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Middle (2-5 ani), Entry (0-2 ani)
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Assess project requirements and available data to consider modeling approach
Confirm project requirements by studying user and project requirements; confer with others on project team to establish a common understanding of modeling issues.
Develop modeling plan and seek feedback from client facing team and client
Create high quality models that result in high quality client deliverables
Maintain documentation that allows for complete knowledge transfer to new and existing staff.
Coordinate with other team members to either obtain or provide support
Maintain client confidence and protect confidentiality of information.
Provide insights to client inquiries and deliver high level of service.
Enhance comprehension of team regarding statistical models and statistical methods
Maintain technical knowledge by attending educational workshops; reviewing publications; establishing personal networks; participating in technical societies.
Put in a theoretical structure
Managing the local talents and supervising new team members
PhD mathematics, predictive modeling,statistics
R or Python
Currently creating snow-flake schemas to increase data access efficiency
Ability to translate data relationships into models
Experience in any industry (. marketing industry)
Hands on building predictive models - practical modeller
Modelling experience in a business environment
ETL experience to add attributes (technology used: scheduled SQL scripts)
Proven track record working as a consultant in data analytics projects in Financial ServicesFamiliar with Risk Management approaches and requirements
Intermediate to advanced SQL skills to query and aggregate data
Excellent analytical and problem-solving skills
Strong oral and written communication skills in English language with the ability to effectively
Convey information in a clear and concise manner
Ability to translate data into meaningful and actionable recommendations
Ability to handle multiple, complex projects in a deadline-driven environment
Working knowledge of basic statistical concepts and methods, including regression analysis
Some experience working with MATLAB, IBM SPSS, SAS Business Intelligence or other similar modeling/analytics tools a plus
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