Role Description
The Fraud Data Analytics team has a fantastic opportunity for a Financial Crime Analytics Analyst to join the team on a permanent basis. The role can be based in Birmingham, Bournemouth, Ipswich, Leeds/Huddersfield, Brentwood, or London.
This is a hybrid contract and you will be required to work from the office a minimum of 2 days a month, up to a maximum of 16 days a month, with the flexibility to work from home for the rest of the month.
The position is full-time but we recognise that a number of our employers work flexibly in many different ways. If you are interested in applying but currently work flexibly, let the resourcing team know. If it’s right for our customers, our business, and for you, then we'll do everything we can to make it happen.
As an Analytics Analyst, you will use data tables and analysis techniques to identify fraud risk for our claims and policy fraud teams. You will assist with the development of strategic analytical solutions that provide added value to customers and key stakeholders and complete root cause analysis on policy/claims fraud to combat current, emerging, and future risks.
About You
Do you have an understanding of General Insurance end-to-end processes and products? Or experience in a Financial Crime team? Or experience in SQL coding, BI report writing, and strong presentation skills?
You will have excellent written and verbal communication skills with the ability to be persuasive or influential and respond objectively when challenged.
Experience working in a data-intensive environment with good problem-solving, decision-making, or an analytical mindset is advantageous, but an interest in developing and learning new data analytics skills is key.
You will have the ability to learn and keep abreast of new developments in the regulatory environment, with excellent time management skills – being able to manage your own workload and prioritise accordingly.
The Details
1. Carry out MI analysis to identify fraud trends, establish key risk indicators, and provide recommendations.
2. Deliver action control reports and profiling requests from internal stakeholders within SLA.
3. Assist with the delivery of fraud technology projects.
4. Assist with the development of fraud risk validation models and scorecard production.
5. Identify areas for change delivery, reducing leakage, improving the customer journey, and optimising department efficiency.
6. Provision of training, support, and development of the fraud teams on the use of intelligence tools, machine learning models, and data sources.
7. Produce ad-hoc and regular reports with recommendations to mitigate fraud risk.
Essential Skills
* Knowledge of Excel / Power Pivot / BI reporting tools essential.
* Knowledge of Python and/or SQL or the desire to learn a coding language essential.
* Knowledge of fraud in an insurance policy or claims setting advantageous.
Desirable Skills
* Experience using the SIRA platform / Other fraud detection software desirable.
* Understanding of relational database structures and basic data architecture desirable.
* Experience using Databricks desirable.
* Basic understanding of machine learning techniques desirable.
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