Overview Job Purpose This is a Python coding position with primary focus on enabling high quality input data for our index franchise. Responsibilities Identify data whose quality is suspect using predictive analytics techniques Create algorithms for rebalancing of indices according to the relevant index rule book clearly attributing the causes for changes in composition of indices Cleansing historical records of data by imputing null values with non-fictitious data and identifying high variance records using machine learning techniques Identifying, extracting, and transforming unstructured data into structured data for further processing using machine learning techniques Aid in automating mundane processes Knowledge and Experience Undergraduate degree, preferably in Math or Technology. Working knowledge with Python, Structured Query Language and Microsoft Excel. Knowledge of Statistics and experience applying these to machine learning models, analyzing results Good data visualization skills in Python Ability to work under stringent time constraints, multi-task and prioritize workload Strong written and verbal communication skills are essential Good organizational skills with keen attention to detail Ability to work as a part of a team and independently 2 to 3 years of relevant work experience Preferred Passed some or all three levels of the CFA Program or working towards the CFA charter Knowledge of and/or experience within Equity and Fixed Income Markets, focus on data quality, identifying & analyzing corporate actions Schedule This role offers work from home flexibility of one day per week.