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|Sector||Credit & Risk Management|
Quantitative Analyst Data Science
Working for a global Financial Services organisation, you will be required to perform a range of data science and risk analysis tasks in the global FI space, which range from small scale but rapid data analytics to the development and delivery of sophisticated solutions. Additionally, you will also be responsible for delivering enhanced data automation and visualisation capabilities to the team, and contribute to various ongoing statistical modelling activities.
Key tasks and responsibilities:
Core data science tasks, including:
o Collecting, cleaning and aggregating data,
o Statistical analysis and interpretation,
o Data exploration, visualization and presentation,
o Management of local data and databases,
o Automation of all of the above
Contribute to the proto-typing, implementation, deployment and support of the teams upcoming tactical and strategic risk modelling and data analytics.
Develop detailed understanding of the existing proprietary tools, models and processes, and progressively take on responsibility for support and enhancements.
Provide ad-hoc data analytics for the wider FI analytical teams as necessary, plus contribute to any technical training/demonstrations as necessary.
Develop a broad understanding of bank credit analysis and key industry developments.
SKILLS AND COMPETENCIES:
Previous data science and/or finance industry experience would be beneficial
Minumum MSc level qualification in a quantitative subject
High level of competency or fluency in R and Excel/VBA
Please note, prospective candidates must be eligible to work in the United Kingdom without Visa Sponsorship
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