Job Description

Embark on a transformative journey as Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

The Portfolio Credit Analytics & Strategy team is at the forefront of shaping Barclays unsecured lending strategies through rigorous data analysis and actionable insights. Working closely with senior leaders across Product, Finance, and Risk, the team drives strategic recommendations on Product, Affordability, and Securitization, with a strong focus on analytical quantification. As an in-business function, the team primarily supports the analytical agenda for unsecured lending products, including, but not limited to, Pricing and Limit strategies, ensuring robust decision-making at every turn.

To be successful in this role as a Decision Analyst in Barclays UK, you should possess the following skillsets:
- Really strong data skills using SAS, SQL & Python.




- A decision analyst must possess solid analytical and quantitative skills to evaluate data, identify patterns and trends, and generate insights that support effective business decision-making.
- Attention to detail is critical for a decision analyst to ensure data accuracy, validate assumptions, and identify inconsistencies that could impact the quality of analyses or recommendations.
- Hands-on experience in developing predictive statistical models, forecasting techniques, machine learning & Risk-Reward models, demonstrating your proficiency in applying advanced analytics to real business challenges.
- Solid proven experience in making strategic recommendations through analytics in Unsecured lending (Cards/Loans/Overdrafts), Banking, Retail, eCommerce or pharmaceutical domains.
- Decision analysts must demonstrate critical and strategic thinking, enabling them to solve complex business problems, assess trade-of

📌 Decision Analyst (Noida)
🏢 Barclays
📍 Noida