Credit Modeling Senior Associate

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

Those in financial risk modelling at PwC will focus on developing and implementing models to assess and manage financial risks for clients. Your work will involve analysing data, conducting stress tests, and providing recommendations to mitigate risks.

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

As part of the Financial Risk Modelling team you will lead the development and validation of econometric and statistical models. As a Senior Associate, you will manage complex projects, motivate teams, and leverage your analytical skills to drive strategic decision-making in the financial sector. This position provides an exciting opportunity to deepen your understanding of model risk management while working with industry experts and enhancing your professional growth.

Responsibilities

• Inspire and motivate team members to achieve goals
• Apply analytical skills to inform strategic decisions
• Broaden understanding of financial sector challenges
• Provide guidance on recommended practices in model development

What You Must Have

• Bachelor's Degree
• 3 years of experience

What Sets You Apart

• Doctor of Philosophy in Economics, Econometrics, Economics and Finance, Mathematical Statistics, Mathematical Economics, Quantitative Finance, Statistics preferred
• Demonstrating proficiency in Python, SAS, R, SQL, and Excel/VBA
• Leading complex projects and motivating teams
• Utilizing statistical and machine learning techniques for financial data
• Developing and validating econometric and AI/ML models
• Understanding model risk management concepts and practices
• Exhibiting proven verbal and written communication skills
• Applying modeling experience in retail and wholesale credit underwriting
• Demonstrating thorough knowledge of rules and regulations

Travel Requirements

Up to 40%

Job Posting End Date

October 17, 2025

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

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.

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 s