We are hiring for Senior Data Scientist for Wholesale banking team supporting Chief Digital ofifcer.
Ideally we are hiring for someone with strong experience in credit risk, FX and front office trading.
Design algorithms, build models, and prototype solutions for multiple projects.
Work closely with infrastructure providers to translate prototypes into production solutions.
Use machine learning and large-scale data mining techniques to discover and identify actionable patterns in data and develop hypotheses and models
Design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights
Manage stakeholders and guide them in unlocking the value in their data
Use a scientific method and strive for positive results at all times, balanced with working in an ‘Agile’ way to achieve rapid turnaround.
Strong academic background with a Masters in Computer Science, Mathematics or other quantitative fields
Hands-on experience in the research, design and evaluation of machine learning approaches (regression, clustering, SVM, neural networks and dimensionality reduction techniques) to solve real world problems.
KDB in memory relational database experience is a must
Experience with building and normalizing data
Proficiency in Python; with familiarity in ML packages such as Tensorflow, PyTorch etc.
Hands-on experience in Big Data analysis platform such as Apache Spark and experience of semantic queries and Graph data models
Ability to write clean, scalable, production-ready code.
Ability to communicate technical concepts and results to a non-technical audience and a keen interest in understanding business requirements
Understanding of Equities, Fixed Income, FX and Commodities products is preferred.
Inquisitive nature with an eagerness to investigate and fully understand products, processes and issues.
Level fitment will be based on candidates' relevant experience and qualification.