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Analytics in Action
Combating Credit Card Transaction Fraud
Client : A Credit Card Issuer facing high Transaction Fraud

Business Situation :
The Credit Card issuer was facing significant losses due to fraud in spite of having a real-time transaction scoring application. It flagged
suspicious transactions and declined them with a large false positive ratio, leading to bad customer experience and attrition. There were also
gaps in the process of identifying fraud with good accuracy due to constraints within the Fraud Operations group.

The Task :
- Develop optimized authorization rules that efficiently capture fraud with minimum impact on genuine transactions.
- Revisit the transaction scoring mechanism and suggest a methodology that is more customized for certain type of transactions. Retire non-
  performing authorization rules.
- Develop new strategies/rules to better identify fraudulent transactions.
- Measure ‘agent performance’ in Fraud Operations Queues and suggest areas of improvement to Fraud Operations.

Analytical Framework :
A 5-step analytical process was used:
1. Historical card transaction logs, data on confirmed fraud cases for the past two years, Credit Bureau data and Card Association notifications
   were leveraged for the analysis.
2. For Customer attrition analysis, accounts with a minimum 12 months-on-book at the time they were wrongly queued/declined were used,
   their attrition rates, were then measured using a test-control approach.
3. Apart from an existing real-time fraud scoring engine, further analysis was conducted to identify domestic and international fraud hotspots.
4. Detailed segmentation was carried out on recent transactions to segregate fraud population with least impact on non-fraud population –
   this led to new authorization rules.
5. Developed automated MIS reporting measuring existing rule performance, agent performance in Operation queues and a framework to
   retire non-performing rules.




The Result :
• Fraud Detection rates improves by 70 basis points Year-on-year after implementing the new scoring layer incorporating localised scoring.
• Fraud Operations agents false positives and false negative ratios (identifying true fraud and non-fraud respectively) improved significantly
  within 2 months of implementing Decision Quality framework. Missed dollar opportunity due to not identifying true fraud reduced by 15%
  Year-on-year.
Y O U R PA R T N E R F O R
D ATA A N A LY T I C S S E R V I C E S
                                        ADVANCED ANALYTICAL SOLUTIONS
                       Industry                                Business Focus              Tools and Techniques
       Consumer Finance                               Investment Optimization          SAS, SPSS, R, VBA
           Credit Cards                               Revenue Maximization             Cluster analysis
           Loans and Mortgages                        Cost and Process Efficiencies    Factor analysis
           Retail Banking & Insurance                 Forecasting                      Conjoint analysis
           Wealth Management                          Predictive Modeling              Perceptual maps
       Consumer Goods and Retail                      Risk Management                  Neural Networks
           CPG & Retail                               Pricing Optimization             Chaid / CART
           Consumer Durables                          Customer Segmentation            Genetic Algorithms
       Manufacturing and Supply Chain                 Supply Chain Management          Support Vector Machines
             High Tech OEM’s                                                           Sentiment Analysis
             Automotive
             Logistics & Distribution

                                                                                              GLOBAL EXPERIENCE.
                  MANAGEMENT TEAM
                                                                                               PROVEN RESULTS.

      Roy K. Cherian
      CEO
      Roy has over 20 years of rich experience in marketing, advertising and media
      in organizations like Nestle India, United Breweries, FCB and Feedback
      Ventures. He holds an MBA from IIM Ahmedabad.



      Anunay Gupta, PhD
      COO & Head of Analytics
      Anunay has over 15 years of experience, with a significant portion focused
      on Analytics in Consumer Finance. In his last assignment at Citigroup, he was
      responsible for all Decision Management functions for the US Cards
      portfolio of Citigroup, covering approx $150B in assets. Anunay holds an
      MBA in Finance from NYU Stern School of Business.

      Buck Chintamani
      EVP, Strategic Initiatives & Business Development
      Buck has extensive experience working with global clients across sectors.
      He was an early employee at Infosys, a founding team member at supply-
      chain software startup - Yantra, and part of the management team at RFID
      sector startup - Reva. Most recently, he was the Vice-President for Service
      Partner Strategy and Programs at product lifecycle management software
      company, PTC. Buck has an MBA from IIM Ahmedabad.


      Kakul Paul
      Business Head, CPG
      Kakul has over 6 years of experience within the CPG industry. She was
      previously part of the Analytics practice as WNS, leading analytic initiatives
      for top Fortune 50 clients globally. She has extensive experience in what
      drives Consumer purchase behavior, market mix modeling, pricing &
      promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad.




 CONTACT                                                                                                    www.marketelligent.com
                                                   MARKETELLIGENT, INC.
                            80 Broad Street, 5th Floor, New York, NY 10004
                 1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com

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Analytics in action how marketelligent helped a card issuer combat transaction fraud

  • 1. Analytics in Action Combating Credit Card Transaction Fraud Client : A Credit Card Issuer facing high Transaction Fraud Business Situation : The Credit Card issuer was facing significant losses due to fraud in spite of having a real-time transaction scoring application. It flagged suspicious transactions and declined them with a large false positive ratio, leading to bad customer experience and attrition. There were also gaps in the process of identifying fraud with good accuracy due to constraints within the Fraud Operations group. The Task : - Develop optimized authorization rules that efficiently capture fraud with minimum impact on genuine transactions. - Revisit the transaction scoring mechanism and suggest a methodology that is more customized for certain type of transactions. Retire non- performing authorization rules. - Develop new strategies/rules to better identify fraudulent transactions. - Measure ‘agent performance’ in Fraud Operations Queues and suggest areas of improvement to Fraud Operations. Analytical Framework : A 5-step analytical process was used: 1. Historical card transaction logs, data on confirmed fraud cases for the past two years, Credit Bureau data and Card Association notifications were leveraged for the analysis. 2. For Customer attrition analysis, accounts with a minimum 12 months-on-book at the time they were wrongly queued/declined were used, their attrition rates, were then measured using a test-control approach. 3. Apart from an existing real-time fraud scoring engine, further analysis was conducted to identify domestic and international fraud hotspots. 4. Detailed segmentation was carried out on recent transactions to segregate fraud population with least impact on non-fraud population – this led to new authorization rules. 5. Developed automated MIS reporting measuring existing rule performance, agent performance in Operation queues and a framework to retire non-performing rules. The Result : • Fraud Detection rates improves by 70 basis points Year-on-year after implementing the new scoring layer incorporating localised scoring. • Fraud Operations agents false positives and false negative ratios (identifying true fraud and non-fraud respectively) improved significantly within 2 months of implementing Decision Quality framework. Missed dollar opportunity due to not identifying true fraud reduced by 15% Year-on-year.
  • 2. Y O U R PA R T N E R F O R D ATA A N A LY T I C S S E R V I C E S ADVANCED ANALYTICAL SOLUTIONS Industry Business Focus Tools and Techniques Consumer Finance Investment Optimization SAS, SPSS, R, VBA Credit Cards Revenue Maximization Cluster analysis Loans and Mortgages Cost and Process Efficiencies Factor analysis Retail Banking & Insurance Forecasting Conjoint analysis Wealth Management Predictive Modeling Perceptual maps Consumer Goods and Retail Risk Management Neural Networks CPG & Retail Pricing Optimization Chaid / CART Consumer Durables Customer Segmentation Genetic Algorithms Manufacturing and Supply Chain Supply Chain Management Support Vector Machines High Tech OEM’s Sentiment Analysis Automotive Logistics & Distribution GLOBAL EXPERIENCE. MANAGEMENT TEAM PROVEN RESULTS. Roy K. Cherian CEO Roy has over 20 years of rich experience in marketing, advertising and media in organizations like Nestle India, United Breweries, FCB and Feedback Ventures. He holds an MBA from IIM Ahmedabad. Anunay Gupta, PhD COO & Head of Analytics Anunay has over 15 years of experience, with a significant portion focused on Analytics in Consumer Finance. In his last assignment at Citigroup, he was responsible for all Decision Management functions for the US Cards portfolio of Citigroup, covering approx $150B in assets. Anunay holds an MBA in Finance from NYU Stern School of Business. Buck Chintamani EVP, Strategic Initiatives & Business Development Buck has extensive experience working with global clients across sectors. He was an early employee at Infosys, a founding team member at supply- chain software startup - Yantra, and part of the management team at RFID sector startup - Reva. Most recently, he was the Vice-President for Service Partner Strategy and Programs at product lifecycle management software company, PTC. Buck has an MBA from IIM Ahmedabad. Kakul Paul Business Head, CPG Kakul has over 6 years of experience within the CPG industry. She was previously part of the Analytics practice as WNS, leading analytic initiatives for top Fortune 50 clients globally. She has extensive experience in what drives Consumer purchase behavior, market mix modeling, pricing & promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad. CONTACT www.marketelligent.com MARKETELLIGENT, INC. 80 Broad Street, 5th Floor, New York, NY 10004 1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com