Logo of Huzzle

Home

Matches

Explore

Manage

Summer Associate Internship (Data Scientist - Lending Analytics)

image

Navy Federal Credit Union

15d ago

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
  • Vienna

AI generated summary

  • You should pursue a quantitative degree, possess data visualization skills, communicate insights effectively, and adapt to dynamic environments with strong writing and interpersonal abilities.
  • You will analyze large datasets using Python and R, build predictive models, create data visualizations, collaborate with teams, and optimize processes for lending analytics.

Requirements

  • Currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner.
  • Advanced skill in communicating actionable insights using data to technical and non-technical audiences.
  • Experience working in a dynamic, research-oriented environments.
  • Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
  • Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually.
  • Proficient in storytelling with data skills.
  • Strong technical writing skills.
  • Skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience.
  • Strong verbal, interpersonal and written communication skills.

Responsibilities

  • - Leverage a broad set of modern technologies – including Python, R, Scala, and Spark – to analyze and gain insights within large data sets.
  • - Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
  • - Provide analytics insights and solutions to solve complex business problems.
  • - Manage, architect, and analyze big data to build data driven insights and high impact data models.
  • - Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology.
  • - Apply business knowledge and advanced statistical modeling techniques when building data structures and tools.
  • - Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment.
  • - 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.
  • - Create data visualizations and/or dashboards to monitor and explain risk trends that are relevant for loss and originations modeling.
  • - Conduct model validations and routinely assess model performance.
  • - Create reports and other deliverables to assist with business planning, continuity, and strategy.
  • - Lead initiatives to streamline or automate processes related to data preparation, quality assurance, execution of in-production models, report creation.
  • - Use a variety of analytical and modeling techniques to develop and/or refine strategies related to underwriting criteria, pricing, line management, loss forecasting, loan loss reserves to drive business direction across multiple asset classes (e.g., Auto, Unsecured, Cards, Mortgage, etc.).

FAQs

What is the primary focus of the Summer Associate Internship in Lending Analytics?

The primary focus is to participate in projects related to enhanced analytics tracking, dashboarding, or automation, while developing analytical solutions and recommending strategies to maximize net profitability of Lending portfolios.

What kind of projects will the intern work on?

The intern will work on providing independent data science, machine learning, and analytical insights using member, financial, and organizational data, creating descriptive and predictive models, and solving complex business problems.

What technologies are utilized in this internship role?

The role leverages a broad set of modern technologies including Python, R, Scala, and Spark to analyze large data sets.

What qualifications are required for this internship position?

Candidates must be currently pursuing an undergraduate or graduate degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field.

What skills are emphasized for successful applicants?

Skills in data visualization, advanced statistical modeling, communication of actionable insights, and technical writing are emphasized, along with proficiency in tools like Power BI and Tableau.

Will the intern be working independently or collaboratively?

The intern will collaborate with other team members, subject matter experts, and delivery teams to deliver strategic advanced analytic-based solutions from design to deployment.

What is the work environment for this internship?

The internship operates in a hybrid workplace setup, which means a combination of remote and in-office work.

Is previous experience in a research-oriented environment required?

While previous experience is preferred, it is not explicitly required; however, familiarity with dynamic, research-oriented environments is advantageous.

What kind of outcomes should interns aim to produce?

Interns should aim to produce data-driven insights, high-impact models, dashboards for monitoring risk trends, and reports that assist with business planning and strategy.

Are there opportunities for skill development during this internship?

Yes, interns will have opportunities to develop skills in data analysis, model creation, and data visualization while working on real-world business problems.

What is the goal of the Lending Analytics Credit Risk & Decision Science team?

The goal of the team is to maximize the net profitability of Lending portfolios while balancing member service and needs through effective data analysis and model development.

Navy Federal Credit Union

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