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A top international investment bank is hiring for a senior Quant Analytics Specialist professional, within their model risk function, for a role that sits at the intersection of Data Science and Artificial Intelligence/Machine Learning Research, Technology and Quantitative Modeling. This role will primarily focus on AI/ML models, focusing on scaling up and increasing the frequency of their model validation operations, conducting extensive research to do so. Working in a fast paced environment, you will be focused on end-to-end concept design, building functionally complete prototypes, and producing complete specifications for implementation.
A Successful Candidate Will Have:
A PhD in computer science, electrical engineering, data science or a related function
At least 4 years of hands-on experience and extensive knowledge in engineering data and compute intensive systems
Knowledge of machine learning frameworks, with an emphasis on understanding their internals, key abstractions used, and underlying design decisions
Knowledge of AutoML systems
In depth knowledge of data science processes and everything that goes into building, testing and operating a model end-to-end
Excellent programming skills in one systems language such as C, C++, Java, Scala, and one specialized language such as R, Python or Julia
Knowledge of distributed computing frameworks
Deep understanding of data modeling and relational databases
Great verbal and written communication skills, as well as interpersonal skills and the ability to collaborate with other business lines