Build Acquisition Risk Models using traditional and Machine Learning techniques.
Leverage a variety of technologies such as SAS, R, Python, H2O, Spark, and more to extract the value out of the data.
Deliver on all phases of development, from design through training, testing, validation, and implementation.
Engage with stakeholders to obtain requirements and set milestones to update on the model development progress in a periodic manner.
Practice your presentation and articulation skills to translate the complexity of your work to all types of audience.
Guide new data scientists to develop best in class models in compliance with the policies and procedures
An experienced Risk Data Scientist –who knows the technicalities and the complexities of the Model Development process and the demands of the Governance and Regulation.
Has good Judgment – knows when something does not add up and is not right. Has attention to details
Has ability to communicate results to diverse audiences
Qualifications
6+ years’ experience (less with the right academic experience)
Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or risk models
Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights
Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, Python, Spark) Proficient with MS Office suite
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Experience in a quantitative role in risk management at a financial institution with experience in model development
Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances
Bachelor’s/Universitydegree in statistics, mathematics, economics, or equivalent experience. Master’s/PhD degree is a plus
Risk ManagementRisk Analytics, Modeling, and ValidationFull timeWilmington Delaware United States$125,760.00 - $188,640.00