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Quant Analytics Jobs in Indiana (NOW HIRING)

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Quant Analytics information

What is a quant analytics professional?

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.

What are the key skills and qualifications needed to thrive as a quant analytics professional?

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.

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 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 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 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Quantitative Modeling and Research Analyst (II or Senior)

Indianapolis, IN • On-site

Federal Home Loan Bank of Indianapolis
Commercial Banking • 201 - 500 employees
Learn more about Federal Home Loan Bank of Indianapolisexternal

$93 - $110/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

FHLBank Indianapolis is a financial institution that provides liquidity and support to banks, credit unions, community development financial institutions and insurers in Indiana and Michigan, with a focus on affordable housing and community development.

About the Role

The Senior Quantitative Modeling/Research Analyst is responsible for developing, maintaining, and operating financial models across the organization within the Modeling & Analytics Group of the Enterprise Risk Management department.

Responsibilities
  • Implement, test, and operate a diverse range of models for loan valuation, pledged collateral hair‑cut, probability of default, and loss estimation.
  • Utilize statistical and computational techniques to evaluate, calibrate, and tune credit and market risk models.
  • Establish and maintain model documentation covering theory, settings, assumptions, change control, performance monitoring, and user guides in coordination with Model Risk Management and regulatory advisory bulletins.
  • Explain model details, theory, assumptions, and settings to model users and other stakeholders across the organization.
  • Support model validation requests and address findings or recommendations.
  • Interact directly with model validators and regulators regarding model settings, assumptions, and implementation.
  • Lead the process to develop required model enhancements.
  • Stay current on methodologies, 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 in Mathematics, Quantitative Analysis, Statistics, Operations Research, Financial Engineering, or a related quantitative field (Master or PhD preferred).
  • CFA or/and FRM certifications are a plus.
  • Preferred 3+ years of experience in quantitative research, risk management, or related work.
  • Model development experience strongly preferred.
  • Experience in commonly used programming languages such as Python or C/C++.
  • Experience with Asset/Liability and valuation software models (e.g., 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 a 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 and uphold the bank’s Guiding Principles.
Hiring Range

$93,000 - $110,000 (base salary; not inclusive of incentive awards, retirement benefits, or ancillary benefits).

Benefits
  • Hybrid workforce model: onsite three days a week, two days remote, with remote flex days available.
  • Competitive pay and total rewards.
  • Industry‑high 401(k) match: up to 6% plus an additional 4% contribution.
  • Tuition reimbursement assistance.
  • Student loan repayment assistance.
  • Medical, dental, vision, and pet insurance.
  • Generous time off: vacation, paid federal holidays, birthday month floating holiday, volunteer day, and summer hour program.
  • “Dress for your day” dress code: choose the appropriate work attire based on your schedule.
Equal Opportunity Employment

FHLBank Indianapolis is an Equal Opportunity Employer. The bank is committed to recruiting, hiring, developing, and retaining a diverse workforce by providing an environment that enables success for all employees.

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