Data Science Senior Analyst
What you’ll achieve
As a Data Science Analyst you will be responsible for assisting with the validation and risk assessment of models across all functions of DFS. A major focus of the role will be on the continued quality assurance of global credit application models and key European Banking & Finance regulatory models such as IFRS 9 ECL models and ICAAP models. The validation of these models underpins the quantification of credit loss for the financial & regulatory returns including regulatory capital requirements and impairment provisions. You will work with Decision Sciences on building out the validation process and schedule to ensure that all validations are completed within the agreed timeframe and according to documented regulatory guidelines.
You will:
Support the implementation of developed models from production through UAT and deployment.
Responsible to help develop machine learning models to predict customer behavior in different functions across DFS such as Fraud and Anti-Money Laundering.
Monitor and review model performance and metrics. Develop and maintain model documentation, policies and procedures.
Conduct periodic training, research and development of new models, methodologies and scorecard/model business usage.
Retrieval and manipulation of diverse data, performance of regular review and report generation, and maintenance of automated applications (e. g. Shiny). Derive appropriate action recommendations based on results from the analytical work conducted.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Degree in Statistics, Computer Science, Data Analytics, a related quantitative discipline or prior experience of 1+ years as a Data Scientist.
Experience with statistical modelling and analytic techniques.
Experience working with R or Python for Data Manipulation, Modelling and Visualization.
Good communication and presentation skills,
- starter with ability to work in a
- paced environment. Ability to effectively understand and communicate technical work to a wide audience is required.
End-to-end experience with data, including querying, aggregation, and visualization is required. Experience of producing and developing reports/dashboards using SQL, R Markdown, Flex
Dashboard and html
Widgets.
Desirable Requirements
Previous experience operating in a regulated financial entity.
IFRS 9 ECL or GVAR Macroeconomic modelling experience a major plus.
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