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Staff Fraud Analyst

This job has been Expired
  • Remote
  • Specialism : Analyst
  • Post Date: September 5, 2024
  • Expires In : -139 Days
  • Applications 0
  • Views 535
Job Overview

JOB DETAILS

Requirements
  • Bachelor or advanced degree in Statistics, Business Analytics, Math or Economics.
  • Very strong data technical skills on databases, Excel/SQL/Python and data dashboard tools.
  • Able to use different types of data to define business needs.
  • Highly motivated to drive change, eager to learn and create new things from scratch and able to work collaboratively in a complex and fluid environment.
  • Experience of developing business or risk loss forecasting models.
  • Experience of developing analysis structure using different data sources and analytical methods to meet business needs.
  • Capability of defining and building business metrics and dashboard infrastructures and know how to automate the manual process to improve efficiency.
  • Able to connect the dots between data and businesses to provide meaningful insights and actionable enhancements.
  • Knows how to troubleshoot data and metrics gaps and be innovative to solve both technical and business problems.
  • Very strong communication skills by connecting the dots with the big picture with data and facts to support the story.
Responsibilities
  • Data and Database Management: Aggregate and synthesize data sets from multiple data sources. Define and integrate all type of data needs ( raw data, features and so on) for Member Security.
  • Metrics Infrastructure Development: Define and develop metrics infrastructure to forecast, monitor and evaluate holistic performance of fraud risk management at all levels. Work with cross-functional teams to get the alignment of metrics, data trends and their insights. Work with business teams, operations, and product teams to improve overall fraud risk management performance by providing loss forecasting, performance metrics, business impact analysis and fraud trend insights. Develop metrics dashboard( both data and visualized formats) based on both regular and ad hoc basis.
  • Loss Forecasting Models: Build loss forecasting models to make sure both proactive and reactive loss controls are effective. Know how to iteratively improve models.
  • Goals and Benchmark Setups: Support to set up performance goals and benchmarks for managing member security
  • Business Insights Analysis and Communication: Work with Risk Strategy, Product and Operations to consolidate business insights for metrics changes. Provide deep analysis on metrics changes and actionable improvements for Risk Product, Process and Policy. Communicate metrics, dashboards and insights with different levels of stakeholders on a regular basis.

 

 

 

 

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Staff Fraud Analyst

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