Verified Job
Accounting - Finance
Credit Portfolio Supervisor
Accounting - Finance
#224931
Remote / WFH
Job Description
Job Id: 22478637
Job Description
About Citi:
• Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets lending money, making payments and accessing the capital markets on behalf of our clients
What do we offer?
• 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
Job Description
About Citi:
• Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets lending money, making payments and accessing the capital markets on behalf of our clients
What do we offer?
• 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
