I&F Decision Sci Practitioner Sr Analyst

Skill required: Delivery - Fraud Data & Analytics

Designation: I&F Decision Sci Practitioner Sr Analyst

Qualifications:Any Graduation

Years of Experience:5 to 8 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining 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 world’s 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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do Fraud Data Sr. Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.

What are we looking for

• Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts
• Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more
• Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more
• Fraud analytics: 5+ years
• Data and ML analytics: 3+ years
• Reporting analytics, e.g. tableau: 5 + years
• Adaptable and flexible
• Agility for quick learning
• Ability to work well in a team
• Commitment to quality
• Written and verbal communication
• An expert in SQL, Tableau, preferred to have Python based data analytics experience Roles and Responsibilities:
• Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention
• Develop data insights to help understand customers’ banking behavior and preferences
• Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value
• Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools
• Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods
• Find insights from risk data sets to improve fraud strategies and rules
• Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework
• Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases