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 client’s 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 client’s 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 Master’s 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
