Industry/Sector
Not Applicable
Specialism
Forensic Technology
Management Level
Associate
Job Description & Summary
At PwC, our people in forensic services focus on identifying and preventing fraudulent activities, conducting investigations, and maintaining compliance with regulatory requirements. Individuals in this field play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.
In fraud, investigations and regulatory enforcement at PwC, you will focus on identifying and preventing fraudulent activities, conducting investigations, and confirming compliance with regulatory requirements. You will play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.
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:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
- When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
- As part of the Forensic Services team you are going to build and maintain data pipelines that drive insights for our clients. As an Associate you are going to engage in hands-on data engineering tasks while collaborating with experienced professionals to enhance your technical skills. This role offers a valuable opportunity to work with advanced data technologies and contribute to impactful projects in a supportive and innovative environment.
Responsibilities
- Assist in the development and implementation of data solutions
- Analyze and interpret data to provide actionable insights
- Collaborate with team members on various projects and tasks
- Support senior staff in delivering quality work to clients
- Engage in research to enhance knowledge of industry trends
- Utilize a variety of tools and methodologies for problem-solving
- Contribute to the preparation of reports and presentations
- Maintain adherence to professional standards and ethical guidelines
What You Must Have
- High School Diploma
- 1 year of experience in data engineering or analytics engineering
- Oral and written proficiency in English required
What Sets You Apart
- Bachelor's Degree in Engineering, Computer Science, Data Science preferred
- Relevant cloud or data certifications preferred
- 1 to 3 years of experience in data engineering
- Hands-on experience in analytics engineering preferred
- Familiarity with Azure and Databricks preferred
Travel Requirements
Not Specified
Job Posting End Date
