in SAS, SQL, Python to analyze large datasets, operationalize data platforms, and apply machine learning and advanced analytics to improve forecast accuracy.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
Recent coverage
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