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Work Experience
Risk Analyst
Bank Novo• July 2020 - December 2020
• Use SQL to pull data, uncover patterns, and facilitate the data modelling team. • Performed elaborated Pre-Prod Testing of in-house tools, Performed requirement feasibility analysis. • Work in spreadsheets for data sorting post data collection. • Screening/Data mining using different search engines in prior roles. • Providing Ideas and Initiating Documentation with the improvement of existing systems and processes. • Assist in data collection, collation, and analytics strategy. • Processing and Maintaining all applications through a workflow system effectively, within agreed SLAs and OKRs, and in line with company policies and procedures. • Designed and monitored underwriting scorecards and related predictability. • Trained and mentored analysts on different customer service tools. • Established strategy for operations reporting and analytics, identifying key needs for deliverables while driving continuous improvement of processes. • Executed initial learning roadmap to achieve risk maturity milestones across organizational levels. • Engaged with collections, risk,and fraud teams, collaborating on implementation of collection strategies. • Defined and led strategies to reduce delinquent accounts, analyzing written-off accounts to drive additional recovery and introducing settlement and hardship programs to increase delinquent customer response rates.
Variable-Fraud Prevention Specialist
Amazon• April 2019 - June 2020
• Analyze emerging MOs and communicate trends to larger fraud community. Partner with data scientists and research scientists to build long-term counter protections. • Use a combination of manual and automated tools to gather data and conduct ad-hoc investigations. • Testing Internal and AWS Tools and Services on Beta phases. • Initiate testing for micro-services in AWS Fraud Prevention system and participate in external Tool and product Beta Testing across all amazon internal orgs(AWS business, Amazon Games, Alexa). • Collecting Data and tagged by manually reviewing Fraud Patterns (hidden services) to explain what kind of sellers/users make abusive usage of cloud platform. • Testing Internal and AWS Tools and Services on Beta phases . • Study Compromise and Post Compromised accounts behavior of AWS services (once they get hold of AWS Accounts). • Analyze user behavior on different marketplaces . • Providing Tool/Process Improvement Ideas. • Data Collection and Generation Reports and Conclusion based on Metrics. • Analyze data to identify fraud trends and proactively take action to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures. Leverage diverse data sources. • Conduct complex and deep dive investigations of sophisticated criminals and criminal enterprises. • Work with cross-functional teams across Amazon for collaboration on fraud risks and investigations. • Work with stakeholders to drive process improvements that will impact internal and external customers. • Designing and providing requirement analysis for AWS accounts queuing logics from direct ML PLATFORM. • Take on ad-hoc projects/assignments related to fraud investigations as necessary.
Education
Indira Gandhi National Open University
Post Graduate Diploma In Applied Statistics , PGDAST• March 2021 - Present
Maulana Abul Kalam Azad University of Technology
Computer Science, BCA• June 2015 - July 2018
Skills
iamabhishekghosh has not updated skills details yet.