Team Lead/Vice President - Collection Strategy Analytics - Credit Cards (10-18 yrs)

Retail Collection Strategy Team Lead - VP

Job Purpose:

- Rolling out MIS, Analytics and process set-up for Credit cards business from collections team.

- Working with the relevant stakeholders (Partner, BU, Tech, Ops & Compliance) on process setting and on technical aspects.

- End to end monitoring for Performance and productivity.

- Working on automations, developing User Stories, managing UAT for credit card collections.

- Leveraging the collection system to drive strategies to be rolled out to DCAs for better portfolio performance.

- Supporting in Budgeting and Forecasting activities.

Key Accountabilities:

- Develop and implement advanced analytics approaches including statistical modelling.

- Analyse big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line.

- Display strong storytelling and articulation skills to convert analytical output into clear, concise and persuasive insights for Collection action on overdue card accounts.

- Create advanced reports and dashboards to facilitate faster decision making.

- Should have expert knowledge in at least one of the statistical soft wares - SAS, SQL, R, Python, Excel VBA.

Job Duties & Responsibilities:

- Analysing the data and Implementing different collection strategies with DCA.

- Automation and Enhancement of Credit card MIS reports.

- Development of new reports as per the requirements and increase the usability of new and existing reports.

- Preparing Collection Deck having various portfolio & collection cuts.

- Publishing weekly, monthly MIS and PPTs to stakeholders and regional team.

- Regular improvement in processes / strategies.

Required Experience:

- At least 10 years of total experience in the relevant field

Education / Preferred Qualifications - Graduation degree with technical skills.

Technical Competencies:

- Hands on Knowledge of Microsoft products like Excel, Access , Powerpoint, Word.

- Technical skill in R, SQL, Python.