- Provide analytical insights into problems, emerging trends and changes to portfolio
- Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
- Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets
- Case rating Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc.
- Ensure that we balance automation goals with loss.
- Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality.
- Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
- Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
- Understand new products, features and trends and their impact to back-office reviews.
- Identifying present or future gaps in the team s existing reporting and tools suite
- Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business
What do you need to bring
- Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
- Proven experience in using data and analytics to drive innovation in business processes to reduce manual efforts
- Be data-driven and outcome-focused
- Must have good business judgment with demonstrated ability to think creatively and strategically
- Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
- Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
- Proven experience in working with multiple teams and stakeholders to deliver business outcomes.
- Proven experience in engaging with senior leadership teams to set up roadmap and to showcase project outputs
- Degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 10+ years experience. Work experience in risk management, data science in the payments space or banking/finance services industry would be particularly desirable.
- Proficiency using SQL and querying relational databases
- Experience in at least one statistical programming language (SAS, R, Python)
- Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
- Knowledge of latest developments in AI and how they can be used for enterprise level solutions
- Hands on experience with project/program management or working with PMO teams to deliver projects
- Team management skills to mentor team members to get best results
- Drive a culture of innovation in the team and proactively come up with ideas
