Senior Associate, AML and Sanctions – AI Developer

Jobtailor; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

PwC is seeking a data analytics professional to develop AI solutions and leverage data-driven insights for clients in the Risk & Regulatory practice. The role involves building data pipelines, dashboards, and strategic analytics while engaging stakeholders and delivering tailored client solutions.

The candidate should have 3+ years of experience, a relevant bachelor’s degree, and be prepared for up to 60% travel. PwC operates within a high-stakes financial crimes environment.

Qualifications

• At least a Bachelor's degree.
• At least 3 years of experience.
• Preference for fields of study including Accounting, Analytics/Data Science, Economics, Computer Science, Finance, Mathematics, or related.
• Utilizing Python for data analysis and interpretation.
• Developing business data analytics strategies for client solutions.
• Stakeholder engagement and relationship building.
• Critical thinking and problem-solving.
• Continuous process improvement.
• Up to 60% travel.
• PwC sponsorship through the H-1B lottery is generally unavailable under the stated policy.

Responsibilities

• Develop and implement innovative AI solutions to optimize business performance.
• Leverage data analytics to provide strategic insights for clients.
• Build and maintain client connections to anticipate needs.
• Use Python and data science techniques to analyze data and generate insights.
• Design and manage data architecture and pipelines to support analytics initiatives.
• Create and deploy data visualization tools and dashboards to communicate insights.
• Engage with stakeholders to gather requirements and deliver tailored solutions.
• Uphold professional and technical standards while interpreting data to inform insights.
• Navigate complex situations and embrace change to foster growth and skills development.
• Work within PwC's Financial Crimes Unit – AML & Sanctions Managed Services in the Risk & Regulatory practice.

Skills

Python Programming

Data Analytics

Stakeholder Engagement

Critical Thinking

Business Data Analytics Strategies

Education

Bachelor's degree

Tools

Data Science Techniques

Data Architecture

Data Visualization

Complex Data Analysis

Actionable Insights Generation

Job description

• Develop and implement innovative AI solutions to optimize business performance and enhance competitive advantage
• Leverage data analytics to provide strategic insights and drive informed decision-making for clients
• Build and maintain meaningful client connections to understand and anticipate their needs
• Use Python programming and data science techniques to analyze complex data sets and generate actionable insights
• Design and manage data architecture and pipelines to support advanced analytics initiatives
• Create and deploy data visualization tools and dashboards to communicate insights effectively
• Engage with stakeholders to gather requirements and deliver tailored solutions addressing business challenges
• Uphold professional and technical standards while interpreting data to inform insights and recommendations
• Navigate complex situations and embrace change to foster personal growth and technical skills development
• Work within PwC's Financial Crimes Unit - AML & Sanctions Managed Services in the Risk & Regulatory practice

Requirements

• At least a Bachelor's degree
• At least 3 years of experience
• Preference for at least one of the following fields of study: 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, Science
• Utilizing Python for data analysis and interpretation
• Developing business data analytics strategies for client solutions
• Stakeholder engagement and relationship building
• Critical thinking and problem-solving
• Continuous process improvement
• Interpreting data to inform insights and recommendations
• Up to 60% travel
• PwC sponsorship through the H-1B lottery is generally unavailable under the stated policy

Core Competencies

Demonstrates expertise in developing and implementing AI solutions and data analytics strategies to optimize business performance. Proficient in Python programming and data science techniques for analyzing complex data sets and delivering actionable insights.

Highest-signal resume keywords

• Python Programming
• Data Analytics
• Stakeholder Engagement
• Critical Thinking
• Business Data Analytics Strategies

ATS Optimization Keywords

Hard Skills

• Data Science Techniques
• Data Architecture
• Data Visualization
• Complex Data Analysis
• Actionable Insights Generation

Soft Skills

• Relationship Building
• Problem-Solving
• Continuous Process Improvement

Industry Keywords

• Financial Crimes Unit
• AML & Sanctions
• Risk & Regulatory
• Business Administration
• Quantitative Finance

Tools & Technologies

• Data Visualization Tools
• Dashboards