Job Description :
Job Title: Data Engineer/Data Analyst(Tableau+Python)
Location: Richmond VA 23238
Duration: 6 months +
No. of position: Multiple Openings
Job description:
Client’s Anti-Money Laundering (AML) Program is focused on a critical mission – to safeguard our communities, company, and country by preventing, detecting, and reporting on criminal activity within the financial system. Client’s AML defenses identify suspicious activity reflective of money laundering, terrorist financing, human trafficking, tax evasion, and other illicit activity. We also support law enforcement by providing vital information on the financial activities of the subjects of their criminal investigations. The AML team partners with every LOB across the enterprise to gather data to run the various modeling and screening programs. This fast-paced environment requires analysts who can think creatively to improve our defenses, while balancing regulatory concerns and the need to run a well-managed program. We have a team of >50 talented analysts that work together to constantly evolve our defenses, to keep up with the constant evolution of criminal activity.
Must Haves : Python, Tableau, SQL
Technology we are using:
An extensive understanding of SQL is required and candidates must process experience with reporting tools such as Tableau or BIRST
This group is a heavy user of Python. While Python expertise is not a prerequisite in all cases, proficiency in this area will be a critical factor during candidate evaluations
As client approaches its goal of being 100% operational on the Cloud, hands-on experience with AWS compute resources (i.e., EC2 and ECS) and storage frameworks (e.g., S3, Redshift) is a plus.
A working of knowledge of Github and Unix-based filesystems is desired.