Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Data and Analytics Engineering team, you design, implement, and refine AI- and data-driven solutions to address complex business challenges in the Financial Services Risk and Regulatory domain. As a Senior Associate, you analyze complex problems, mentor others, and maintain standards while building client relationships and developing a deeper understanding of the business context. You work closely with cross-functional teams, leveraging your knowledge in machine learning, generative AI, and cloud platforms to deliver quality work and grow your personal brand and technical skills.
Responsibilities
- Design and implement AI-driven solutions for complex business challenges
- Refine data-driven strategies in the Financial Services Risk and Regulatory domain
- Collaborate with cross-functional teams to leverage machine learning proficiency
- Utilize cloud platforms like AWS, Azure, or Google Cloud for solution development
- Mentor team members to uphold exemplary standards and technical excellence
- Build and maintain enduring client relationships
- Develop a thorough understanding of business contexts
- Enhance personal brand and technical skills through continuous learning
What You Must Have
- Bachelor's Degree
- 3 years of experience
What Sets You Apart
- Master's Degree in Computer Science, Data Processing/Analytics/Science, Statistics preferred
- Proficiency in Python and ML libraries
- In-depth understanding of data structures and algorithms
- Familiarity with regulatory compliance in financial services
- Microsoft Copilot certification preferred
Learn more about 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: All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. The salary range for this position is: $84,000 - $202,000, 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 and more. To view our benefits at a glance, please visit the following link:Description: Are you looking for your next Aviation opportunity?Whether you specialize in airframe, powerplant, avionics, or interiors, TeamGlobal has opportunities that will align with your career goals. We are actively seeking an Aircraft...
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