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Weekend Quant Research Internships Jobs in Indiana

Imh

$14.50 - $18.75/hr

Occasional support outside standard hours, including holidays or weekends, may be required to ... Interns may also participate in research, development, and evaluation of emerging technologies ...

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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 Indiana?

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

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

What job categories do people searching Weekend Quant Research Internships jobs in Indiana look for?

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

What cities in Indiana are hiring for Weekend Quant Research Internships jobs?

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

Weekend Quant Research Internships jobs near you

Health Data Science/AI Associate

Regenstrief Institute

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 13 days ago

Job description

POSITION PURPOSEWorking alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical expertise, professional skills, and an understanding of modern health data science.Projects are selected to align with each extern's strengths, interests, and career goals while providing opportunities to expand knowledge across cloud computing, AI, data engineering, clinical data analysis, and health informatics.

New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.

This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.   ESSENTIAL DUTIES AND RESPONSIBILITIESUnder the guidance of supervisors and scientific mentors, the extern may:
  • Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  • Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  • Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  • Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  • Assist in implementing and improving data pipelines, workflows, and automated processes.
  • Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  • Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  • Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  • Prepare technical documentation, process documentation, and project summaries.
  • Present project updates and findings to mentors, supervisors, and project teams.
  • Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  • Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  • Perform other related duties as assigned.
QUALIFICATIONSRequired EducationRequires at least a Bachelor's degree in one of the following (or a closely related field):
  • Data Science
  • Health or Biomedical Informatics
  • Computer Science
  • Data Engineering
  • Statistics
  • Information Science
  • Applied Mathematics
  • Related quantitative discipline
Required Qualifications
  • Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  • Basic proficiency with SQL, Python, or another programming language.
  • Demonstrated analytical thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  • Ability to prepare technical documentation and communicate technical concepts clearly.
  • Intellectual curiosity, initiative, and willingness to learn new technologies.
  • Commitment to protecting confidential and sensitive health information.
PREFERRED QUALIFICATIONSPreference may be given to candidates with exposure to one or more of the following:
  • Cloud computing platforms
  • Machine learning or artificial intelligence
  • Clinical or healthcare data
  • Data visualization tools
  • Git or source code management
  • Health data standards such as OMOP, HL7, or FHIR
CORE COMPETENCIESSuccessful externs demonstrate:
  • Learning Agility
  • Analytical Thinking
  • Collaboration
  • Communication
  • Accountability
  • Curiosity and Innovation
  • Professionalism
  • Adaptability
  • Continuous Improvement
PHYSICAL DEMANDSThe physical demands described here are representative of those an individual can expect while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Ability to sit and/or stand for extended periods.
  • Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  • Occasional lifting or carrying of materials weighing up to 20 pounds.
 WORK ENVIRONMENTThis position operates in a hybrid work environment, combining remote work with on-site work at Regenstrief Institute facilities. Externs collaborate regularly with supervisors, mentors, researchers, and technical staff using both in-person and virtual collaboration tools.BENEFITS OF WORKING HERE 
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness
Please note sponsorship and/or relocation are not available for this position. REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION. 

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