Assurance - Financial Market - AI Risk Modeling – Senior Associate

Job description

Industry/Sector Not Applicable Specialism Assurance Management Level Senior Associate Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day. As a Senior Associate in Risk Modeling Services, you will engage in the development and implementation of AI-driven risk models, contributing to the advancement of data and analytics engineering. Within our Assurance practice, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. This role involves building meaningful client relationships and developing a deeper understanding of the business context. In this role at PwC Acceleration Center India, you will navigate complex situations, anticipate the needs of your teams and clients, and deliver quality solutions. You will be exposed to diverse perspectives, using critical thinking to break down intricate concepts and interpret data to inform insights and recommendations. This position offers an opportunity to grow your personal brand and deepen your technical skills while contributing to the firm's overall business strategies. Responsibilities - Developing and implementing AI risk modeling solutions to support client engagements - Analyzing complex data sets to identify patterns and insights using machine learning libraries such as TensorFlow and Scikit-Learn - Building and optimizing data pipelines and infrastructure for efficient data processing and integration - Utilizing programming languages like Python and Java to enhance AI model performance and accuracy - Collaborating with teams to design and deploy neural networks and deep learning models for advanced analytics - Conducting sentiment analysis and text mining to extract valuable information from unstructured data - Applying natural language processing techniques to improve named entity recognition and semantic parsing - Validating data quality and integrity within AI models to maintain reliability and consistency - Leveraging open-source software to innovate and improve AI risk modeling methodologies - Guiding junior team members in AI implementation and complex data analysis tasks What You Must Have - At least a Bachelor's degree - Oral and written proficiency in English required What Sets You Apart - Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing Python and C++ for AI implementation and data modeling - Developing complex data analysis and integration strategies - Implementing machine learning libraries like Scikit-Learn and TensorFlow - Navigating ambiguity while building meaningful client relationships - Mentoring junior team members in AI risk modeling techniques Travel Requirements Job Posting End Date