Financial Crimes Technology - AML and Data Analytics - Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity
As part of the Data and Analytics team you are expected to lead key workstreams in engagements, staying updated on current trends, and contributing to team knowledge capital. As a Manager you are expected to motivate and inspire others to deliver quality, leveraging team strengths and managing performance to deliver on client expectations. You are expected to be responsible for designing, building, and deploying production-quality models using statistical and machine learning techniques, and leading initiatives involving AI technologies such as neural networks, natural language processing (NLP), predictive analytics, and advanced learning algorithms.
Responsibilities
- Lead key workstreams in engagements and stay updated on current trends
- Motivate and inspire team members to deliver top-quality results
- Leverage team strengths to meet client expectations
- Design, build, and deploy production-quality models using statistical and machine learning techniques
- Lead initiatives involving AI technologies such as neural networks, NLP, predictive analytics, and advanced learning algorithms
- Contribute to team knowledge capital
- Analyze and solve complex problems to develop top-quality deliverables
- Oversee the successful planning, budgeting, execution, and completion of projects
What You Must Have
- Bachelor's Degree
- 5 years of experience
What Sets You Apart
- Master's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering preferred
- Leading key workstreams and staying updated on trends
- Proficiency in designing and deploying production-quality models
- Creating and enhancing custom ML scorecards
- Leading initiatives involving AI technologies
- Proficiency in SQL, Python, and database management
- Utilizing machine learning models and techniques
- Experience in Neural Networks and Pattern Recognition
- Consulting experience in financial crimes and regulatory environments
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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