Fraud Risk Analyst

JOB ACCOUNTABILITIES:

• Conducting data analysis on external client data, to identify trends and patterns within the data sets.
• To produce, collate and present recommendations based on own findings to enhance current risk models and create new risk management techniques.
• To liaise directly with clients to gain an in depth understanding of their business and ensure their satisfaction with the Analysis service.
• To ensure operational KPI’s met around delivering fraud services; including rule deployment, business reviews, reporting and bespoke query management
• Provides input on feature/function to Product Management in developing the product roadmap. Provides input to Product Marketing Manager on case studies and customer reference implementations.
• Builds and manages relationships with stakeholders based on an understanding of their influence and needs.
• Support Senior Analysts with day-to-day customer analysis requests on identifying transactional changing trends for risk strategy advancements.
• Continuously develops domain knowledge, depth and breadth, in the payments industry, ACI products, customer base and applied technology.
• Perform other duties as assigned.

Minimum Requirements Needed:

• Bachelor's degree in Computer Science or Statistics or equivalent experience.
• 2 years in an industry related role such as analyst, product management or product development, or comparable work experience (4 years for Sr Risk Analyst)
• Knowledge and experience in most aspects of business analysis.
• Excellent verbal and written communication skills.
• Strong negotiation and collaboration skills.
• Strong relational database structure understanding.
• Ability to manipulate data by writing complex SQL syntaxes.
• Experience of working in a client focused organization within a business-to-business environment.
• Ability to comfortably use MS Word, Excel and PowerPoint.
• Experience of either Statistic, RStat, iBi, or Yellobrick would be an advantage.

Highly Desired Skills:

• Through understanding of data manipulation Language (DML) with SQL, Oracle, Tableau, Sybase and Yellowbrick.
• Experience with data visualization tools like IBI Webfocus, Tableau etc.
• Knowledge of the payments industry, customer base and applied technology.