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Quantitative Risk Analyst Intern Jobs in Michigan

$13.75 - $18.25/hr

... reporting, risk identification, task automation, and decision-making is highly valued ... Good organizational, analytical, and time-management skills. * Strong written and verbal ...

... risk assessments for internal stakeholders * Help maintain and update internal legal trackers ... Detail-oriented with strong analytical and problem-solving abilities * Ability to manage competing ...

To qualify for a Program Analyst, your resume and supporting documentation must support: A ... net, risk-adjusted return on investment. - Determines the specific quantitative and qualitative ...

... and risk in one consistent view. • Prepare analysis and supporting material for board-level ... quantitative skills, including building models, baselines, and metrics in Excel or a BI tool, and ...

Pharmacy Intern - P1 & P2

Chelsea, MI · On-site

$15.75 - $19.75/hr

May prepare low and reproductive risk hazardous medications according to policy. * Delivers ... Analytical skills needed to effectively review the appropriateness of medication requests and to ...

Quality Intern

New Boston, MI

$14.75 - $19.75/hr

Evaluate failure risk analysis with production and development team for new launches * Validate, document, and publish lessons learned from positive and negative experiences, consolidate those ...

Quality Intern

New Boston, MI · On-site

$14.75 - $19.75/hr

Evaluate failure risk analysis with production and development team for new launches * Validate, document, and publish lessons learned from positive and negative experiences, consolidate those ...

... quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... risk analysis. * Curriculum Awareness & Adaptive Instruction: Familiar with business statistics ...

Showing results 41-60

Quantitative Risk Analyst Intern information

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst Intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a Quantitative Risk Analyst Intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a Quantitative Risk Analyst Intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Michigan? The most popular types of Quantitative Risk Analyst jobs in Michigan are:
What cities in Michigan are hiring for Quantitative Risk Analyst Intern jobs? Cities in Michigan with the most Quantitative Risk Analyst Intern job openings:
IT Intern Project Management

IT Intern Project Management

Corning

On-site, Remote

$13.75 - $18.25/hr

Internship

Posted 5 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

86th of 535 rated manufacturers


Job description

The company built on breakthroughs.
Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations  not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Role Purpose

We are looking for a proactive and detail-oriented IT Project Management Intern to support the planning, coordination, tracking, and documentation of technology-related projects. This role is ideal for a student or recent graduate interested in gaining hands-on experience in IT project coordination, digital initiatives, systems implementation, process improvement, and cross-functional collaboration.

The intern will work closely with IT teams, business stakeholders, and project leads to help ensure projects are well-documented, timelines are monitored, and deliverables are tracked effectively. An interest in exploring how Artificial Intelligence (AI) can improve project planning, reporting, risk identification, task automation, and decision-making is highly valued.

 

Responsibilities

  • Assist in coordinating IT and digital projects, including system implementations, infrastructure upgrades, software deployments, and process automation initiatives.
  • Support project managers and IT leads in creating and maintaining project plans, timelines, status reports, and meeting documentation.
  • Track project tasks, milestones, risks, issues, and dependencies to help ensure timely completion of deliverables.
  • Collaborate with technical teams to collect updates on ongoing activities, testing progress, system changes, and support requirements.
  • Help prepare and maintain project documentation, including action logs, technical coordination notes, project charters, and progress reports.
  • Participate in project meetings, document meeting minutes, and follow up on assigned action items.
  • Assist in coordinating user testing, system rollout activities, training schedules, and post-implementation follow-up.
  • Support communication between IT teams and business users to ensure requirements, updates, and timelines are clearly understood.
  • Contribute to reporting dashboards and presentations related to IT project performance and status.
  • Help identify opportunities for process improvement, workflow optimization, and better project tracking, including the potential use of AI-based tools for reporting, forecasting, automation, and knowledge management.
  • Provide administrative and coordination support for technology initiatives as needed.

Required Qualifications

  • Currently pursuing a degree in Information Technology, Computer Science, Information Systems, Engineering, Business Technology, or a related field.
  • Strong interest in IT project management, technology operations, systems implementation, or digital transformation.
  • Good organizational, analytical, and time-management skills.
  • Strong written and verbal communication skills.
  • Proficiency in Microsoft Office, especially Excel, PowerPoint, Word, and Outlook.
  • Basic understanding of IT environments, software development, infrastructure, or system support processes is an advantage.
  • Familiarity with project tracking or collaboration tools such as Microsoft Project, ServiceNow and Power Platform tools are plus.
  • Ability to work effectively with both technical and non-technical stakeholders.
  • Strong attention to detail and willingness to learn. 

Desired Qualifications

  • Basic knowledge of project lifecycle, Agile, Waterfall, or hybrid project methodologies.
  • Understanding of IT concepts such as software deployment, testing, change management, cloud systems, infrastructure, help desk operations, or cybersecurity projects.
  • Ability to organize multiple tasks and maintain accurate records.
  • Problem-solving mindset with an interest in operational efficiency and technology delivery.
  • Professional attitude, adaptability, and teamwork.

 

Desired Skills

  • Excellent communication and presentation skills
  • Strong problem-solving abilities
  • Basic understanding of IT infrastructure devices and equipment
  • Ability to deliver under tight deadlines and handle multiple detail-oriented tasks
  • Highly analytical mind with exceptional attention to detail
  • Self-motivated, independent, flexible, and quick learner
  • Great teamwork skill
  • Exposure to or interest in AI tools, automation platforms, data analysis tools, or generative AI applications for business and project management purposes is an advantage.

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