Data Science Associate

Responsibilities

• Support portfolio management across credit risk, balance sheet optimisation, and capital efficiency through data-driven insights.
• Take end-to-end analytical ownership from data analysis and model development to implementation and ongoing enhancement.
• Partner with internal Structuring, Treasury, and Middle Office teams to execute new structured transactions.
• Contribute to the evolution of the analytics platform, including the practical application of AI and advanced techniques.
• Support wider portfolio optimisation initiatives, analytics, returns, and model enhancements.
• Manage and optimize structured transactions in collaboration with internal teams and external parties such as rating agencies and agent banks.

Requirements

• Strong quantitative background in fields such as Mathematics, Physics, Engineering, or Economics.
• Proficiency in Python, specifically using libraries like pandas and NumPy.
• Working knowledge of SQL and a solid understanding of data structures and data quality.
• Basic understanding of credit risk concepts (e.g., PD, LGD, EAD, RWA) or the ability to learn them quickly.
• Strong problem-solving skills with the ability to write clear, well-structured, and production-ready code.
• Proactive and independent working style with excellent communication skills to explain analytical outputs.

Preferred Qualifications

• Exposure to portfolio analytics, credit risk, securitisation, or balance sheet management.
• Experience working with financial datasets or relevant academic projects.
• Familiarity with basic machine learning or statistical techniques.
• Interest in or exposure to AI techniques for financial analytics and workflow optimisation.
• Awareness of working within a regulated environment.

About the Company

Barclays is a leading international financial institution. Our team in Portfolio Hedging & Optimisation (PH&O) develops analytical capabilities to assess portfolio behaviour, inform risk and capital decisions, and support transaction execution. We value respect, integrity, service, excellence, and stewardship.