Fraud Analyst

• Work with multiple stakeholders on projects
• Engages business stakeholder effectively, builds rapport and trust based on strong appreciation of issues and needs
• Communicates effectively across business and CRM functions
• Keep self and team updated of changes in the business / regulatory environment on an ongoing basis
• Develop strong understanding of business domain, its strategic direction, functional goals, and the required technical expertise
• Develop proficiency in project management and CRM systems analysis skills
• Maintain a high level proficiency in programming languages
• Provide technical analysis and solutions
• sets technical directions
• Act as a SME for the functional area
• Solve technically complex programming projects in assigned area
• Translate loosely defined business problems into a set of objectives, criteria and logical specification so a programming solution can be developed
• Develop, test and write highly complex application programs, queries and profiles aligned to business goals
• Continuously identify areas for improvement and drive initiatives to enhance team productivity and quality of work
• Completion of necessary functional trainings and Group/ Region Mandated Trainings related to the process
• Manages the automation of repetitive programming steps to reduce the need for manual intervention
• Take charge in the maintenance of generated programs, queries and profiles to make certain organizational information resources are leveraged efficiently
• Sets up QA/QC framework and ensures adherence and constant improvements

• Bachelors or Master’s degree from reputed university with specialization in numerical discipline and concentration in computer science, information systems or other engineering specializations
• Strong analytical skills with business analysis aptitude
• Knowledge and understanding of financial-services/ banking-operations is advantageous
• Good knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SQL, Python, Qlik, R, VBA, Unix, SAS, CRM tools such as PEGA, other BI tools & Data technologies across any of the platforms UNIX, mainframe or Windows
• Familiar with Cloud Computing Platforms such as AWS, GCP
• Data Modeling, Adobe Analytics and or exposure to Data Quality assessment and control (IBM MDM, Reference Data Management) is a plus
• Ability to comprehend intricate and diverse range of business problems and analyse them with limited or complex data and provide a feasible solution framework
• Experience on working on Data/Information Management projects of varying complexities

Data Modeling, Adobe Analytics and or exposure to Data Quality assessment and control (IBM MDM, Reference Data Management)

• Continuous professional development
• Flexible working
• Opportunities to grow within an inclusive and diverse environment