Business Analysis Associate

Business Analysis Associate

Description

CIB Payments Operations is the largest cash management provider globally.  Payments Operations strives to provide the best operational services to support the financial industry as measured by our customers, shareholders and fellow employees.  The Payments Operations organization and core functions achieve service excellence through Client Focus, Technology solutions and Work force innovation.

The role will support the Global Payments Fraud Operations  program Strategy team, working in partnership with Operations, Technology and Product to continually identify abnormal transaction behavior and implement technology/process/policy enhancements to protect the firm and client interests.

The responsibilities for the Business Analysis Associate (Fraud Analytics) will include:

• Oversight for deliverables for the Reporting and Analytics team
• Daily, weekly, monthly and ad-hoc reporting
• Document and package status updates and proposals to senior management
• Perform data analytics, data mining, predictive analytics, and problem solving
• Develop and apply algorithms and models with ability to clearly explain them to Management, Operations and Technology teams
• Work closely with Technology and Operations to develop requirements and implement new capabilities
• Proactively engage to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams
• Develop presentations for senior executives

Qualifications 

• Undergraduate (4 year) or Master’s degree in Business, Finance, Mathematics, or related field required
• Minimum 3 years of relevant work experience
• Proven ability to multitask with a sense of urgency
• Able to adapt quickly
  • To new functional areas and/or concepts
  • To changing and or competing priorities
• Proven strong analytical and communication skills
• Experience developing reports and dashboards with BI tools (Tableau, Alteryx, etc.)
• Advanced Microsoft Excel skills (pivot tables, macros, look-up functions, etc.)
• Strong Proficiency with other Microsoft Applications (PowerPoint, Access, Visio, Word)
• Articulate, confident, and capable to communicate and influence Senior Executives
• Ability to organize and analyze complex financial data in a fast-paced environment
• Problem solving, good critical thinking, and decision-making skills
• Experience/understanding of Business Process/modeling concepts
• High Attention to Detail
• Self-Motivated and driven to achieve targets and deliverables
• Leverage creative analytical problem-solving skills while using large data sets from a broad range of sources

Preferred

• Domain experience in fraud detection / anomaly detection
• Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis[SR(OU2] 
• Experience with Tableau, Spotfire, Alteryx or other BI tools
• Experience with Python or R to perform statistical analyses
• Proven strong analytical and communication skills
• Experience working in AWS cloud environment
• Aptitude and curiosity for developing machine learning solutions to solve business problems[SR(OU4]