Industry/Sector
Not Applicable
Specialism
Forensic Technology
Management Level
Senior 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.
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:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
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
- 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 Fraud, Investigations and Regulatory Enforcement team you will develop and maintain ELT pipelines to support data-driven decision-making. As a Senior Associate you will collaborate with senior engineers, mentor junior team members, and build sturdy relationships with stakeholders while navigating complex data challenges. This role offers an exciting opportunity to enhance your technical knowledge and contribute to impactful data solutions.
Responsibilities
- Develop and maintain ELT pipelines for data-driven decisions
- Collaborate with senior engineers to enhance project outcomes
- Mentor junior team members to build their skills
- Build relationships with stakeholders for productive collaboration
- Navigate complex data challenges to secure project success
- Contribute to impactful data solutions through innovative approaches
- Analyze data to inform insights and recommendations
- Implement industry standards for data management and processing
What You Must Have
- Bachelor's Degree
- 3 years 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
- 3 to 6 years of experience in data engineering or analytics engineering
- Relevant cloud or data certifications preferred
- Experience with Azure or Databricks preferred
- Familiarity with data modeling and ETL processes preferred
- Proficiency in SQL and data visualization tools preferred
- Understanding of data governance and security practices preferred
- Ability to work collaboratively in cross-functional teams preferred
- Knowledge of machine learning concepts preferred
Travel Requirements
Not Specified
Job Posting End Date
