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Intern - Year Round (Model Risk Management)

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Vienna

AI generated summary

  • You should be pursuing a master's/doctoral degree in a quantitative field, with skills in analytics, modeling, Python/R, SQL, and experience in financial services model development and validation.
  • You will analyze data using Python and R, evaluate model performance, provide insights, assess risks, and present findings to guide decision-making within financial services.

Requirements

  • • Pursuing master’s or doctoral degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
  • • Ability to understand complex business problems
  • • Skill in communicating actionable insights using data to technical and non-technical audiences
  • • Skill in descriptive, predictive, and prescriptive analytics and modeling
  • • Experience in using classification models to solve business problems
  • • Demonstrates an understanding of the modeling lifecycle
  • • Skill in data mining, data wrangling, and data transformation
  • • Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • • Skill in Python or R
  • • Skill in SQL and querying (able to pull/transform your own data)
  • • Experience developing production models in the financial services industry
  • • Experience with model validation under the OCC Supervisory Guidance on Model Risk Management
  • • Experience with Artificial Intelligence system development or testing

Responsibilities

  • Leverage technologies – including Python and R – to analyze and gain insights within large data sets
  • Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology.
  • Using statistical practices, analyze current and historical data to make predictions, and identify risks, and opportunities, enabling better decisions on planned/future events
  • Provide analytics insights and solutions to solve complex business problems
  • Examine data from multiple sources and share insights with leadership and stakeholders
  • Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision-making
  • Develop and maintain an understanding of relevant industry standards, best practices, business processes, and technology used in modeling and within the financial services industry
  • Assess the model’s overall fit/suitability with its intended use and purpose
  • Provide subject matter expertise to identify models’ key assumptions, limitations, and weaknesses, and recommend practical solutions to mitigate model risk
  • Prepare and present clear, thorough reports to model developers and model owners explaining the analysis performed, the results of the analysis, and recommendations for improvement

FAQs

What is the main focus of the Model Risk Management intern position?

The main focus of the Model Risk Management intern position is to support end-to-end validations of Navy Federal’s machine learning models by analyzing the models’ data, conceptual soundness, key assumptions, limitations, and performance.

What are the programming languages required for this internship?

The internship requires skills in Python or R for data analysis, along with proficiency in SQL for querying and transforming data.

What educational background is preferred for this internship?

The ideal candidate should be pursuing a master’s or doctoral degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field, or a related area.

What kind of projects will interns work on?

Interns will work on validating machine learning models across various subject domains, such as fraud detection, targeted marketing, and natural language processing.

Will interns have the opportunity to present their findings?

Yes, interns will prepare and present clear, thorough reports to model developers and model owners, explaining their analysis, findings, and recommendations for improvement.

Is experience in the financial services industry required for this role?

While not strictly required, experience in developing production models within the financial services industry is a desired qualification for the role.

What type of skills are expected in terms of analytics?

Candidates should demonstrate skills in descriptive, predictive, and prescriptive analytics, as well as the ability to analyze current and historical data to identify risks and opportunities.

Are there opportunities for growth or future employment after the internship?

Yes, Navy Federal values career development and offers a meaningful career experience with the potential for future employment after the internship.

What is the work environment like for this internship?

The internship is in a hybrid workplace environment, which allows for a mix of remote and in-office work.

Does Navy Federal promote diversity and inclusion in the workplace?

Yes, Navy Federal values and enacts diversity in the workplace and considers all qualified applicants for employment without regard to various factors such as race, gender, or disability.

Our Members Are the Mission

Finance
Industry
10,001+
Employees
1933
Founded Year

Mission & Purpose

Navy Federal is the world’s largest credit union, with more than 13 million members, $178 billion+ in assets and 24,000+ employees. Throughout campuses in Vienna, VA Pensacola, FL and Winchester, VA, as well as more than 350 branches, we serve the Armed Forces, Department of Defense, veterans and their families with world-class financial products and services. Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. Equal Housing Lender