AML and Sanctions - AI Developer - Senior Associate

PwC•Washington, DC

1d•$77,000 - $202,000

About The Position

As an AML and Sanctions - AI Developer - Senior Associate, you will leverage data and analytics to provide strategic insights and support informed client decision-making within PwC’s Risk & Regulatory practice. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. In the Senior Associate role, you will build client connections and develop skills in managing and inspiring others while strengthening your technical expertise and delivering quality work in increasingly complex and ambiguous situations. You will work in the Financial Crimes Unit - AML & Sanctions Managed Services, using advanced analytics to help clients optimize operations and achieve strategic goals. You will interpret data to produce insights and recommendations, uphold professional and technical standards, and use a range of tools and methodologies to solve problems and contribute to the firm’s business strategies. The position requires a bachelor's degree and at least three years of experience. Travel requirements are up to 60%.

Requirements

At least a bachelor's degree.
At least 3 years of experience.
Use Python for data analysis and interpretation.
Develop business data analytics strategies for client solutions.
Demonstrate stakeholder engagement and relationship-building skills.
Apply critical thinking and problem-solving in complex situations.
Embrace change and continuous process improvement.
Interpret data to inform insights and recommendations.

Nice To Haves

Preference for a field of study such as Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, or Science.

Responsibilities

Develop and implement innovative AI solutions to optimize business performance and enhance competitive advantage.
Leverage data analytics to provide strategic insights and support informed client decision-making.
Build and maintain client connections to understand and anticipate client needs.
Use Python programming and data science techniques to analyze complex datasets and generate actionable insights.
Design and manage data architecture and pipelines that support advanced analytics initiatives.
Create and deploy data visualization tools and dashboards to communicate insights effectively.
Engage stakeholders to gather requirements and deliver tailored solutions to business challenges.
Uphold professional and technical standards while interpreting data to inform insights and recommendations.
Navigate complex situations and embrace change while developing technical skills and fostering personal growth.