Intelligence Analyst - Secondment

Description:

Intelligence Analyst - Secondment

Role Purpose:

Support and assist the department with gathering intel from various sources and maintaining updates on various systems and reporting tools. Aid in the identification process for new exposure and maintaining the business objective for fighting fraud.

Reporting To:

CFT Intelligence and Support Team Leader

Key Responsibilities:

Proactively assist an investigator to manage a portfolio of complex fraud rings to assist with the identification of cases and emerging threats within the modus operandi.

Identify fraud rings.

Maintaining close links with teams within the Counter Fraud Department to ensure effective processes are in place for identifying strategy and sharing intel internally.

Lead the team with proactive intelligence gathering methods and collate the relevant Desktop Research Reports to aide in this.

Proactively Identify new and emerging trends and analyse the data using mining/fraud management software.

Collaborate with the department to prepare and submit IFED Referrals on behalf of the business.

Collaborate with the department on producing witness statements and if require, give evidence in court

Monitor and review cross case analysis for fraud rings and assist in trend identification to feedback into relevant systems on exposure.

Act as the first point of contact for all role related training queries.

Coach, mentor and support other team members to ensure high standards are maintained and delivery risks are mitigated

Proactively attending and participating in market intelligence forums to ensure awareness remains current and provide updates to the Intelligence Team and other areas of the business where relevant.

Create Intelligence Submissions to be sent to the Insurance Fraud Bureau to share feedback on linked and organised fraud.

Monitor and deal with incoming emails to the team, ensuring they can be covered and are dealt with by the correct respective analyst/investigator.

Essential Skills and Knowledge:

An understanding of data security and confidentiality

Computer literacy and data analytics

A strong understanding of insurance and insurance fraud

A strong understanding of intelligence models and investigation techniques

Comprehensive understanding of relevant NIM rating guidance

Desirable Skills

Knowledge and understanding of the work of the organisations formed to aid the fight against Insurance Fraud

Working knowledge of fraud prevention system searches, tools, and software

Good team work and ethics for developing others