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Weekend Quant Research Internships Jobs in Georgia

University of North Georgia

Data Scientist

Dahlonega, GA · On-site

... interns participating in the Analytics & Innovation Incubator. Please be advised that any offer of ... Forecasting & Quantitative Research - Designs and conducts forecasting studies, scenario analyses ...

Emory University

Visiting Fellow

Atlanta, GA · Hybrid

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

Emory University

Visiting Fellow

Atlanta, GA · Hybrid

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

Emory University

Visiting Fellow

Atlanta, GA · On-site

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

Membersuite

Sales Research Assistant Intern

Dunwoody, GA · On-site

$14.75 - $20/hr

... very quantitative, highly inquisitive • Proficiency with social media (LinkedIn, Facebook ... Internship Compensation: Based on experience **Please note that only qualified candidates with ...

Membersuite

Sales Research Assistant Intern

Dunwoody, GA

$14.75 - $20/hr

... quantitative, highly inquisitive Proficiency with social media (LinkedIn, Facebook, Twitter ... Internship Compensation: Based on experience **Please note that only qualified candidates with ...

Brailsford and Dunlavey

Project Intern

Atlanta, GA

$18 - $25/hr

Interns at B&D are active contributors to real client engagements--not observers--working alongside ... Financial modeling and quantitative analysis * Internet and secondary research * Synthesize and ...

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Weekend Quant Research Internships information

What are weekend quant research internships?

Weekend Quant Research Internships are short-term internship programs that typically take place on weekends, allowing students or recent graduates to gain experience in quantitative research while balancing academic or other commitments during the week. These internships are usually offered by financial institutions, hedge funds, or tech companies, and focus on using mathematical models, statistical analysis, and programming to solve real-world problems. Interns may work on tasks such as data analysis, model development, or back-testing trading strategies. The weekend format is especially beneficial for those who cannot commit to full-time internships due to coursework or other obligations.

What types of projects can I expect to work on as a weekend quant research intern, and how do they contribute to the team's goals?

As a Weekend Quant Research Intern, you will typically work on projects such as analyzing large financial datasets, developing and backtesting trading strategies, and enhancing statistical models. These projects are designed to support the team's research into market trends and contribute directly to the development of trading algorithms or risk management tools. You'll often collaborate with full-time quants, data scientists, and traders, gaining exposure to real-world quantitative finance problems and workflows. This hands-on experience not only builds your technical skills but also helps you understand how quantitative research drives decision-making within the firm.

What are the key skills and qualifications needed to thrive as a weekend quant research intern, and why are they important?

To excel as a Weekend Quant Research Intern, you typically need strong quantitative skills, proficiency in statistics, and a background in fields like mathematics, finance, or computer science, often demonstrated through relevant coursework or degrees. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is highly valued. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with team members. These abilities are essential for producing high-quality research insights and supporting data-driven decision-making in a fast-paced quantitative environment.

What is the difference between Weekend Quant Research Internships vs Weekend Data Analyst Internships?

AspectWeekend Quant Research InternshipsWeekend Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften students in data science, statistics, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksTech companies, consulting firms, or finance departments
Employer & Industry UsageCommon in finance and investment sectorsWidespread across various industries including finance and tech
Search & Comparison IntentInterested in quantitative finance roles on weekendsLooking for data analysis internships on weekends

Weekend Quant Research Internships focus on financial modeling and quantitative analysis within finance firms, requiring finance or math backgrounds. Weekend Data Analyst Internships involve analyzing data across industries, often requiring statistics or data science skills. Both are weekend roles but serve different industry needs and skill sets.

What are the most commonly searched types of Quant Research Internships jobs in Georgia?

The most popular types of Quant Research Internships jobs in Georgia are:

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For Weekend Quant Research Internships jobs in Georgia, the most frequently searched job titles are:

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The top searched job categories for Weekend Quant Research Internships jobs in Georgia are:

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Cities in Georgia with the most Weekend Quant Research Internships job openings:

Weekend Quant Research Internships jobs near you

Data Scientist

University of North Georgia

Dahlonega, GA • On-site

Full-time

Posted 24 days ago

University Of North Georgia rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

504th of 627 rated colleges and universities

Job description

About Us
Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions in the University System of Georgia. UNG is focused on a mission of educational excellence, leadership development and community engagement opportunities that develop students into leaders for a diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus.
Job Summary
The University of North Georgia is accepting applications for a Data Scientist. The Data Scientist supports the University of North Georgia's strategic priorities by applying advanced statistical analysis, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success. The Data Scientist collaborates across the university to solve complex analytical challenges while coordinating and mentoring Data Science interns participating in the Analytics & Innovation Incubator.
Please be advised that any offer of employment is contingent upon your eligibility to work in the United States. The university is aware of recent federal changes that may significantly increase the cost of filing H-1B visa petitions.
As a public institution, the university's ability to cover such costs is subject to budgetary constraints and state funding policies. Therefore, while we remain committed to supporting international faculty hires, we cannot guarantee payment of any newly imposed or increased visa-related fees.
If you have any questions regarding the visa policy, please contact Monica Arrendale at (706) 867-4470.
Responsibilities
  • Advanced Analytics & Predictive Modeling - Develops statistical, predictive, and machine learning models that support enrollment management, student success, retention, graduation, workforce planning, finance, institutional effectiveness, and other strategic initiatives
  • Forecasting & Quantitative Research - Designs and conducts forecasting studies, scenario analyses, and quantitative research using advanced analytical techniques such as regression, classification, clustering, survival analysis, time-series forecasting, optimization, and related methodologies to support strategic planning and executive decision-making.
  • Exploratory Data Analysis & Methodology - Conducts exploratory data analysis to identify patterns, trends, anomalies, and opportunities across institutional data while developing, validating, documenting, and refining analytical methodologies, model assumptions, and research findings to ensure transparency and reproducibility.
  • Institutional Collaboration & Consulting - Collaborates with university leadership, functional offices, Institutional Research, Information Technology, faculty collaborators, and members of Strategic Impact & Engagement to identify analytical opportunities, translate business questions into quantitative solutions, and communicate findings through reports, presentations, and executive briefings.
  • Analytics & Innovation Incubator Leadership - Coordinates and mentors undergraduate and graduate Data Science interns participating in the Analytics & Innovation Incubator by assigning projects, reviewing analytical work, providing technical guidance, and fostering professional development.
  • Innovation & Continuous Improvement - Researches, evaluates, and applies statistical methodologies, machine learning approaches, and artificial intelligence capabilities to strengthen the university's analytical capacity while supporting the continued evolution of the UNG NEST.
  • Professional Development & Other Duties - Maintains current knowledge of developments in data science, higher education analytics, and institutional research through professional development activities and performs other duties as assigned.

Knowledge, Skills, & Abilities
  • Advanced knowledge of statistical analysis, predictive modeling, supervised and unsupervised machine learning, and quantitative research methodologies.
  • Proficiency using analytical programming languages such as Python or R and familiarity with SQL for data analysis.
  • Strong understanding of forecasting, regression, classification, clustering, optimization, survival analysis, and related analytical techniques.
  • Strong analytical reasoning, critical thinking, documentation, and problem-solving skills.
  • Ability to communicate complex analytical findings clearly to technical and non-technical audiences through reports, presentations, and data visualizations.
  • Ability to manage multiple analytical projects while collaborating effectively across multidisciplinary teams.
  • Ability to mentor student researchers and foster professional development within the Analytics & Innovation Incubator.

Required Qualifications
  • Master's degree from an accredited institution in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, Industrial Engineering, Operations Research, Analytics, or a closely related quantitative discipline
  • Minimum 2 years experience applying statistical analysis, predictive modeling, machine learning, and quantitative research techniques within higher education, government, healthcare, business, or a comparable analytical environment.
  • Experience developing analytical models that support strategic decision-making using large, complex datasets.
  • Experience using analytical programming languages such as Python or R and SQL for data analysis.

Preferred Qualifications
  • Preferred: Doctoral degree in a related quantitative discipline.
  • Preferred Qualifications Experience in higher education analytics or institutional research. Experience supporting enrollment management, student success, retention, graduation, finance, workforce planning, or institutional effectiveness initiatives. Experience with Microsoft SQL Server, Power BI, or similar enterprise analytics platforms. Experience mentoring interns, graduate assistants, or junior analysts. Experience applying machine learning and artificial intelligence to solve complex organizational problems. Knowledge of FERPA, data governance principles, and ethical use of institutional data.

Required Documents to Attach
  • Resume
  • Cover Letter
  • Unofficial Transcripts
  • Contact Information for Three Professional References

USG Core Values
The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct .
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 .
Institutional Values
The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of academic excellence in a student-focused environment that includes quality education, service, research, and creativity. This is accomplished through broad access to comprehensive academic and co-curricular programs that develop students into leaders for a diverse and global society. The University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
Conditions of Employment
Offers of employment are contingent upon completion of a background investigation including a criminal background check demonstrating your eligibility for employment with the University of North Georgia, as determined by University of North Georgia in its sole discretion, confirmation of the credentials and employment history reflected in your application materials and, if applicable, a satisfactory credit check. Applicants may be subject to a pre-employment drug test.
Equal Employment Opportunity
The University of North Georgia, a unit of the University System of Georgia, is an Affirmative Action/Equal Opportunity employer and does not discriminate on the basis of race, color, gender, sex or national origin, age, disability, religion, genetics or veteran status. Georgia is an open records state. Also, UNG is a federal contractor and desires priority referrals of protected veterans.
Other Information
  • This is not a supervisory position.
  • This position does not have any financial responsibilities.
  • This position will not be required to drive.
  • This role is considered a position of trust.
  • This position does not require a purchasing card (P-Card).
  • This position will not travel
  • This position does not require security clearance.

Please note: the University of North Georgia career board updates daily, positions are subject to be removed without prior notice or before the posting expires.
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  • Position of Trust + Education

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