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Advisory Services - Valuation Services Complex Data Analytics Intern

Crowe High Point, North Carolina
data data analytics analytics intern data analytics data analytics team won intern modeling machine learning learning
September 27, 2022
Crowe
High Point, North Carolina
**BE YOURSELF. WORK FLEXIBLY. GROW WITH ONE-ON-ONE SUPPORT. MAKE AN IMPACT.**

Crowe is a global public accounting, consulting, and technology firm that combines deep industry and specialized expertise with innovation. Here, you won t get lost among the masses, and you won t have to sacrifice your personal life, either. You ll be valued for who you are: an individual with a lot to offer.

**At Crowe, you ll get:**

- Competitive and generous compensation

- Flexibility in where you work and plentiful time-off
- The technology and innovation you d expect from a large firm, with the approachability of a mid-sized firm
- Personalized coaching and career support
- A culture based on genuine authenticity and human connection
- Opportunities to make a real difference at work and in your community

As our world continues to be unpredictable, we're committed to turning every challenge into an opportunity. We encourage new ideas and want to hear yours. Join us.

**JOB DESCRIPTION:**

ADVISORY SERVICES - VALUATION SERVICES COMPLEX DATA ANALYTICS INTERN

**SUMMARY:**

The Valuation Services (VS) complex analytics group is seeking an intern to join the team, with a focus on expanding our data analytics and statistical modeling unit. Crowe s VS complex analytics team helps our clients with testing, validation and development of complex statistical and valuation models that include regression and machine learning models utilized in forecasting the default rate and loss given default for commercial and consumer bank loans, performing model validations for complex Fair Lending and Anti-Money Laundering vendor tools, and reviewing proprietary black box models/algorithms related to model risk management.

**QUALIFICATIONS AND EDUCATION:**

- Strong background in data science/data analytics, or financial engineering is a prerequisite, preferably with a master s degree (although undergraduate qualifications with strong data knowledge and extensive hands-on experience on data intensive projects, including class projects, will be considered)

- Regression modeling, data visualization , machine learning algorithms experience, including demonstrated class projects
- Programming experience using data and statistical languages (i.e., SQL, R, Python, SAS, STATA, Tableau, Power BI, JupyterLab, minimum qualifications include fluency in two languages)
- Good communication skills (both oral and written) to support client facing work
- Demonstrated history of collaboration and working in a team environment, relevant school projects or internships

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