AML Data Analyst (Hybrid In San Jose) at TEKsystems

**W2 only. No C2C. Sponsorship is not available.

**Requires hybrid 3 days/week in San Jose, CA.

**12-Month Contract-to-Hire

Job Responsibilities:

This Business Data Analyst will join a global Anti-Money Laundering team, specifically supporting their Transaction Monitoring program that’s devoted to monitoring and flagging unusual activity associated with money laundering. They will be responsible for developing new Anti-Money Laundering Transaction Monitoring rules (in-house system) and attuning existing rules based on large marketplace data analysis and user feedback. Primarily responsibilities include, but are not limited to:

• Develop new Anti-Money Laundering Transaction Monitoring rules based on large data analysis and stakeholder feedback.
• Optimize existing Transaction Monitoring rules based on ATL/BTL analysis as well as feedback from engaging with downstream users.
• Incorporate model analysis and insight to better detect and reduce false positive rates.
• Partner with local and global partners and stakeholders to gather feedback and implement changes.
• Provide ongoing and ad hoc reports on rule performance and outcomes.
• Additional TM related ad hoc analysis and reviews.

Required Experience:

• Strong experience as a Data Analyst, preferably supporting anti-money laundering and transaction monitoring functions
• Ability to apply developing AML typologies, analytics, controls quickly and apply them to the transaction monitoring system.
• Ability to oversee AML testing and quality assurances in supporting new controls for transaction monitoring.
• Strong knowledge and experience with BSA laws, regulations and related compliance requirements, international AML/CFT standards such as those promulgated by the Financial Action Task Force, OFAC compliance.
• Federal Law Enforcement, regulator, FIU, or similar experience in the investigation, research, and documentation of money laundering or terrorist financing or 3-5 years of BSA/AML experience.
• Thorough working knowledge of the risk indicator trends in money laundering, terrorist financing or other related financial crimes and the ability to position our processes to ensure we are able to mitigate those risks.
• Experience with BSA transaction monitoring or case management applications and related analytics.
• Data modeling experience.
• SQL Proficiency is mandatory.
• Tableau Proficiency is mandatory.
• Advanced Microsoft Office skills (Excel, Word, PowerPoint, Access) including the use of pivot tables.

Other Required Skills:

• Ability to multi-task, work independently and a team player with strong collaborative qualities and a positive demeanor.
• Strong writing and oral communication skills.
• Ability to work on confidential and sensitive matters with a high degree of professionalism and discretion.
• Analytical, investigative research and documentation skills.
• Ability to draft policies, procedures, and management reports.
• Ability to work with agility in a fast paced, and rapidly changing environment, within time-critical situations.

Education Requirements:

• Bachelor's degree in business, accounting or related field, law degree, or other widely recognized banking school.
• Anti-Money Laundering Specialist, Financial Crimes Specialist, Certified Fraud Examiner, or related professional certification preferred.

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.