Join us as a ALM Quantitative Analyst AVP within QA Treasury team in London supporting Treasury Finance to manage Interest Rates Risk and Credit rate Risk of banking book.
You will be responsible for supporting the 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. Additionally, you will collaborate with business stakeholders and Technology partners to develop and deploy models.
To be successful in this role, you should have:
Strong coding skills in Python, including close familiarity with Pandas and Numpy libraries
A solid foundation in financial mathematics, in particular bond and derivative pricing and discounting
Excellent communication skills, including the ability to discuss technical matters with a non-technical audience
Some other highly valued skills may include:
Systems engineering knowledge, including development of distributed systems
Previous experience in Treasury Finance model development or Treasury desk support
You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
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