I&F Decision Sci Practitioner Specialist

About The Role

Skill required: Delivery - Fraud Data & Analytics

Designation: I&F Decision Sci Practitioner Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years
About AccentureCombining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com

What would you do Visit us at www.accenture.com.The Analytical Engineer is responsible for designing and coding the analytic process and methods to create and implement data, features, rules from data warehouse to production. You will analyze large amounts of account and transaction data to develop and improve processes, and models while managing the customer experience. You will help implement our day-to-day fraud policy and rules in our fraud systems. This role requires a fast-paced, and time-sensitive turnaround, but can be a rewarding opportunity to help fight deposit and lending fraud daily.

What are we looking for 5+ years of Knowledge/Experience with fraud detection and fraud prevention in financial services and payment space is essential Experience in Fraud decision rules optimization 3+ years of experience in SQL queries, Tableau (and other BI tools), Git. (Academic experience counts) 2+ years of day-to-day use of Python and AWS (e.g. S3, EC2, EMR, Athena, and more). (Academic experience counts) Experience working at a FinTech or start-up is a plus
Roles and Responsibilities: Need strong domain expertise in fraud prevention and fraud detection for financial clients with expertise in Provenir, LexisNexis, Actimize, etc. vendor tools Develop data wrangling pipelines, queries, methods enabling pattern analysis to detect new fraud trends and fraud attacks swiftly Work on features and rules implementation within Varos feature services and real-time decision engine ecosystem. This includes coding, QA, testing (e.g. security testing and load testing) to ensure accuracy and fast implementation Collaborate with a cross-functional team, including Data Engineering team to review data anomalies, identify data issues, and improve the analytical data preparation quality Strong experience working with engineering teams, including MLE to debug implementation and production issues for features and rules Strong experience using Git (Gitlab/Github) for code submission, version control, collaboration, and deployment Ensure the sufficient documentation and reproducibility of the code Design, build, and maintain the interactive dashboards using Tableau to support data analysis, monitoring, and reporting Work with stakeholders to gather requirements, identify improvement opportunities, execute roadmap and projects
Qualification
Any Graduation