Credit Modeling Associate

Sorry, this job was removed at 03:04 p.m. (CST) on Thursday, May 08, 2025
7 Locations
Hybrid
72K-100K Annually
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role

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. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Apply a learning mindset and take ownership for your own development.
  • Appreciate diverse perspectives, needs, and feelings of others.
  • Adopt habits to sustain high performance and develop your potential.
  • Actively listen, ask questions to check understanding, and clearly express ideas.
  • Seek, reflect, act on, and give feedback.
  • Gather information from a range of sources to analyse facts and discern patterns.
  • Commit to understanding how the business works and building commercial awareness.
  • Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.


The Opportunity
As part of the Data and Analytics team you are expected to develop and validate econometric, statistical, and AI/ML models, and lead complex projects. As an Associate you are to analyze complex problems, mentor others, and maintain rigorous standards. You are to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations to grow your personal brand and technical proficiency.
Responsibilities

  • Develop and validate econometric, statistical, and AI/ML models
  • Lead and manage complex projects
  • Analyze and solve intricate problems
  • Mentor and support team members
  • Maintain exceptional standards in project deliverables
  • Build and strengthen client relationships
  • Expand understanding of business contexts
  • Navigate complex scenarios to grow personal and technical knowledge


What You Must Have

  • Bachelor's Degree
  • 1 year of experience


What Sets You Apart

  • Econometric/statistical, machine learning, and other analytical modeling
  • Proficiency in analytical software including Python, SAS, R, SQL
  • Retail and/or wholesale credit risk models
  • Statistical and machine learning techniques for analyzing financial data
  • Model documentation and/or model validation report writing
  • Thorough understanding of model risk management concepts
  • Knowledge of rules and regulations like SR11-7/OCC 11-12
  • Modeling experience in the financial industry
  • Applying proficiency in multiple modeling methodologies
  • Doctor of Philosophy in Economics, Mathematical Economics, Mathematical Statistics, Statistics preferred


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.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
The salary range for this position is: $72,000 - $100,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters

PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes.

As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions.

You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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