Company: PwC
Location: Hybrid
Posted on: February 14
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
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 team you engage in data analysis and contribute to client projects using tools like Python and SQL. As an Associate you focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You are exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by expanding your technical knowledge of firm services and technology resources. You also develop a deeper understanding of the business context and how it is changing, using critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
Responsibilities
- Engage in data analysis and contribute to client projects using Python and SQL
- Develop skills and knowledge to deliver quality work in client engagements
- Build meaningful client connections and learn to manage and inspire others
- Grow personal brand by expanding technical knowledge of firm services
- Develop a deeper understanding of the changing business context
- Use critical thinking to break down complex concepts
- Interpret data to inform insights and recommendations
- Embrace ambiguity and use challenges as opportunities for growth
What You Must Have
- Bachelor's Degree
- 2 years of experience
What Sets You Apart
- Master's Degree in Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, or Data Processing/Analytics/Science preferred
- Demonstrating experience with Python, R, or SAS
- Familiarity with Java, C++/C#, SQL, Tableau, Alteryx
- Understanding advanced AI/machine learning techniques
- Possessing knowledge of financial services industry
- Exposure to credit risk, market risk modeling
- Familiarity with Bloomberg, Refinitiv pricing tools