Credit Modeling Senior Associate

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3 Locations
84K-202K Annually
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
At PwC, our purpose is to build trust in society and solve important problems.
The Role

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.


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 a Senior 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
  • 3 years 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, Applied Mathematics, Econometrics, Quantitative Finance 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: $84,000 - $202,000, 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

What the Team is Saying

Person1
Art
Senior Associate
“The most exciting part about the technology transformation within PwC has been the level of commitment at every level of the firm. And one of those examples is the digital accelerator program. It allows people to teach others about ways to use technology and improve the way they do things. “
Art
Brandon
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The Company
New York, NY
370,000 Employees
Hybrid Workplace
Year Founded: 1998

What We Do

At PwC, we inspire and empower our people to create meaningful change in the world. With a presence in 149 countries, our global network of over 370,000 professionals helps organizations navigate challenges and seize opportunities in assurance, advisory, and tax services.

Joining PwC means embarking on a journey where innovation meets opportunity.

Why Work With Us

Here,, technology powers everything we do—from solving complex business challenges to driving innovation for our clients. Join us to build cutting-edge solutions, grow your expertise, and make an impact at a global scale.
Joining PwC means embarking on a journey where innovation meets opportunity.

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