Junior Associate, Risk & Regulatory AI Team

at  PwC

JOB DESCRIPTION & SUMMARY

We are a growing team in the Risk & Regulatory Platform integrating artificial intelligence and machine learning into risk management and regulatory compliance processes. Our team is dedicated to innovating and implementing AI-driven solutions to navigate the complexities of tour client’s risk and compliance functions efficiently and effectively.

POSITION OVERVIEW

We are seeking a passionate and talented Junior Associate to join our Risk & Regulatory AI Team. This role is ideal for a candidate with a robust background in computer science, physics or engineering, who has experience in practical application of GPU accelerated software. This role is designed for individuals passionate about communicating the use of advanced technologies to non-technical audiences. Ideally the candidate is also experienced and interested in other cutting edge technologies that will disrupt the AI space such as for example quantum tensor networks or neuromorphic chips.

QUALIFICATIONS

• A Master Degree from in computer science, physics or engineering, particularly in areas related to quantum technologies
• Demonstrated proficiency in Python, with experience in Rust and CUDA Python. Knowledge of C/C++ is a plus.
• Hands-on experience with machine learning, data analysis, and AI technologies, ideally including course development or teaching experience in these areas.
  Education (if blank, degree and/or field of study not specified)
  Degrees/Field of Study required:
  Degrees/Field of Study preferred:
  Certifications (if blank, certifications not specified)

OPTIONAL SKILLS

Desired Languages (If blank, desired languages not specified)

• Collaborate with a team to design, develop, and deploy AI-based solutions, focusing on retrieval augmented generation bots for compliance and accounting applications.
• Engage in the entire development lifecycle from conceptualization to deployment, ensuring the highest quality of deliverables.
• Utilize major machine learning frameworks such as PyTorch or TensorFlow to implement innovative models and algorithms.
• Write clean, efficient, and well-documented code in Python, Rust, and ideally C/C++.
• Conduct thorough testing and validation to ensure the reliability and accuracy of the AI models.
• Stay abreast of the latest advancements in AI/ GenAI , machine learning, and other technologies with high disruption potential like quantum computing or neuromorphic chips to help us stay ahead of the curve .
• Design internal and client facing training programs supporting the upskilling around AI opportunities and technologies of our Risk and Regulatory staff in
• Engage with clients, leveraging your excellent communication skills and ability to explain complex technical concepts, to understand their needs and provide bespoke support and guidance.