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Senior Lead - Financial Wellness Analytics Role

6.00 to 10.00 Years   Bangalore   01 Feb, 2023
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManagement Consulting / Strategy
Functional AreaFinance / Accounts / Tax
EmploymentTypeFull-time

Job Description

    The Value You Deliver - Working closely with business partners to understand business requirements and convert the same into a data-related questions and answer them using analytical techniques - Building a reputation with partners as a person who can provide solutions to business problems - Use ML techniques including Regression, Decision Trees, Random Forest, SVM, Hyperparameter Tuning, - Boosting techniques and Regularization to solve for business problems that require data to be used for KPI optimizations - Identify scope for solving business problems using newer and complex ML models like ANN, RNN/LSTM/Seq2Seq Modeling and NLP techniques - Learning the business and using the acquired knowledge to provide insights using Data Modeling, Visualization and Data/Text mining techniques - Focusing on innovation, and operating independently in an environment strongly engaged in creating impact for the business - Communicating and presenting the analysis/key findings to senior stakeholders in a clear and concise manner. - Recommending an action plan for the business, Product Area and Domain business partners The Skills that are Key to this role Technical / Behavioral:- Experience in Data, having a flair for Quantitative Analysis with software tools, such as R and Python - Ability to provide insights and recommendations using strong analytical skills; striving to convince key company decision makers of business benefits of the proposed solutions - Exhibiting high degree of pro-activeness in analyzing customer behavior to influence changes - Knowledgeable and experienced in applying statistics, data modeling and analytics techniques in a professional context - Expert in handling large amounts of data (structured & unstructured) - Ability to solve problems using ML techniques including, but not limited to, Regression, Classification, Decision Trees, Random Forest and SVM - Knowledge of advanced ML models including Neural Networks, Natural Language Processing would be advantageous - Excellent written and verbal communication skills are required,

Keyskills :
team managementcustomer relationsdeliverydocumentationautomationstrong analytical skillsnatural language processingdata modelingdecision treesneural networks

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