Join us as a ALM Quantitative Analyst AVP within QA Treasury team in London supporting Treasury Finance to manage Interest Rates Risk by developing statistical models for forecasting asset and liability behavioural balances.
To be successful in this role, you should have:
Experience in developing quantitative behavioural models in Asset Liability & Management.
Deep understanding of statistical and econometric modelling techniques - e.g. time series analysis, regression models and various estimation techniques.
Excellent communication skills, including the ability to discuss technical matters with a non-technical audience as well as being proficient in python programming
Some other highly valued skills may include:
Previous experience in modelling non-maturing deposits, mortgage prepayment or mortgage completion models
Strong experience in analysing large volumes of data including cleaning and subsequent pattern identification and clustering
Experience developing, implementing of models which utilise more complex Machine learning techniques.
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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