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Entry Level Quantitative Analyst Jobs in Indiana

The Financial Analyst is an entry level role that supports Everwise by analyzing and reporting on ... Exceptional communication skills, to include verbal, written, visual, and quantitative * Adept at ...

Entry Level Quantitative Analyst information

See Indiana salary details

$53.8K

$127.4K

$228.4K

How much do entry level quantitative analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for entry level quantitative analyst in Indiana is $127,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $138,500.00 per year, depending on experience, location, and employer.

How much do entry level quant analysts make?

Entry-level quantitative analysts typically earn between $60,000 and $80,000 annually, depending on the industry, location, and educational background. Starting salaries can increase with proficiency in programming languages like Python or R, and familiarity with financial modeling and data analysis tools.

What does a typical day look like for an Entry Level Quantitative Analyst?

A typical day as an Entry Level Quantitative Analyst involves analyzing large data sets, building statistical models, and generating reports to support business or investment decisions. You may collaborate closely with other analysts, data scientists, or portfolio managers to interpret data and brainstorm solutions to complex problems. Daily tasks often include coding, data cleaning, and presenting findings to non-technical colleagues. Over time, you’ll gain exposure to more sophisticated projects and can take on greater responsibilities as your experience grows. This diverse workload helps develop both technical expertise and industry knowledge for future career advancement.

Can you get into quant without experience?

Entry level quantitative analyst roles typically require some background in mathematics, programming, or finance, but prior work experience is not always necessary. Strong analytical skills, proficiency in tools like Python or R, and relevant coursework or certifications can help candidates qualify. Internships or project work can also improve chances of entering the field without formal experience.

What are the key skills and qualifications needed to thrive in the Entry Level Quantitative Analyst position, and why are they important?

To thrive as an Entry Level Quantitative Analyst, you need strong analytical and mathematical skills, proficiency in statistical modeling, and a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or SQL and experience using data analysis tools such as Excel, MATLAB, or statistical software are often expected. Excellent problem-solving abilities, communication skills, and attention to detail will help you stand out in this position. These competencies enable you to interpret complex data, deliver actionable insights, and collaborate effectively within fast-paced, data-driven teams.

Will AI replace quant analysts?

AI can automate certain tasks performed by quantitative analysts, such as data analysis and model testing, but it is unlikely to fully replace the role. Quantitative analysts will continue to be essential for developing complex models, interpreting results, and making strategic decisions that require human judgment and expertise. Skills in programming, statistical analysis, and financial knowledge remain valuable in this evolving field.

Is 40 too old to become a quant?

Entry level quantitative analyst roles typically require strong mathematical, programming, and statistical skills, which can be developed at any age. Age is generally not a barrier if you have relevant education, experience, and the ability to learn new tools like Python or R; many professionals transition into quant roles later in their careers.

What is an Entry Level Quantitative Analyst job?

An Entry Level Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to support financial decision-making. They typically work in finance, investment, or risk management, analyzing market trends, evaluating trading strategies, or assessing risk. This role requires strong analytical skills, programming proficiency (often in Python, R, or SQL), and knowledge of financial concepts. It serves as a foundation for more advanced quantitative roles, providing hands-on experience with real-world data and financial models.

What are the most commonly searched types of Quantitative Analyst jobs in Indiana? The most popular types of Quantitative Analyst jobs in Indiana are:
What are popular job titles related to Entry Level Quantitative Analyst jobs in Indiana? For Entry Level Quantitative Analyst jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Entry Level Quantitative Analyst jobs? Cities in Indiana with the most Entry Level Quantitative Analyst job openings:
Infographic showing various Entry Level Quantitative Analyst job openings in Indiana as of July 2026, with employment types broken down into 2% Locum Tenens, 84% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.
Assistant Professor in Quantitative Political Science

Assistant Professor in Quantitative Political Science

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 14 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

335th of 611 rated colleges and universities


Job description

Description
The Department of Political Science at the University of Notre Dame invites applications for a tenure-track appointment at the rank of Assistant Professor in Quantitative Political Science, beginning fall 2027. We seek a scholar with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, who applies frontier methods of statistics and data science to substantive questions in their area of expertise. Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large-scale data collection - to generate substantively important insights into core questions in political science, as opposed to a focus exclusively on methodological contributions. We are particularly interested in candidates whose teaching could complement or contribute to the graduate methods sequence in political science. Duties include teaching, research, and service.
This position is part of the University's Data, AI, and Computing (DAC) Initiative, a University-wide effort that "balances ground-breaking foundational advances in data, AI, and computing with transformative interdisciplinary applications targeting societal challenges," and the successful candidate will hold an affiliation with the Initiative. Teaching obligations will include undergraduate offerings in the Data Science minor and supplemental major in the College of Arts & Letters.
Qualifications
Candidates at the entry level must have completed all requirements for a Ph.D. degree or have completed all but dissertation in political science or a related field with degree expected by July 1, 2027. Candidates at the advanced assistant professor level must have a Ph.D. in political science or a related field.
Applications received by September 15, 2026 will receive full consideration.
Application Instructions
Those attracted to a university with a Catholic identity are particularly encouraged to apply. Information about Notre Dame, including our mission statement, is available at www.nd.edu.
All applicants should include a CV, a letter of interest, a research statement, a teaching statement, one writing sample, teaching evaluations, and three letters of recommendation. Questions may be directed to Professor Richard Clark, chair of the search committee, at richard.clark@nd.edu.

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