... various types of modeling techniques, and communicate the resulting trends and observations ... quantitative discipline • Experience in Python or R, and various libraries/packages • Some ...
... various types of modeling techniques, and communicate the resulting trends and observations ... quantitative discipline • Experience in Python or R, and various libraries/packages • Some ...
We are seeking a Public Finance Investment Banking Intern to join the Hospitality team in Phoenix ... Developing comprehensive and dynamic quantitative financial models to structure and optimize public ...
We are seeking a Public Finance Investment Banking Intern to join the Hospitality team in Phoenix ... Developing comprehensive and dynamic quantitative financial models to structure and optimize public ...
Quantitative Risk Control: The use of any Models invariably presents Model Risk, which is the ... Based on performance during the assignment, a percentage of the intern cohort will be placed in a ...
Quantitative Risk Control: The use of any Models invariably presents Model Risk, which is the ... Based on performance during the assignment, a percentage of the intern cohort will be placed in a ...
DOD Skillbridge Internship
Phoenix, AZ · On-site
Ability to use statistical analysis, simulations, predictive modeling, or other quantitative methods to analyze information and develop practical solutions to business problems. * Write memos ...
Quick apply
DOD Skillbridge Internship
Phoenix, AZ · On-site
Ability to use statistical analysis, simulations, predictive modeling, or other quantitative methods to analyze information and develop practical solutions to business problems. * Write memos ...
Intern Quantitative Modeling information
What are the key skills and qualifications needed to thrive as an Intern in Quantitative Modeling, and why are they important?
To thrive as an Intern in Quantitative Modeling, you need a solid foundation in mathematics, statistics, and programming, often supported by coursework in quantitative fields like finance, engineering, or computer science. Familiarity with tools such as Python, R, MATLAB, and experience with statistical modeling libraries or financial data systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills distinguish top candidates in this role. These skills and qualities are crucial for accurately analyzing complex data, building reliable models, and clearly presenting findings to support business or research decisions.
What are Intern Quantitative Modeling positions?
Intern Quantitative Modeling positions are internship roles where students or recent graduates work with experienced quantitative analysts to develop and implement mathematical models that assist in financial decision-making, risk management, or trading strategies. Interns typically use statistical, programming, and analytical skills to analyze large data sets and help solve real-world financial problems. These internships offer hands-on experience with quantitative tools, exposure to industry practices, and opportunities to learn from professionals in fields such as finance, insurance, or technology.
What is the difference between Intern Quantitative Modeling vs Intern Data Analysis?
| Aspect | Intern Quantitative Modeling | Intern Data Analysis |
|---|---|---|
| Required Skills | Mathematics, programming, financial modeling | Data manipulation, statistical analysis, visualization |
| Work Environment | Finance, investment banks, hedge funds | Tech companies, consulting firms, research institutions |
| Typical Tasks | Building models, forecasting, risk assessment | Data cleaning, reporting, trend analysis |
Intern Quantitative Modeling and Intern Data Analysis roles often overlap in skills like programming and data handling. However, quantitative modeling focuses more on creating financial or mathematical models used for decision-making, while data analysis emphasizes interpreting data to uncover insights. Both roles are common in finance and tech industries, but they serve different strategic purposes.
What types of projects or tasks can an Intern in Quantitative Modeling expect to work on during their internship?
As an Intern in Quantitative Modeling, you can expect to assist with developing, testing, and validating mathematical models used for financial analysis, risk assessment, or trading strategies. Typical tasks include working with large datasets, coding in programming languages such as Python or R, and collaborating with senior analysts or data scientists to solve real-world business problems. You'll often participate in team meetings, present your findings, and receive feedback to refine your models. This hands-on experience will help you build strong technical and analytical skills, while giving you exposure to the collaborative nature of quantitative teams in finance or technology firms.
What cities in Arizona are hiring for Intern Quantitative Modeling jobs? Cities in Arizona with the most Intern Quantitative Modeling job openings:
Data Scientist Intern - In Office, Scottsdale, AZ only
Sandhills Global, Inc.Scottsdale, AZ • On-site
Internship
Posted 20 days ago
Sandhills Global rating
8.0
Based on 5 frontline employees who took The Breakroom Quiz
8th of 17 rated publishing
Job description
Data Scientist Intern - In Office, Scottsdale, AZ only
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.
Scottsdale, Arizona, USA
The Data Scientist Intern will be responsible for assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services. Specifically, they will be asked to learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers. These duties will often require the ability to visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations. Additionally, the Data Scientist Intern may be asked to help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible. This work would still require the foresight of how the data will eventually be utilized to ensure it is made available in the most advantageous way possible. Ideally, the Data Scientist Intern would gain the knowledge and experience necessary to be transitioned into a full-time Data Scientist role as soon as they prove to be ready, and the opportunity presents itself.
Internships at Sandhills Global can start at any point in the semester - we are having new hires start their journey with us every single week! Pick a start date that works for you.
Qualifications:
• Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
• Experience in Python or R, and various libraries/packages
• Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
• Ability to perform critical thinking and statistical analysis
• Strong oral and written communication skills
• Knowledge around computer vision, Natural Language Processing, or Large Language Models preferred
• Experience with SQL, stored procedures, or APIs preferred
• Familiarity with platforms like Spark, Kubernetes, Docker, or Jenkins preferred
• Ability to commute when scheduled to the local office is required
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Hours during regular work week, Ability to commute daily to local office is required.
About Sandhills Global
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Lincoln, NE, US
Year founded
1978