Job Description

We are a part of North America Cards team providing strategic and analytical support to nurture growth through developing multi-faceted strategies for bank and customer. With a pre-eminent global brand, our team delivers top-in class analytics & innovative solutions through various analytical techniques that address clients evolving needs. In order to achieve the best in class analytical solutions across business units we use the best in class tools and technology
In-Depth Analysis to understand key underlying trends and providing the business appropriate insights to aid in risk mitigation
Process Automation and streaming initiatives for better accuracy and efficiency
Product analytics: This includes analysis leading to new product development and/or feature change of existing products. Impact of product features and marketing offers are established through rigorous analytical efforts to understand the shift in customer requirements and sentiments to enable recommendation of necessary changes to drive customer delight along with profitability
Evaluate performance of segments / products / campaigns based on risk metrics such as Net credit losses, delinquency rates etc and recommend risk policy changes (e.g., bureau score cut-offs, age cut-offs, occupation exclusions, segment swap-in / swap-out etc) in consultation with Regional analytics / Regional In-business risk counterparts
Expertise Required:
Analytical Skills:
Problem Solving Ability to solve unstructured problems and generate insights that business can leverage
Provide support in the management and efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators
Proficient in SAS, Arcadia, Teradata, MS Excel, PowerPoint, SQL, Python and familiarity with Hadoop and related tools (Hive, Hue, Map Reduce, Impala, etc.)
Expertise in Tableau with Dashboards & different graphical representation of complex data sets is preferred.
Experience in EAP platforms preferred.
Prior Exposure to Risk / Credit Card / Transactional Data is preferred.
Traditional Modelling - Hands on expertise in statistical modelling techniques like Linear Regression, Logistic Regression, Decision Tree, Factor Analysis, Segmentation, Discriminant Analysis, Stochastic Process, Time Series is preferred
Previous experience in automation and handling large data sets is preferred
Should have excellent communication and inter-personal skills and ability to engage with multiple teams
Must have the capability to clearly articulate the nuances of analyses to both technical and non-technical audience.
Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities
Contribute to various initiatives at organizational level
Willing to work as the point of contact who would bridge the gap between Business requirements & IT challenges.
Ability to transform unstructured raw data into streamlined data sets for complex analytical solutions

Qualifications:
Masters / Bachelors degree in Statistics, Economics, Finance, Mathematics or a related quantitative field or Engineering /MBA background from a premier institute
2 years of hands on experience in delivering Analytical solutions, with good working knowledge in BFSI domain
Education: MBA/ PGDMr r r r r r r Any Graduate
Industry: Banking

Skills Required