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Quantitative Economics Jobs in Indiana (NOW HIRING)

CFA - Level 1 Tutor

Bloomington, IN · Remote

$18 - $40/hr

Deep knowledge of CFA Level 1 examination content covering ethical and professional standards, quantitative methods, economics, financial statement analysis, corporate issuers, equity investments ...

CFA - Level 1 Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Deep knowledge of CFA Level 1 examination content covering ethical and professional standards, quantitative methods, economics, financial statement analysis, corporate issuers, equity investments ...

Deep knowledge of CFA Level 1 examination content covering ethical and professional standards, quantitative methods, economics, financial statement analysis, corporate issuers, equity investments ...

CFA - Level 1 Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of CFA Level 1 examination content covering ethical and professional standards, quantitative methods, economics, financial statement analysis, corporate issuers, equity investments ...

You will be using quantitative methods to assess the impact of offline and digital marketing. You ... Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing ...

Ability to explain elasticity of demand, consumers and producers surplus, and continuous compounding while preparing students for economics and MBA quantitative coursework. * Conceptual Teaching ...

Ability to explain elasticity of demand, consumers and producers surplus, and continuous compounding while preparing students for economics and MBA quantitative coursework. * Conceptual Teaching ...

Ability to explain elasticity of demand, consumers and producers surplus, and continuous compounding while preparing students for economics and MBA quantitative coursework. * Conceptual Teaching ...

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Showing results 1-20

Quantitative Economics information

See Indiana salary details

$29.5K

$86.2K

$138.9K

How much do quantitative economics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for quantitative economics in Indiana is $86,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $113,200.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Economics vs Data Analyst?

AspectQuantitative EconomicsData Analyst
Required CredentialsDegree in Economics, Mathematics, or related fields; often advanced degreesBachelor's or master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, policy analysis, academic or economic consulting firmsBusiness, marketing, finance departments, or tech companies
Employer & Industry UsageFinancial institutions, government agencies, research institutionsCorporations, marketing firms, tech companies
Common Search & Comparison IntentUnderstanding economic modeling, policy impact, research rolesData interpretation, reporting, business insights

While both roles involve data analysis, Quantitative Economics emphasizes economic modeling and policy research, often requiring advanced degrees. Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. The roles differ in work environment and industry focus but share skills in data handling and statistical analysis.

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

To thrive as a Quantitative Economist, you need a strong background in economics, advanced mathematics, and statistical analysis, often supported by a degree in economics, mathematics, or a related field. Familiarity with statistical software such as R, Python, Stata, or MATLAB and experience with econometric modeling are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings to non-technical audiences are valuable soft skills. These competencies enable Quantitative Economists to analyze data effectively, inform policy or business decisions, and clearly convey insights to stakeholders.

What jobs make $1,000,000 a year?

In quantitative economics, high-earning roles such as hedge fund managers, investment bankers, and senior quantitative analysts can reach or exceed $1 million annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, trading, or data analysis environments.

What does a quantitative economist do?

A quantitative economist analyzes economic data and models to understand market trends, forecast economic conditions, and inform policy or business decisions. They use statistical tools, econometrics, and programming languages like R or Python to develop and test economic theories and models. This role often requires strong analytical skills and a background in economics, mathematics, or statistics.

What types of projects or analyses do Quantitative Economics professionals typically work on within organizations?

Quantitative Economics professionals often engage in projects that involve data-driven analysis, such as forecasting economic trends, evaluating policy impacts, and modeling financial markets. Their daily work may include developing econometric models, analyzing large datasets, and presenting insights to stakeholders across departments like finance, strategy, or policy. Collaboration with data scientists, business analysts, and other economists is common to ensure that quantitative findings are integrated into broader business or policy decisions. This role provides opportunities to work on high-impact projects and often leads to advancement into senior analytical or leadership positions.

What can you do with a Quantitative Economics degree?

A degree in Quantitative Economics prepares individuals for roles such as financial analyst, data analyst, economic researcher, or risk manager. These positions often require strong analytical skills, proficiency in statistical software, and understanding of economic models to analyze data and inform decision-making across finance, government, and consulting sectors.

What is quantitative economics?

Quantitative economics is a field that applies mathematical and statistical methods to analyze economic data and solve economic problems. Professionals in this area use models and quantitative techniques to make predictions, assess policy impacts, and understand economic relationships. It combines economics theory with tools from mathematics, statistics, and computer science to provide rigorous analysis and support data-driven decision making.

Is Quantitative Economics a good major?

Quantitative Economics is a strong major for careers in finance, data analysis, and economic research, as it develops skills in mathematical modeling, statistics, and economic theory. Graduates often find opportunities in banking, consulting, government agencies, and tech firms, especially when combined with programming skills in tools like R or Python. The major provides a solid foundation for analytical roles and can lead to high-demand, well-paying jobs.
What cities in Indiana are hiring for Quantitative Economics jobs? Cities in Indiana with the most Quantitative Economics job openings:
Infographic showing various Quantitative Economics job openings in Indiana as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $86,192 per year, or $41.4 per hour.
Quantitative Modeling and Research Analyst (II or Senior)

Quantitative Modeling and Research Analyst (II or Senior)

Federal Home Loan Bank of Indianapolis

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Is it a Bank? A cooperative? A leader in affordable housing? We are all those things and more!
Our core mission at FHLBank Indianapolis is to provide reliable and readily available liquidity to our member institutions to support housing finance and community development. Simply put, we're a bank for banks, credit unions, community development financial institutions and insurers across Indiana and Michigan. We also assist in meeting the economic and housing needs of communities and families through grants and subsidized advances that support affordable housing and economic development.
But enough about us, let's talk about you.
Are you looking for a company that views their employees as their greatest asset?
A company that's dedicated to making a difference in the community? So much so they pay their employees to volunteer?
Do you want to join a talented workforce that prioritizes equal opportunity within an inclusive culture, and promotes learning and development, unique skills/ideas, and employee engagement?
If you've said yes to these questions, then we might be a match!
Here is what we offer:
  • Flexible hybrid workforce model: Onsite three days a week and two days remote. We also offer remote flex days!
  • Fantastic, competitive pay and total rewards
  • Industry-high 401(k) match: up to 6% PLUS...an additional 4% contribution!
  • Tuition reimbursement assistance: To help you continue to develop personally and professionally.
  • Student loan repayment assistance: That's right, we will help you repay outstanding student loans!
  • Awesome Benefits Package: Medical, dental, vision benefits and even pet (you read that right) insurance!
  • Generous time off: Vacation, paid federal holidays, birthday month floating holiday, volunteer day and summer hours program
  • "Dress for your day" dress code: You choose the appropriate work attire based on what your day looks like.

Statistics show that it is less likely for some candidates to submit their application if they don't meet all the criteria within the job description. If this is you, we encourage you to give yourself a chance and submit your application anyway, as you may be the perfect match for this role!
Purpose:
The Quantitative Modeling and Research Analyst (II or Senior) is responsible for the development and maintenance of various financial models used across the organization. The role resides in the Modeling & Analytics Group (M&A) within the Enterprise Risk Management (ERM) department. Through these responsibilities, the M&A Group works closely with several lines of business, as well as with Information Technology, Model Risk Management, and Internal Audit.
The following statements are intended to describe the general nature and level of work being performed by people assigned to the job. They are not intended to be an exhaustive list of all responsibilities or abilities required. The Bank reserves the right to alter or amend this description at any time.
Specific Responsibilities:
  • Implements, tests, and operates a diverse range of models for loan valuation, pledged collateral hair-cut, probability of default, loss estimation, etc.
  • Utilizes modeling, statistical, and computational techniques to test, evaluate, and calibrate/tune various credit and market risk models, as well as to set data analytics complementary to model use.
  • Establishes and maintains model documentation for theory, settings, assumptions, change control, model performance monitoring, and model use guides in coordination with the Model Risk Management Group, as well as the Regulatory Advisory Bulletins.
  • Explains model details, theory, assumptions, and settings to Model Users and others across the organization.
  • Supports model validation requests and resolves model validation findings or recommendations.
  • Interacts directly with Model Validators and Regulators with regard to model settings, assumptions, implementation, etc.
  • Leads the process to develop required model enhancements.
  • Stays current on methodologies, statistical, mathematical, analytical, and computational techniques related to model management and development.

Competencies:
Business
  • Analytics Knowledge
  • Research Knowledge
  • Quantitative Implementation Knowledge

General
  • Maintaining Institutional Knowledge
  • Results-driven
  • Time Management

People
  • Communication
  • Interpersonal Skills

Position Requirements:
  • Graduate degree, Master's or PhD, in Mathematics, Quantitative Analysis, Statistics, Operations Research, Financial Engineering, or any other quantitative field. CFA or/and FRM certifications are a plus.
  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst doing quantitative research, risk management, or any other quantitative related work. Previous experience in model development is desired.
  • Preferred 2 years of experience for an Analyst II and 3+ years of experience for a Senior Analyst in a commonly used programming language, such as Python, C/C++.
  • Experience with Asset/Liability and valuation software models, such as Polypaths, QRM is a plus.
  • Experience with database management concepts and tools, such as SQL is a plus.
  • Attention to detail, ability to multi-task, and high degree of initiative and independence.
  • Verbal, written, and interpersonal skills to communicate effectively with all levels of Bank personnel.
  • Must not have been convicted of any civil or criminal charge that would suggest a risk to Bank security.
  • Ability to work full-time.
  • Ability to uphold and model the Bank's Guiding Principles.

Hiring Range: Senior Analyst: $93,000 - $110,000, Analyst II: $85,000 - $100,000
Hiring ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.
FHLBank Indianapolis is an Equal Opportunity Employer.