Advisory Intern Risk Services Modeling Credit Liquidity Summer 2027

KPMG LLP; New York (NY); On-site; USD 34,000 - 52,000; Part time

Job summary

KPMG LLP is seeking an Advisory Intern, Risk Services to join our Advisory practice in Summer 2027. The role supports client engagements in financial risk management, model development and regulatory reporting, with a focus on data-driven analytics and AI-enabled insights.

As an Early Career opportunity, you will work on large datasets using tools like Excel, SQL, and Python, contribute to risk assessments, and gain exposure to governance frameworks and capital/liquidity optimization in a

Qualifications

• Must be enrolled in an accredited college or university and pursuing the following degrees/majors: Bachelors or Masters Degree in Mathematics, Statistics, Data Science, Business Analytics, Quantitative Analysis, Computer Information systems or an equivalent program from an accredited college or university
• Must have a current/most recent GPA of 3.00 or above
• Strong understanding of capital markets, banking, financial products and accounting
• Fluency with artificial intelligence concepts and tools including Open AI, Anthropic, LLMs, Agent and Co-work capabilities with ability to apply AI techniques to analyze and interpret data, using insights to solve problems and effectively communicate findings to technical and non-technical stakeholders
• Proficiency in MS Office applications, ability to work with large datasets; data/programming skills is a strong plus
• Strong in technical, business acumen, critical thinking and agility skills; demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment

Responsibilities

• Support client engagements focused on financial risk management, including evaluation of model, credit, market, liquidity risk, regulatory interpretation, stress scenario design and risk metric calibration
• Develop, test, validate and document financial and risk models, including financial risk, forecasting and stress testing frameworks
• Analyze large datasets using tools and coding languages such as Excel, SQL, R, or Python to generate insights, dashboards and key risk indicators for internal and client use; conduct risk analysis by reviewing financials, exposures and portfolio performance, while monitoring adherence to policies and regulatory expectations
• Assist in the development, testing and production of management, board and regulatory reporting and related deliverables; evaluate client processes, controls and governance frameworks against regulatory requirements and leading practices
• Document risk policies, procedures, controls and governance frameworks to support client compliance and operational effectiveness; build and enhance analytical tools and solutions that enable clients to optimize capital and liquidity usage in alignment with regulatory expectations
• Utilize artificial intelligence tools and techniques to consume large data sets and interpret, review and effectively challenge output

Skills

AI concepts

Excel

SQL

Python

Analytical thinking

Communication

Teamwork

Education

Math / Data Science degree

GPA 3.0+

Tools

OpenAI

Anthropic

LLMs

Job description

Career Level Requirement

Early Career

If you are currently pursuing college coursework or have completed a bachelor’s degree or higher in the past 12 months. If it has been more than 12 months since you have graduated from an undergraduate or graduate degree program you should explore experienced career opportunities at KPMG Careers: Experienced Professionals.

Start Season & Year: Summer 2027

Earliest Graduation Date: Nov 2027

Latest Graduation Date: Sep 2028

At KPMG, we are not only keeping pace with the future of business; we are defining it. Harnessing the full power of AI and digital innovation, we deliver intelligent, data-driven solutions to help our clients navigate change and transform their competitive edge. Our people-first approach makes this possible. KPMG invests in continuous learning by providing the tools and training for you to thrive within a culture that fosters growth and collaboration, whether you’re launching your career or bringing decades of experience. Join an inclusive team that inspires excellence, delivers meaningful impact, and empowers you to shape your own future.

KPMG is currently seeking an Advisory Intern, Risk Services to join our Advisory practice.

Responsibilities

• Support client engagements focused on financial risk management, including evaluation of model, credit, market, liquidity risk, regulatory interpretation, stress scenario design and risk metric calibration
• Develop, test, validate and document financial and risk models, including financial risk, forecasting and stress testing frameworks
• Analyze large datasets using tools and coding languages such as Excel, SQL, R, or Python to generate insights, dashboards and key risk indicators for internal and client use; conduct risk analysis by reviewing financials, exposures and portfolio performance, while monitoring adherence to policies and regulatory expectations
• Assist in the development, testing and production of management, board and regulatory reporting and related deliverables; evaluate client processes, controls and governance frameworks against regulatory requirements and leading practices
• Document risk policies, procedures, controls and governance frameworks to support client compliance and operational effectiveness; build and enhance analytical tools and solutions that enable clients to optimize capital and liquidity usage in alignment with regulatory expectations
• Utilize artificial intelligence tools and techniques to consume large data sets and interpret, review and effectively challenge output

Qualifications

• Must be enrolled in an accredited college or university and pursuing the following degrees/majors: Bachelors or Masters Degree in Mathematics, Statistics, Data Science, Business Analytics, Quantitative Analysis, Computer Information systems or an equivalent program from an accredited college or university
• Must have a current/most recent GPA of 3.00 or above
• Strong understanding of capital markets, banking, financial products and accounting
• Fluency with artificial intelligence concepts and tools including Open AI, Anthropic, LLMs, Agent and Co-work capabilities with ability to apply AI techniques to analyze and interpret data, using insights to solve problems and effectively communicate findings to technical and non-technical stakeholders
• Proficiency in MS Office applications, ability to work with large datasets; data/programming skills is a strong plus
• Strong in technical, business acumen, critical thinking and agility skills; demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment
• Work location may be in the office, at client sites or virtual/remote depending on business need; you must be located within the U.S. when working remotely; client site locations may require travel and overnight/extended stay
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=UTAADVIC12_8_24

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.