AML Technology: Data Analyst - Big Data, AVP

State Street's Anti Money Laundering (AML) technology team is building out the next generation Big Data, Analytics and Machine Learning Ecosystem in Cloud to solve challenging financial crime compliance use-cases. As part of this journey, we are looking for strong hands-on Data Analyst who can interface with AML and implement use-cases. Along with that, we are looking for a strong technical data steward to implement data governance policies and best practices.

Job Duties:
Specific duties of the position include:

• Working with cross-functional teams that include businesses, developers, and testers;
• Working with the corporate architecture teams to ensure that the solution conforms to corporate architectural and security standards and controls;
• Conducting PL/SQL development with RDBMS like Oracle, SQL Server in data warehousing and OLTP environments;
• Applying strong all-round technical knowledge and internals of RDBMS; experience in different ETL/BI methodologies and data load techniques;
• Developing and maintaining complex systems including interface definitions with vendor products and associated workflows spanning multiple systems
• Provide technical data stewardship for the AML program.
• Applying domain knowledge of AML/KYC field
• Applying data analysis skills with relational database technologies and Big Data; and
• Utilizing knowledge of data science aspects of application data.

These skills will help you succeed in this role:

• Have an engineering mindset.
• Self-motivated, critical thinking, problem solving, and decision making skills.
• Strong Hands-on large scale, multi-tenant application development experience.
• Effective communication skills to interact with business and senior management.
• Ability to learn and adapt to new tools and technologies quickly.

Education & Preferred Qualifications:

• Bachelor's degree in computer science or engineering
• Minimum 5 years of hands on experience with application development.
• Strong in programing languages such as Oracle PL/SQL, Scala, Python etc.
• Experience with advanced data science technologies like Hadoop, Spark, SQL and NoSQL.
• Knowledge of ETL Tools, DEVOPS, Github, ElasticSearch, Graph DB is big plus.
• Experience with Public cloud technologies such as AWS, Databricks is plus.
• Knowledge of Finance, custody services, data privacy, AML, KYC and related compliance domain is plus.

Salary Range:
$100,000 - $160,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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