Avp Fraud Analytics

Job Title AVP Fraud Analytics
Location: Noida

About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.

Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Working Flexibly
We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.
If you would like some flexibility, then please discuss this with the hiring manager.

Introduction:
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 maximise the performance of Fraud risk systems, toolkits and associated data and processes to contribute directly to the proactive detection of fraud and the reduction of fraud losses while minimising impact to our genuine customers and their transactions.

What will you be doing?
- Ensure effective score and rule performance management for fraud detection tools ensuring optimal False Positive rates and Key Performance Indicators such as alert volume SLAs, Victims of fraud, Fraud Losses are set and achieved.
- Take on a segment specialism e.g. Digital/First Party/Debit/Credit etc. 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.
- Undertake analytical research and data acquisition with the aim of creating strategically important new ‘future state’ Fraud risk management and decision capability
- Structuring and executing research and analysis into performance of existing strategies whilst ensuring that strategy aligns with Fraud Risk Appetite and keeping stakeholders across all disciplines and functions appropriately informed and updated.
- Help ensure regular delivery of standardized MI Pack to agreed stakeholders and review of analytical deliveries & ad-hoc requests and their completeness from quality, timeline and usability
- Drive Initiatives to improve and automate processes to minimize errors and reduce effort
- Regular Monitoring of Fraud trends to proactively identify opportunities to revise and enhance on-going strategy or device new one to prevent fraud and reduce genuine customer impact
- Close liaison with Portfolio analytics and Strategy team stakeholders and to ensure rule / system monitoring is optimal and formulate the requirement for new performance monitoring if required
- Comply and enforce Fraud risk governance framework, change management requirements, EUDA and process review requirements

What we’re looking for:

- Outstanding analytical skills and critical thinking to digest and interpret complex concepts underpinning portfolio modelling and analytics.
- Exceptional technical skill, highly proficient SAS/SQL, excel skills
- Data extraction and manipulation skills and understanding of data issues to prepare and validate analysis
- Practical experience of using analytics to solve complex business problems.
- Advanced statistical understanding, ideally working knowledge of statistical modelling, neural networks and Machine Learning models
- High level communication and persuasion skills with the ability to think quickly and package ideas and results in a logical, understandable and compelling way to both technical and non-technical audiences.
- A range of interpersonal skills including innovation, determination and teamwork
- Educational Qualification: Graduate in Mathematics/Statistics/Economics/B. Tech/BE

Skills that will help you in the role:

- Knowledge of Fraud detection model and rule strategy optimisation in Retail Banking, Credit Cards; in particular using Tsys, Falcon, Instinct, RSA solutions
- Practical experience of key data analysis techniques; CHAID/CART, Regression, Score Card and Clustering
- Working knowledge of BIG Data (Hive, Impala etc.) and Machine learning techniques (Random forest, SVM etc.)
- Masters in Mathematics/Statistics/Economics