Advanced Analytics Role - Banking

The Key objectives are :

- Build strong capabilities in Big Data, Machine Learning, Digital & FinTech to solve key business challenges

- Continuously watch and learn from evolving trends

- Be forward compatible - explore new problem solving methods

Core Responsibilities :

- Develop new Solutions that have high impact on revenue, expense management or customer experience

- Use advanced Platforms (Big Data) and capabilities (Machine Learning) to improve ability to engage with customers

- Make consistent and tangible contributions towards developing capabilities in Big Data, Machine Learning and Pattern mining : Build solutions that improve customer targeting- like personalized offers (Recommender systems), Pricing/Product optimization, Journey mapping, Customer Acquisitions - Digital/Clickstream based real time offers and Channel management

Key skills:

- Signification exposure and proven ability in Deep learning, Natural Language processing and Understanding (NLP/NLU), Large Scale Machine Learning, Distributed systems for Machine learning

- Experienced in developing and deploying solutions in the space of machine learning in real-time platforms

- Proven problem solving skills in industrial settings 

- Ability to convert open ended business problems into analytical problems and developing solutions for them

- Competent programming aptitude with excellent computation and data mining skills 

- Competence in R, Python, SAS, SPSS, Java and Spark/Scala

Experience in (Alteast 3 of the below) :

- Big Data/HADOOP

- Text Analytics - Ability to synthesize unstructured data and find actionable themes/insights

- Pattern Mining/Detection

- Machine Learning Classification Algorithms

- Deep Learning and Neural Networks

- Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management

- Self-motivated to continuously upgrade one's domain knowledge, keep abreast of latest developments in the field and evaluate its application in the business area on a consistent basis