AML and Sanctions - Fenergo Configuration Analyst - Senior Associate

Industry/Sector Banking and Capital Markets Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As an AML and Sanctions - Fenergo Configuration Analyst - 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 focus on developing and implementing innovative solutions to optimize business performance and enhance competitive advantage.

As a Senior Associate, you will build meaningful client connections, manage and inspire others, and navigate complex situations to grow your personal brand and deepen your technical skills. 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 a team that focuses on leveraging data to drive insights and make informed business decisions.

This position offers the opportunity to develop a deeper understanding of the business context and how it is changing, while using a broad range of tools and methodologies to generate new ideas and solve problems.

Responsibilities - Analyzing complex data sets to provide strategic insights and drive informed decision-making for clients - Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage - Leveraging advanced analytics techniques to support clients in achieving their strategic goals - Building and maintaining meaningful client connections to anticipate and address their needs - Navigating complex situations to deliver quality work and grow personal brand and technical skills - Utilizing AI fluency and data science skills to enhance data

analysis and interpretation - Collaborating with stakeholders to develop business cases and drive continuous process improvement - Upholding professional and technical standards while interpreting data to inform insights and recommendations - Engaging in industry trend analysis to stay informed and adapt to changing business contexts - Managing and inspiring team members to foster a collaborative and inclusive work environment 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 - Configuring and implementing Fenergo solutions aligned with client requirements - Translating business and regulatory requirements into effective Fenergo configurations - Providing comprehensive customer demonstrations on FenX -

Demonstrating proficiency in AI-Human Collaboration and AI Fluency - Utilizing analytical thinking for complex problem-solving - Developing business data analytics and data science skills - Engaging in continuous process improvement and digital tooling - Excelling in stakeholder engagement and teamwork - Embracing change and industry trend analysis Travel Requirements Up to 60% Job Posting End Date 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. To view other PwC job opportunities, visit pwc.com/careers. Do not click on the "Search for Jobs" button. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC.

Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

• Bachelor's degree required
• Minimum 3 years of relevant experience
• Proficiency in data analytics, AI fluency, and Fenergo configuration