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

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity

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.

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

What You Must Have

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

What Sets You Apart

- 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

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.