Title: Product Manager

Industry: Banking

Type: Onsite

Location: New York City / NJ or Wilmington, DE (Work from NY City office or Wilmington, DE office)

Role Summary

In this role, you will be involved in end-to-end product management and seamless execution on client projects by collaborating with cross-functional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through data-based findings and product implementations.

Responsibilities

• Engage with senior management and business leaders to identify opportunities for improvement in the clients portfolio
• Establish Key Performance Indicators to measure the effectiveness of business decisions
• Independently address complex problems and suggest product process flows that will enhance customer experience on credit card
• Comfortable working with and defining product/process flows, customer journey map, creating and testing user stories, large datasets, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve issues
• Build robust strategies that positively impact the revenue and reduce losses for clients business
• Collaborate with team members to collect and analyze data/process flows
• Lead product/process flow enhancements leveraging Agile/product development concepts
• Leverage graphs, infographics, dashboards to visualize product enhancements
• Distill highly technical information into concise business presentations
• Create presentations and reports based on recommendations and findings

Basic Qualifications

• Bachelor's or Masters degree in Mathematics, Statistics, Economics, Computer Engineering or Analytics related field
• 5+ years of experience in banking operations and credit card, preferably in fraud, disputes, collections operations domain
• 5+ years of product management experience in banking domain eg: implementation of new features or feature enhancement to banking wallet/app
• Hands-on experience with SAS/Hadoop Hive, SQL, Tableau and Microsoft Office
• Excellent communication, presentation and story building skills
• Strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problems

Good to have Qualifications

• SAS, Hadoop Hive, Python, R, Unix, Teradata and other statistical software knowledge
• JIRA, Confluence, product and process flow documentation knowledge
• Led teams and driven product changes for banking mobile application, payment networks
• Ability to adapt to emerging analytic tools and solutions into standard operating procedures
• Knowledge of basic machine learning algorithms like decision trees, regression models and clustering