Collections Analytics

Job Title : Collection Analytics (Manager)

Location : Bangalore / Hyderabad / Noida / Chennai / Gurgaon

Job Type : Fulltime

Years of Experience- 5-10 years

Job Overview :

Straive is seeking an experienced Manager - Collection Analytics to join our team. As a remote employee based in the USA, you will work closely with our team to improve our collection strategies and tactics.

Roles and Responsibilities :

Develop and implement collection strategies and tactics based on data analysis and insights. - Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes.

Analyze and interpret data to identify trends and opportunities for improvement. - Collaborate with cross-functional teams to develop and implement new collection processes ∙ Manage and mentor a team of collection analysts. - Monitor and report on collection metrics, including delinquency rates and recovery rates. - Communicate findings and recommendations to senior leadership.

Risk-Based Collections :

Risk scoring is often used to prioritize high-risk accounts for immediate action while allowing more lenient approaches for low-risk borrowers.

The use of advanced analytics can fine-tune this risk scoring process, allowing banks to focus resources where they are most needed.

Collection Strategy Optimization : Data analytics driven collections optimization

Performance Monitoring & Reporting :

Advanced analytics tools provide real-time insights into the effectiveness of various collection strategies, teams' performance, and key performance indicators (KPIs) such as recovery rates, time to recovery, and operational efficiency.

Dashboards can help in tracking progress and making quick adjustments to tactic.

Skills Required :

Bachelor's or Master's degree in a relevant field.

5-10 years of experience in collection analytics. - Strong analytical skills and experience working with large data sets.

Experience with statistical analysis and modeling.

Strong communication and leadership skills.

Ability to work independently and as part of a team.

Knowledge of collection regulations and industry best practices.

Proficiency in statistical software and programming languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).