Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
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Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis ... Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text ...
... and quantitative methods to zoo data and increasing connectivity between zoo and museum ... Proficiency in at least one analytical or scripting language (Python, R, SQL, or equivalent)
... and quantitative methods to zoo data and increasing connectivity between zoo and museum ... Proficiency in at least one analytical or scripting language (Python, R, SQL, or equivalent)
Internship Python Quant information
What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?
As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.
What are the key skills and qualifications needed to thrive as an Internship Python Quant, and why are they important?
To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.
What is an Internship Python Quant?
An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.
What is the difference between Internship Python Quant vs Quantitative Analyst?
| Aspect | Internship Python Quant | Quantitative Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in finance, mathematics, or computer science | Bachelor's or master's in finance, mathematics, or related fields; often requires experience |
| Work Environment | Internship setting, learning-focused, entry-level | Full-time, professional environment, responsible for trading strategies |
| Employer & Industry Usage | Financial firms, hedge funds, investment banks | Financial institutions, asset management firms, hedge funds |
| Common Search & Comparison | Yes | Yes |
The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.
What cities in Tennessee are hiring for Internship Python Quant jobs? Cities in Tennessee with the most Internship Python Quant job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 12 days ago
Job description
Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak Ridge, TN.
Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.
Position Summary
The Analytics Engineer I (Entry-Level) will support Navarro's Data & Analytics team by helping build and maintain data pipelines, assisting with reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing into a strong analytics or applied AI contributor, including work involving AI/ML techniques to extract, structure, and validate key information from unstructured documents.
Responsibilities
Requirements
Requirements
Preferred Qualifications
Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.
Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status, or any classification protected by applicable state or local law.
EEO Employer/Vet/Disabled
Benefits
Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.
Position Summary
The Analytics Engineer I (Entry-Level) will support Navarro's Data & Analytics team by helping build and maintain data pipelines, assisting with reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing into a strong analytics or applied AI contributor, including work involving AI/ML techniques to extract, structure, and validate key information from unstructured documents.
Responsibilities
- Assist in designing, building, and maintaining data pipelines and ETL/ELT processes.
- Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
- Support the development of dashboards and reports using Excel and other business intelligence tools.
- Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
- Build and support AI/ML-driven workflows for extracting key text and structured data from documents, including NLP, LLM-based extraction, and OCR plus ML pipelines.
- Collaborate with data scientists, analysts, and business stakeholders to understand data and applied AI project needs.
- Help document data models, pipeline logic, and AI/ML workflow processes.
- Contribute to data quality checks and validation processes for both traditional data and AI-generated outputs.
Requirements
Requirements
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
- Working knowledge of SQL for querying and manipulating data.
- Proficiency in Excel, including formulas, pivot tables, and data visualization.
- Proficiency in Python and/or R, including experience with relevant ML/AI libraries such as pandas, scikit-learn, or similar tools.
- Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text extraction, natural language processing, or document processing.
- Strong analytical and problem-solving skills.
- Good communication skills and the ability to work in a collaborative, cross-functional environment.
- Attention to detail and a commitment to data accuracy.
Preferred Qualifications
- Master's degree in a relevant quantitative field.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud and BI tools such as Tableau, Power BI, or Looker.
- Familiarity with version control, such as Git, and basic software engineering practices.
- Experience with LLM-based tools or APIs for document parsing, text extraction, entity recognition, or information extraction.
- Experience with OCR tools or unstructured document processing, including PDF or text parsing libraries
- Local candidates are preferred.
Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.
Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status, or any classification protected by applicable state or local law.
EEO Employer/Vet/Disabled
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation & Public Holidays)
- Short Term & Long Term Disability
About Navarro
Sourced by ZipRecruiter
Industry
Clean energy services
Company size
501 - 1,000 Employees
Headquarters location
Oak Ridge, TN, US