Business Analyst – Global Merchant Data Science

  • Company:
    American Express Banking Corporation
  • Location:
  • Salary:
    negotiable / month
  • Job type:
    Full-Time
  • Posted:
    1 week ago
  • Category:
    Banking

Skill: hive , algorithms , database , hadoop , big data , python , information management , machine learning; Exp: 0-3 years; Business Analyst – Global Merchant Data Science Locations Bangalore, India Categories Operations Categories Risk Management Job Description American Express is a global services company and the worlds largest card issuer. Our direct relationships with many millions of consumers, businesses and merchants worldwide – combined with our leading edge marketing, information management and rewards capabilities – enable us to offer an array of valuable services that enrich lives, build business success, encourage financial responsibility and create communities of people with common interests. American Express for 11th consecutive year has been voted among Indias top 10 workplaces by the Great Place to Work institute. In recognition of our consistent performance, we were nominated to the Great Place to Work Hall of Fame. At American Express, we serve customers, not transactions. Were widely known for providing superior customer service and have been recognized for a number of achievements including being ranked highest in customer satisfaction within the credit card industry by J.D. Power for seven consecutive years. A career at American Express is rich in experience and offers opportunities to build lasting relationships with our customers. Come join us and realize your potential. Business Analyst, Global Merchant Data Science Description This position will be part of a fast-paced & innovative team within Enterprise Digital and Analytics (EDA). This role is integral part of EDA and supports merchant data attributes enhancements and help building foundational data capabilities to be used across enterprise by developing new algorithms leveraging machine learning techniques. The team applies rigorous, solution-oriented analysis and machine learning techniques to help Business Units serve customer better by enabling more effective marketing, reducing disputes and help GMS (Global Merchant Services) identify merchant parity gap. American Express unique core asset is our industry-leading global database of customer demographics and detailed spend behavior from the American Express network of over 90 million cards conducting over 4 billion transactions annually in over 130 countries worldwide. Job Responsibilities Bolster the impact of advanced algorithm and big data capabilities across the EDA organization (e.g. Enrich GMS Data accuracy leveraging advanced algorithms to drive Amex economics in areas such as industry bonusing, dispute reduction, and small merchant recommendations) Lead new initiatives, prepare project plans and other supporting information, and provide project status Understand different dabases, source systems and match datasets with text terms as key incorporating fuzzy logic. Extensive case review of customer database to idenify linkage gaps. Manage partner expectations including scope, schedule, changes, and problem resolution Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Qualifications Strong analytical skills including the ability to think through all aspects of complex business requirements and generate possible courses of action Proficiency & experience in econometric, statistical and machine learning techniques to develop best in class predictive models Must possess excellent analytical, relationship management and strong personal presence Proficient in python,hive, working knowledge of hadoop architecture & analytical tools Must be a self-starter with demonstrated ability to pro-actively and independently drive results Master’s degree in Economics, Statistics, Mathematics or related quantitative fields from a top tier institute ReqID 18013720 Schedule (Full-Time/Part-Time) Full-time Date Posted Nov 2, 2018, 53520 AM

Software Engineer

Degree: 

Experience: 0-3

Function: IT Software : Software Products & Services