US Bank Fraud Risk Analyst Category Corporate Functions 

Poland 

729525494

Key Responsibilities

• Act as a trusted advisor to business partners
• Conduct root cause analysis
• Perform analysis using SAS, SQL, R, Python, or similar programming language to tie data from multiple sources together and identify emerging fraud trends
• Perform ad hoc analysis, recommending opportunities for enhancements
• Track and monitor projects, data and metrics
• Provide actionable information when problems arise
• Respond to unexpected events and findings
• Ability to conduct an analysis of business need and/or define and maintain complex process flows as needed, leading meetings, planning agendas, and conferring with business line leaders
• Effectively project manage while anticipating stakeholder needs and outcomes
• Adhere to team standards, compliance and regulatory items, passing all audits
• Seek process improvement paths leading to greater efficiencies and reduce fraud/expenses
• Meet assignment deadlines
• Ability to remove barriers and enable team to meet objectives, while being professional and adhering to processes
• Own vendor issues, collect impacts, track and communicate outcomes

Basic Qualifications

• Bachelor’s or Master’s degree, or equivalent work experience
• Seven to ten years of risk management experience

Preferred Skills/Experience

• Extensive data analytics experience preferably in the financial services industry
• Excellent presentation, interpersonal, written and verbal communication skills
• Ability to prioritize and manage multiple tasks
• Flexible and a tolerance for ambiguity
• Demonstrate proactive problem-solving skills
• Ability to work well in a team environment, but also independently
• Ability to build cross-function relationships, even in a remote environment
• Experience facilitation skills
• Familiar with User Acceptance Testing
• Experience in gathering business requirements
• Strong attention to detail and organization abilities
• Strong project management skills
• SAS, SQL, Toad or Python experience
• Proficient computer skills, especially Microsoft Office applications and data analysis software
• Willingness to work in a shift pattern from
  2 PM to 10 PM
• The role offers a hybrid/flexible schedule, which means there's an in-office expectation of
  3 or more days per week
  and the flexibility to work outside the office location for the other days.