מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsibilities:
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads coordination of the production of product performance reports and updates for senior management
Analyze complex data to provide insights into incoming and loss trends or identify potential problems
Develop Adhoc reporting for Consumer Card Products and Channels
Identify process improvements and efficiencies via data analysis
Deliver accurate metrics related to fraud and claim activity
Validate the integrity and quality of data required for performing analysis
Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.
Required Qualifications:
Strong analytical experience (Data Mining, Report Development, Reporting, Presentation, etc.)
Proficient in SAS/SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
Ability to work independently as well as part of a virtual team
Innovative mindset with the ability to challenge the status quo
Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Desired Qualifications:
3+ years of fraud experience and/or 3+ years of analytical experience with a Payment card /Retail Bank background
Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, business, or analytical field, or equivalent work experience
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
Tableau, MicroStrategy, Python, Hadoop, Pyspark
Skills:
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
משרות נוספות שיכולות לעניין אותך