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Quant Analytics Jobs in Indiana (NOW HIRING)

Ra

Marketing Analytics Manager

Indianapolis, IN · On-site

You will be using quantitative methods to assess the impact of offline and digital marketing. You will be interacting with the client. You will be providing analyses, recommendations, presentations ...

Deckers

Strong quantitative analytical skills with the ability to identify trends, risks, and opportunities. * High proficiency in BI and visualization tools (e.g., Tableau, Power BI) and expert-level ...

OPENLANE

Marketing Analytics Manager

Carmel, IN

$100K - $120K/yr

We are seeking a Marketing Analytics Manager to unify the fragmented view of marketing performance ... Bachelor's degree in Marketing, Statistics, Data Science, Economics, or a related quantitative ...

OPENLANE

Marketing Analytics Manager

Carmel, IN

$100K - $120K/yr

We are seeking a Marketing Analytics Manager to unify the fragmented view of marketing performance ... Bachelor's degree in Marketing, Statistics, Data Science, Economics, or a related quantitative ...

OPENLANE

Marketing Analytics Manager

Carmel, IN · On-site +1

$100K - $120K/yr

We are seeking a Marketing Analytics Manager to unify the fragmented view of marketing performance ... Bachelor's degree in Marketing, Statistics, Data Science, Economics, or a related quantitative ...

Apex Water + Process Inc.

Lab Analyst

Westfield, IN · On-site

$21 - $24/hr

Strong qualitative and quantitative analysis skills, with a solid understanding of laboratory techniques and equipment * Ability to handle multiple tasks while maintaining accuracy and high standards

Apex Water and Process

Lab Analyst

Westfield, IN · On-site

$21 - $24/hr

Strong qualitative and quantitative analysis skills, with a solid understanding of laboratory techniques and equipment * Ability to handle multiple tasks while maintaining accuracy and high standards

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Quant Analytics information

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Quant Analytics professional, and why are they important?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in financial firms or hedge funds, making it a lucrative career path for those with advanced quantitative expertise.

What is quant analytics salary?

The salary for a quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at top financial firms can earn over $200,000, often supplemented with bonuses and performance incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and programming skills to analyze financial data, identify trends, and support decision-making. Professionals in this field often work with tools like Python, R, or SQL and require strong analytical and problem-solving abilities. The role is common in finance, investment firms, and risk management environments.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What are popular job titles related to Quant Analytics jobs in Indiana? For Quant Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Indiana look for? The top searched job categories for Quant Analytics jobs in Indiana are:
What cities in Indiana are hiring for Quant Analytics jobs? Cities in Indiana with the most Quant Analytics job openings:
Quant Analytics jobs near you
Infographic showing various Quant Analytics job openings in Indiana as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
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 25 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.

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