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Weekend Quant Research Internships information

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 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 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 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.
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Weekend Quant Research Internships jobs near you

Assistant Professor of Foundations and Secondary Education with Expertise in Educational Research

Indiana University Academic Positions

South Bend, IN • On-site

Full-time

Re-posted 18 hours ago

Job description

Position Details
Title Assistant Professor of Foundations and Secondary Education with Expertise in Educational Research Appointment Status Tenure Track Department IU South Bend Education Location South Bend Position Summary
The School of Education at Indiana University South Bend is seeking a full-time, tenure track faculty Assistant Professor of Secondary/Foundation of Education with training in and knowledge of Educational Research practices. This position will be instrumental in aligning the program with state requirements related to the use of science-based reading curriculum and enhancing literacy outcome.
Responsibilities will include:
  • The full-time load (100% FTE) is 12 credit hours (typically four courses) each fall and spring semester, with one course (25% FTE) reassigned time for scholarly and creative activities following university & campus policies.
  • Teaching in the summer is voluntary and compensated separately.
  • Courses may be in-person, Online, hybrid, or in additional formats, and may be offered in the evenings/weekends and off campus partner locations.
  • Candidate is in the process of establishing or continuing a robust research agenda. The candidate aspires to develop a national or international presence in their field. The candidate is familiar with quantitative, qualitative, or mixed-methods research techniques.
  • Assisting in School/Division Level data planning, collection and analysis, as needed.
  • Providing service to the school, college, campus, and university and participate in shared governance activities
  • Working collaboratively with faculty from across campuses, K-12 schools, and outside agencies.

Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.

CAMPUS SAFETY AND SECURITY:
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD. https://protect.iu.edu/police-safety/annual-reports/index.html
ACCOMMODATIONS:
If you have a disability and need assistance with an application, special arrangements can be made to accommodate most needs by contacting Academic Affairs at: 574-520-4183.
Basic Qualifications
Required Basic Qualifications
  • Ph.D. or Ed.D. in Educational Research or related field
  • 5+ years of secondary-level teaching experience(6-12)
  • Ability to demonstrate expertise in Educational Research Methods.
  • Demonstration of excellent interpersonal, oral, and written communication skills
  • Strong teaching and research skills

Preferred Basic Qualifications
  • Has proven experience and proficiency in teaching across various higher education platforms, including on-line, blended, and face-to-face formats.
  • Experience with or understanding of Accreditation.
  • Expertise in Action Research
  • 2+ years' experience within Higher Education setting.
  • Experience or familiarity with the Indiana state-mandated requirement on the use of science-based reading curriculum.
Department Contact for Questions
Tony Randles at randlest@iu.edu
Additional Qualifications Salary and Rank Special Instructions
Interested candidates must submit the following items for consideration:
  • LETTER OF APPLICATION -A cover letter that addresses the qualifications described and the applicant's interest in the position, with particular emphasis on experience with Science of Reading and working in early childhood educational contexts
  • CURRENT CURRICULUM VITAE or resume
  • TRANSCRIPT, submit all university undergraduate and graduate transcripts - unofficial transcripts are acceptable for the application, but official transcripts will be required prior to finalization of hiring.
  • TEACHING STATEMENT, submit a two page teaching statement
  • RESEARCH STATEMENT/PLAN, submit a research statement of your current research activities and future plans.
  • LIST OF REFERENCES , submit complete contact information for three to six professional references. Reference letters must be submitted only through the online application process.

For Best Consideration Date 04/09/2025 Expected Start Date 08/01/2025 Posting Number IU-101211-2025

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