Senior AI Developer - AML & Sanctions Analytics

PwC; Dallas (TX); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Holiday pay

Vacation

Sick leave

Family leave

Job summary

PwC is seeking an AML and Sanctions - AI Developer - Senior Associate in Dallas to leverage data and analytics for strategic client insights. You will develop AI solutions, build client connections, and lead data-driven decision making within the Risk & Regulatory practice, using Python and data-science techniques across data pipelines and dashboards.

The role emphasizes communication with stakeholders, managing ambiguity, and growing technical skills while driving client value and team

Qualifications

• Bachelor's degree required.
• Minimum 3 years of experience in related field.

Responsibilities

• Developing and implementing innovative AI solutions to optimize business performance and enhance competitive advantage.
• Leveraging data analytics to provide strategic insights and drive informed decision-making for clients.
• Building and maintaining meaningful client connections to understand and anticipate their needs.
• Utilizing Python programming and data science techniques to analyze complex data sets and generate actionable insights.
• Designing and managing data architecture and pipelines to support advanced analytics initiatives.
• Creating and deploying data visualization tools and dashboards to communicate insights effectively.
• Engaging with stakeholders to gather requirements and deliver tailored solutions that address business challenges.

Skills

Python

Data analytics

Stakeholder engagement

Critical thinking

Problem solving

Education

Bachelor's degree

Tools

Data visualization tools

Job description

PwC is seeking an AML and Sanctions - AI Developer - Senior Associate in Dallas to leverage data and analytics for strategic client insights. You will develop AI solutions, build client connections, and lead data-driven decision making within the Risk & Regulatory practice, using Python and data-science techniques across data pipelines and dashboards.

The role emphasizes communication with stakeholders, managing ambiguity, and growing technical skills while driving client value and team