DESCRIPTION:
INSLP (Security & Loss Prevention) is hiring an SLP Expert to support growth of the “SLP MDR Concessions Abuse Program” and help preventing losses via identification of abusive entity. The program is aimed at identifying and eliminating Concessions Abuse while preserving customer trust.
In this role, the SLP Expert will be managing a team of 5-6 Loss Prevention Specialists (FTC) and be responsible for the overall performance and delivery of the team. This will require the SLP Expert to work with key organizations such as CS (Customer Service), ARI (Abuse Risk Investigations), Legal, CBW (Cost of Business Waste), LM (Last Mile) Station teams and Program Managers from SLP to review loss trends and opportunities, and take continual loss prevention, and improve the service level and quality of performance. Experience in the field of Security, Loss Prevention, Asset Protection, Investigations or relevant professional certification is required, and the SLP Manager should be comfortable with making decisions in the midst of ambiguity.



Developing positive working relationships with your team and collaborating across multiple teams will be key for success in this role. If you are passionate about driving process improvement and motivating and spearheading a team of focused, customer-obsessed specialists, all while identifying systemic issues and implementing solutions to exciting problems, we have the career you’re looking for

Key job responsibilities
People Management:
- Leading and developing a team of 5-6 Loss Prevention Specialists, responsible for the overall performance management, coordination and evaluation of the team.
- Leading cluster/zone level initiatives, primary owner of cluster/zone shrink and MDR Concessions performance, and will be required to interact with other cluster/zone SLP Managers.
- Communicating policies and investigation standards to SLP Specialists, following-up to ensure consistency and compliance, and supporting in ECR/cust

📌 Slp Expert (Ghaziabad)
🏢 ASSPL - Delhi
📍 Ghaziabad