Roles and responsibilities
- Translate business objectives into analytic approaches, and identify data sources to support analysis.
- Analyse and model structured data using advanced statistical methods
- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyse historical data and identify patterns.
- Analyse data using R, open source packages and commercial/enterprise applications.
- Perform machine learning, Text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modelling, time-series analysis, regression, statistical inference, and validation methods.
- Implement algorithms and software needed to perform analyses
- Drive client engagements focused on Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.
- Interface with databases (SQL) to extract, transform and load data
- Communicate results and educate others through reports and presentations.
Technical skills
- Ability to break down complex problems, and develop strategies to solve them
- Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or related fields, with 5+ years of relevant experience
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint is a PLUS
- Expertise in at least one of the following fields: machine learning, statistical modeling, data mining, or information retrieval with good experience of end-to-end analytical process
- Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing
- Good experience in data extraction and processing, using SQL
- Exposure to analytics related to financial services domain is preferred
- Proficiency in analytics tools like R, SAS
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