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Remote Quantitative Analyst Internship Jobs (NOW HIRING)

Remote What These Candidates Likely Do • Systematic: Use rules-based, quantitative strategies ... Likely Job Titles • Quantitative Analyst (Quant) • Risk Manager • Portfolio Manager ...

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Remote Quantitative Analyst Internship information

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$56.5K

$133.9K

$240K

How much do remote quantitative analyst internship jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote quantitative analyst internship in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Remote Quantitative Analyst Internship?

A Remote Quantitative Analyst Internship is a temporary, entry-level position where interns work from a remote location to assist organizations with data analysis, mathematical modeling, and financial research. Interns typically use statistical tools and programming languages to analyze large datasets, identify trends, and generate reports that help guide business or investment decisions. This internship provides valuable hands-on experience in quantitative analysis, exposure to industry-standard software, and the opportunity to collaborate with experienced analysts—all while working outside of a traditional office environment.

What are some common challenges faced by remote quantitative analyst interns, and how can they be overcome?

Remote quantitative analyst interns often face challenges such as limited access to immediate feedback, staying connected with team members, and managing time effectively without direct supervision. To overcome these, it's important to proactively communicate with supervisors and colleagues through scheduled check-ins and virtual meetings. Using collaborative tools for data sharing and project tracking can also help maintain productivity and alignment with team goals. Additionally, setting a structured daily routine and seeking out mentorship opportunities within the organization can greatly enhance the remote internship experience.

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

To thrive as a Remote Quantitative Analyst Intern, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, often supported by coursework in economics, finance, or related fields. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and statistical modeling software, is typically required. Excellent problem-solving abilities, clear communication, and the ability to work independently are crucial soft skills for remote collaboration and reporting insights. These skills are essential for accurately analyzing data, supporting decision-making, and contributing effectively to team goals in a remote environment.
More about Remote Quantitative Analyst Internship jobs
What cities are hiring for Remote Quantitative Analyst Internship jobs? Cities with the most Remote Quantitative Analyst Internship job openings:
What are the most commonly searched types of Remote Quantitative Analyst jobs? The most popular types of Remote Quantitative Analyst jobs are:
What states have the most Remote Quantitative Analyst Internship jobs? States with the most job openings for Remote Quantitative Analyst Internship jobs include:
Infographic showing various Remote Quantitative Analyst Internship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Risk Modeling and Analytics Manager

Huntington

Atlanta, GA • On-site, Remote

$93K - $141K/yr

Other

Medical, Life, Retirement, PTO

Posted 5 days ago


Job description

Description Huntington National Bank has a new opportunity within Consumer and Regional Banking (CRB) for a Quantitative Risk Modeling and Analytics Manager. This position will focus on quantitative techniques and model development to help support a variety of credit functions including credit modeling, PPNR modeling, fair lending analytics and provide quantitative support for other areas to help manage risks associated with Huntington's balance sheet. This position will drive the model framework to help support the CRB quantitative program and provide cross-functional statistical support to different areas within the Bank.

The Quantitative Risk Modeling and Analytics Manager will lead the development of models and techniques to facilitate evaluation of risk and reward across a variety of lending products. The role will also work with a larger team that is responsible for forecasting key elements of Huntington's balance sheet and income statement as part of our annual capital planning activities which includes both commercial and consumer assets and liabilities. Duties and Responsibilities: Develop quantitative methods and models using SQL, SAS, R, and python for optimization of credit risk across consumer and regional banking portfolios, including writing effective documentation to meet standards set by the model governance group.

Gather and assemble data for quantitative method and model development including loan characteristics from loan origination data sources as well as loan accounting systems. Partner with data analytics teams to ensure the validity of data, identify non-compliance and make recommendations for corrective action. Interact with outside consultants that may be used to develop models.

Manage the process and help direct the final output. Work with the internal partners to implement models within a framework to allow efficient and effective use of models for fair lending analytics, capital planning, and stress testing. Lead analytic approaches for credit portfolio management and manage other modeling analysts responsible for CRB analytics.

Use Oracle financial applications and the corporate data warehouse in the development of portfolio and transaction analysis if necessary. Performs other duties as assigned. Basic Qualifications: Minimum master's degree required with an economics or other quantitative/statistics concentration, related field, or equivalent experience.

5+ years of experience in statistical modeling using SQL, SAS, R, and Python Preferred Qualifications: Quantitative method and modeling experience in the banking industry. Experience working with statistical/econometric modeling platforms (SAS, R, Matlab, or Eviews) and building statistical/econometric models. Excellent written and verbal (face-to-face and phone) communication skills including professional grammar and demeanor.

Ability to interact with various levels of management and external regulators with the ability to communicate complex calculations into language that is clear and concise. Work well with others but yet willing to offer a point of view that may be contrary to conventional wisdom. Excellent PC software skills including all Microsoft Office Products.

Strong organizational skills with attention to detail. Ability to multi-task. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement.

We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter.

Specific work arrangements will be provided by the hiring team. Compensation Range: $93,000.00 - $141,000.00 Annual Salary The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education

Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property.

Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration. Apply