Job Description

At Wells Fargo, we are on a mission to help our customers succeed financially and are looking for an experienced Lead Fraud Data Science Analyst to help us protect our customers and the bank from fraudulent activities. We are looking for a highly analytical and motivated individual who is passionate about data science and has experience in the fraud detection space. The ideal candidate for this position will possess a strong aptitude for analytical problem-solving and an understanding of the fundamentals of data science. They will have a proven track record in managing and leading complex, data-driven projects and have a deep understanding of fraud detection methodologies, particularly as they relate to banking and financial services. Additionally, the Lead Fraud Data Science Analyst should have excellent communication and collaboration skills to ensure successful implementation of projects. 

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The successful candidate for this role should possess the following qualifications: • Bachelor’s degree in mathematics, data science, statistics, or a related field• 5+ years of experience in fraud detection, analytics, or data science• Strong knowledge of machine learning, predictive analytics, and data mining• Experience with SQL, Python, and other programming languages• Experience working with large datasets and data mining techniques• Excellent written and verbal communication skills• Ability to effectively manage multiple projects and timelines• Knowledge of fraud mitigation strategies and techniques.

Job Qualifications

• Statistics
• Ability To Work Independently
• Bachelor's Degree In A Quantitative Field Such As Mathematics
• Or Computer Science
• Three Or More Years Of Experience In Data Analytics
• Expertise In Fraud Detection And Analytics
• Knowledge Of Data Mining And Machine Learning Algorithms
• Familiarity With Big Data Analysis Tools Such As Hadoop And Apache Spark
• Experience With Predictive Analytics And Text Mining
• Strong Problem-Solving And Communication Skills

Required Skills

• Risk Management
• Banking
• Sql
• Python
• Data Analysis
• Communication
• SAS
• Machine Learning
• Data Mining
• Statistical modeling
• Analytics
• Data science
• Visualization
• Risk assessment
• Fraud detection

Soft Skills

• Communication
• Leadership
• Time management
• Interpersonal Skills
• creativity
• Critical thinking
• Teamwork
• Adaptability
• Problem-Solving
• Resourcefulness

Lead Fraud Data Science Analyst

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