Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Associate

PricewaterhouseCoopers•Chicago, IL

21h•Onsite

About The Position

As a Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will be driven by curiosity, adapting to a fast-paced environment while contributing to client engagements and projects. You will build meaningful client connections, manage diverse perspectives, and grow your personal brand by deepening your technical skills and understanding your strengths. In this role at PwC, you will apply a learning mindset and take ownership of your development, actively listening and expressing ideas clearly. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. You will learn and apply professional and technical standards, upholding the Firm's code of conduct and independence requirements. This position offers the chance to develop your potential and sustain performance, all while delivering quality work that drives value for clients and success for the team.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Demonstrating proficiency in statistical and credit risk modeling
Utilizing data analysis tools like Alteryx and Tableau
Engaging in complex data analysis and predictive analytics
Developing skills in machine learning and data science
Applying a learning mindset to adapt in fast-paced environments

Responsibilities

Analyzing large datasets to extract insights and support data-driven decision-making
Utilizing statistical modeling techniques to address complex business challenges
Developing and maintaining data pipelines to streamline data integration and processing
Creating dashboards and visualizations using tools like Power BI and Tableau to communicate findings effectively
Conducting exploratory data analysis to identify trends and patterns in financial data
Implementing data quality improvement plans to enhance data integrity and reliability
Collaborating with team members to gather and analyze information from diverse sources
Applying machine learning algorithms to develop predictive models for risk analysis
Leveraging Python and SQL for data manipulation and analysis tasks
Supporting client engagements by providing data-driven insights and recommendations