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PwC

AML and Sanctions - AI Developer - Senior Associate

Posted 52 Minutes Ago
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Hybrid
Dallas, TX
77K-202K Annually
Mid level
Hybrid
Dallas, TX
77K-202K Annually
Mid level
Develop AI and data analytics solutions for AML and sanctions clients within PwC’s Risk & Regulatory practice. Responsibilities include Python-based data analysis, designing data architectures and pipelines, creating dashboards, interpreting complex datasets, engaging stakeholders, and delivering actionable insights and tailored client solutions. The role also involves client relationship building, problem-solving, continuous improvement, and contributing to strategic business outcomes.
The summary above was generated by AI
The Opportunity
As an AML and Sanctions - AI Developer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients within our Risk & Regulatory practice. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity.
In this role at PwC, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of the Financial Crimes Unit - AML & Sanctions Managed Services, where your ability to interpret data to inform insights and recommendations will be crucial. Upholding professional and technical standards, you will use a broad range of tools and methodologies to generate new ideas and solve problems, contributing to the firm's overall business strategies.
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
- Upholding professional and technical standards while interpreting data to inform insights and recommendations
- Navigating complex situations and embracing change to foster personal growth and technical skills development
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- 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
- Excelling in stakeholder engagement and relationship building
- Navigating complex situations with critical thinking and problem-solving
- Embracing change and continuous process improvement
- Interpreting data to inform insights and recommendations
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

PwC El Segundo, California, USA Office

2141 Rosecrans Avenue Suite 5100, El Segundo, CA, United States, 90245

PwC Irvine, California, USA Office

2020 Main Street Suite 400, Irvine, CA, United States, 92614

PwC Los Angeles, California, USA Office

601 South Figueroa Street Suite 900, Los Angeles, CA, United States, 90017

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