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An established industry player is seeking a Quantitative Analyst AVP to join their dynamic QA Treasury team in London. This role involves supporting Treasury Finance by designing and implementing Python-based tools that enhance balance sheet sensitivity and risk metrics. The ideal candidate will have a strong background in financial mathematics and excellent communication skills to bridge technical discussions with non-technical stakeholders. This is a fantastic opportunity to contribute to impactful decision-making processes within a collaborative environment, while developing advanced analytics and modeling solutions.
Join us to apply for the Quantitative Analyst AVP role at Barclays.
This position is within the QA Treasury team in London, supporting Treasury Finance to manage Interest Rates Risk and Credit Rate Risk of the banking book.
You will be responsible for supporting Asset and Liabilities Management (ALM) & Hedge accounting stakeholders in Finance & Risk by designing, implementing, and deploying Python-based tools for balance sheet sensitivity and risk metrics. Collaboration with business stakeholders and Technology partners to develop and deploy models is also required.
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making.
All colleagues are expected to embody Barclays' Values: Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.