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Quantitative Analytics Jobs in Indiana (NOW HIRING)

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

Manager - Sales Analytics Travel: Occasional, as needed About the Role: This individual will apply ... quantitative analysis to enable data-driven decision making, and effectively using current and ...

Lead end-to-end quantitative survey research--from design and questionnaire development to programming, fielding, analysis, and storytelling of results * Evaluate and synthesize secondary research ...

Supports projects through qualitative and quantitative analysis; projects may be within a business unit, across multiple business units, involve an acquisition / separation / restructure of a ...

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Quantitative Analytics information

See Indiana salary details

$53.8K

$127.4K

$228.4K

How much do quantitative analytics jobs pay per year?

As of May 29, 2026, the average yearly pay for quantitative analytics 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.

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

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What are some common challenges faced by professionals in Quantitative Analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

What cities in Indiana are hiring for Quantitative Analytics jobs? Cities in Indiana with the most Quantitative Analytics job openings:
Infographic showing various Quantitative Analytics job openings in Indiana as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $127,393 per year, or $61.2 per hour.

Model Validation Lead

Guidehouse

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

What You Will Do

As a Model Validation Lead, you will provide technical and programmatic leadership for the independent validation, governance, and risk management of advanced analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting missioncritical use cases across defense and federal financial domains, ensuring models are sound, explainable, compliant, and operationally fit for purpose.

You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and government counterparts to define validation standards, execute reviews, and ensure alignment with federal, DoD, and financial governance expectations.

Key responsibilities include:

  • Lead endtoend model validation activities for ML, AI, and advanced analytical models

  • Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability

  • Review and challenge model assumptions, feature engineering, training approaches, and performance metrics

  • Assess model robustness, sensitivity, and limitations across operational scenarios

  • Evaluate model explainability, transparency, and interpretability for technical and nontechnical stakeholders

  • Partner with MLOps and engineering teams to ensure models are productionready and compliant with governance requirements

  • Establish validation documentation standards, review artifacts, and approval processes

  • Support audits, reviews, and governance forums related to AI/ML risk and compliance

  • Advise clients on model risk management, AI governance, and responsible AI practices

  • Mentor junior staff and serve as a technical authority within analytics and AI engagements

What You Will Need
  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field

  • FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

  • Experience validating ML, statistical, and predictive models in regulated or highrisk environments

  • Experience in Python and analytics tooling used to assess, test, and challenge models

  • Experience working with largescale datasets and complex analytical pipelines

  • Experience leading small teams or workstreams and interfacing directly with senior stakeholders

What Would Be Great to Have
  • Strong understanding of model risk management concepts, including governance, documentation, and independent review

  • Experience supporting the Department of Defense, including exposure to Advana or enterprise analytics platforms

  • Handson experience validating models using federal financial, budgetary, accounting, or audit data

  • Experience validating models deployed on Databricks (e.g., Spark, MLflow)

  • Ability to translate technical findings into clear, defensible conclusions for government and executive audiences

  • Exposure to models developed or operationalized in Palantir Foundry

  • Familiarity with MLOps practices and how validation integrates into CI/CD pipelines

  • Experience in Azure Government, AWS GovCloud, or other regulated cloud environments

  • Knowledge of Responsible AI, fairness, bias detection, and explainability techniques

  • Experience supporting internal or external audits of AI/ML systems

  • Master's degree or PhD in a quantitative or technical discipline


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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