The purpose of this role within Fraud Transaction Cycle (FTC) - Fraud Analytics, is the provision of data driven analytics for the management of Fraud decision strategy, to maximize the performance of Fraud risk systems, toolkit and associated data and processes to contribute directly to the proactive detection of fraud and the reduction of fraud losses while minimizing impact to our genuine customers and their transactions.

What will you be doing?

- Ensure adherence to daily schedule and service level agreements (SLAs).

- Develop analyze, and monitor fraud detection systems and fraud scorecards.

- Prepare MI reports related to fraud hot leads, banking and card fraud analytics and fraud systems.

- Identify process improvement opportunities through innovative techniques of analysis/segmentation.

- Manage and monitor quality for own work.

- Monitor and review the SLAs and provide daily / weekly reports to the client on SLAs and metrics.

- Act as an interface with the client to resolve issues/ disagreements, if any.

- Take on a segment specialism e,g Digital/First Party process and for that segment take responsibility for monitoring performance and driving change. Act as an expert within the Fraud Risk Management team for that segment.

- Regular Monitoring of Fraud trends to proactively identify opportunities to revise and enhance ongoing strategy or device new one to prevent fraud and reduce genuine customer impact

- Help ensure regular delivery of standardized MI Pack to agreed stakeholders

- Review of analytical deliveries & ad-hoc requests and their completeness from quality, timeline and usability

What were looking for:

- Analytical ability - Must have a clear understanding and experience in performing data analysis

- Technical skills - Strong competence in the use of SAS, SQL, Excel, Outlook and Word.

- Team working - Ability to work with and in cross-functional and virtual teams across locations.

- Communication - Strong communication skills with the ability to think quickly understandable way for both technical and non-technical audiences.

- Innovation Ability to develop innovative ways to solve complex problems, within particular constraints.

- Planning and Organisation Ability to prioritize work in order to maximize value for the business

- Organisational awareness Ability to see the whole picture- and recognize the impact and opportunities of activities across the organisation.

- Educational Qualification: Graduate in Mathematics/Statistics/Economics/B. Tech/BE

Skills that will help you in the role:

- Ability to absorb large quantities of data at speed, making the right decisions quickly with limited data availability

- Practical experience of key data analysis techniques ; CHAID/CART, Regression, Score Card and Clustering

- A self-motivated team player who is able to define structure and priorities work for self, but who also has the flexibility and capability to change priorities when circumstances dictate.

- Working knowledge of Fraud, or similar risk systems, such as Hunter and Falcon, preferably with experience in the use of data analytics and statistical techniques to optimize rules and strategies within such systems.

- Ability to use a query language such as SAS/SQL to manipulate and analyse large and complex data sources

- Excellent communication skills, both verbal and written

- Preferred Qualification: Masters in Mathematics/Statistics/Economics/Operation Research

- Working knowledge of BIG Data( Hive, Impala etc.) and Machine learning techniques(Random forest, SVM etc.)

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