Responsibilities:

The role will be responsible for several key areas:

• Develop and maintain centralized reporting in collaboration with Client protection and line of business partners

• Develop Enterprise executive dashboards and reporting

• Support data management and setup of Enterprise wide data marts and table views

• Conduct analytics to identify business opportunities and recommendations

• Presenting reporting results at various forums internal and external to FCSO

• Support Adhoc reports across the FCSO Enterprise

• Support reporting and analytics for Consumer, Non-Consumer, and Billing Dispute products / channels

• Work with cross functional project teams to bring the teams to consensus on definitions and metrics

• Support setup of infrastructure for centralized repositories and data definitions

• Conduct variance analysis and reporting

• Gather data from various sources and areas

• Review data for completeness and accuracy

Requirements:

Education:

• Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute

• Technical certifications in SAS, SQL preferred

Experience:

• U.S financial services experience preferable
  

• Understanding of business domains like Fraud/Compliance/Risk  preferable

Foundational Skills:

• The candidate must have intermediate to advanced knowledge of SAS and SQL.
• Excel and other applications to support large data aggregation and management
• Advanced data analytics in a big data environment within a risk & fraud function is ideal
• Experience in reporting and automation tools
• Data and reporting experience and attention to detail
• Ability to create trend reports and discuss anomalies with cross functional teams
• Ability to present the data and communication skills
• Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
• Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
• Effective multi-tasker, able to manage multiple files

Desired Skills:

• Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business.  Post graduate degree is a plus.
• Strong experience on Hadoop (Hive, Impala)
• Tableau and MicroStrategy experience 
• Familiarity with other programming languages such as Python, Spark, PySpark and R will be preferred.