The candidate will be involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
• This is the perfect opportunity for the successful candidate to become a part of an energetic team that develops analysis tools.
Work with US stakeholders to support on identified opportunities in Risk area and hence drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Selecting features, building and optimizing classifiers using machine learning techniques
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Develop Natural Language Processing based framework to identify anomalous incidents
Develop processes and tools to monitor and analyze model performance and data accuracy.
Require 1-3 years of experience.
Complete hands on experience should be in R or Python and SAS
Knowledge and experience in statistical and data mining techniques : Segmentation, GLM/Regression, Bagging, Boosting, Trees, text mining, etc.
Experience in Financial domain.
Experience with Risk/compliance process.
About Our Client
Our Client has a history of 120 years towards providing client based financial solutions to help clients plan and achieve their financial objectives. It is a US based leading financial planning company having its headquarters in Minneapolis with a global footprint through its subsidiaries in South East Asia, Middle East, and Europe. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.
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|Shift Timing||Afternoon Shift|