Fraud Risk Analytics Consultant
|Job Title:||Fraud Risk Analytics Consultant|
|Salary:||US$90000.00 - US$130000.00 per annum|
|Contact Name:||Matt Behar|
|Job Published:||September 18, 2017 13:55|
I have an exceptional opportunity for a Fraud Risk Analytics Consultant to join one of the Big 4 Consultancies
We live in an ever-changing business landscape, full of complex risk vulnerabilities and dynamic fraud threats. My client is actively recruiting motivated, problem solving, and ambitious Analytics professionals who have a drive and passion for using current and developing future bleeding edge analytic tools, techniques, and approaches to solve complex risk issues and fraud typologies.
The opportunity is to help organizations across the globe in identifying and overcoming the modern-day fraud epidemic. Perpetrators of fraud are becoming increasingly sophisticated and continue to quickly adapt to new prevention and detection techniques we work with companies using dedicated offerings, assets, and our expertise to provide effective and holistic counter-fraud management solutions.
As a Fraud Analytics Manager / Senior Manager, you will play a critical role in further building our global Analytics practice across multiple industries, including Financial Services, Insurance, Health & Public Services, Products, Resources, and Media & Communications. Join our dexterous team and put your skills and experience to work designing and leading the delivery of advanced counter-fraud analytic solutions that yield actionable insights and tangible business value in combating today's fraud pandemic.
Minimum of 2 years of professional experience with analytic tools and languages in the development of fraud analytics such as SAS, R, Python, SPSS, and SQL
Experienced in the application of fraud and risk analytics to solve complex, esoteric, and challenging business problems
Minimum of 2 years assessing fraud issues and making subsequent recommendations as to suitable analytical approaches aimed to solve diverse fraud typologies
Minimum Bachelor degree (MA/MS preferred) in quantitative discipline, (Economics, Statistics, Operations Research, Computer Science, Engineering, Computational Finance).
Familiarity with the application of data mining, forecasting and predictive analytics to real world fraud problems
A proven track record in the development and implementation of analytics projects, models, and solutions
Advanced problem analysis and problem solving skills; Excellent numerical aptitude
Proficient in 'big data' analytics technologies
Proficient in visualization analytics technologies
Strong interpersonal and presentation skills with the ability to convey technology and business value propositions and complex technical concepts to non-technical audiences
Team-oriented and collaborative working style, both with clients and those within the organization with the ability to also work independently, handle multiple tasks, and priorities based on the requirements of the business
Experience with Enterprise Data Management
Experience with Project Management methods and tools
Knowledge of full life cycle development for advanced analytic projects including experience using Agile frameworks
Solid business and analytics acumen
Good listening skills and ability to uncover and resolve issues
Good interpersonal and communication skills - able to present to and engage senior internal and C-Level client leadership
Ability to work around a dynamic (and often unpredictable) business and travel schedule (up to 80% as necessary)
Lawrence Harvey is acting as an employment agency in regards to this position.
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