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Credit Modeling Associate

AT PwC
PwC

Credit Modeling Associate

San Francisco, CA

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.

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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

Client-provided location(s): San Francisco, CA, USA; New York, NY, USA; Charlotte, NC, USA; Washington, DC, USA; Dallas, TX, USA; Chicago, IL, USA; Florham Park, NJ, USA
Job ID: PricewaterhouseCoopers-589573WD
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • Fitness Subsidies
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
    • Sabbatical
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • 401(K) With Company Matching
    • 401(K)
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Tuition Reimbursement
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program