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|Sector||Credit & Risk Management|
A Global Investment Bank is looking for a Lead Data Scientist to join their growing team. The role supports various analytical and highly quantitative projects. They will enable the bank to monitor their transaction activity and generate automated alerts for activities that may be unusual and non-compliant with regulatory requirements and internal standards.
Support bank-wide Model Risk Governance framework.
Develop solutions using various analytical techniques.
Gather business requirements from senior stakeholders and translate their business brief into technical solution design.
Develop product backlog in consultation with senior data scientists and provide technical guidance to the development team to ensure the solution meets business brief.
Develop big data analytics and other infrastructure platforms for solution design.
Development of model and data attestation frameworks.
Creative and analytical thought process and aptitude for problem solving.
Post Graduate qualifications (PhD in Physics, Engineering, Applied Mathematics, Statistics, Econometrics, or other relevant quantitative discipline)
Knowledge of statistical and numerical techniques, data manipulation, feature engineering, linear and non-linear regressions, predicitive modelling, machine learning.
Project based business knowledge, and awareness of model risk governance.
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