Risk & Fraud Analytics
Market Risk Analytics, Credit Risk Analytics, Insurance & Banking Fraud Analytics and more...
Risk & Fraud Analytics
  • Insurance Fraud Analytics

    Risk management has always been an integral part of the insurance business. Firms succeed through their ability to identify and manage risks facing their clients. Successful insurers not only understand risk clearly, but also dynamically use available insights to handle exposure to risk through measures aimed at avoiding or preventing losses and screening, pre-empting and pricing them-in in the underwriting process.

    Fraudulent claims are a serious financial burden and impact the financial health not only of insurers, but also of innocent people seeking effective insurance coverage. Predictive analytics can help in insurance fraud detection by uncovering the likeliness of frauds arising in medical billing, life insurance, claims and other areas of the business.

    Data scientists today can leverage complex and sophisticated capabilities such as predictive modeling, text mining, database searches, anomaly detection and network link analysis to create an advanced and powerful fraud analytics?engine.

    Our experts can help check claims fraud by:
    1. Identifying duplicate claims.
    2. Flagging up suspicious transactions for a detailed follow-up.
    3. Decrease insurance fraud losses by detecting and preventing fraud before claims are paid leveraging an advanced fraud modeling engine.
    4. Persistently improving historical models to address changes in insur?ance fraud trends.
    5. Determining dealers/agents with a high numbers of claim payouts.
    6. Attaining fewer false positives that translate into greater customer satisfaction.
Risk & Fraud Analytics Expert
Related Work
Fixed Price - Est. Time: 12 months,

We are looking for resources with following criteria.

Number of Positions: 5

Skills:

  • He / She  must have expertise in implementing Big Data Analytics project with a minimum 5 years of relevant experience and having B. Tech or equivalent educational qualification.
  • Who can guide and lead the existing team.
  • Who can set up Analytics process which includes:
    • Define the Goal
    • Breaking down Actions
    • Matching the data to the Actions
    • Identification of Analysis needs to be done
  • Who can build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Who can design and build technical processes to address business issues.
  • Who can ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
  • Who can communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
  • Assisting the team leader in various other additional activities which includes – support and hand hold business users in User Acceptance Testing etc.
  • Have exposure of handling government client.

Location: Delhi NCR region.

Contract period: Min 6 months