ZipRecruiter

Log In

1

Quantitative Analysis Manager Jobs in Indiana (NOW HIRING)

Deloitte

Technology Strategy Manager

Indianapolis, IN · On-site

Developing fact-based analyses, business cases, and strategic recommendations using qualitative and quantitative data * Managing day-to-day client interactions, project plans, deliverables, and team ...

Powers Health

Manager Sourcing

Munster, IN · On-site

$43.45 - $68.50/hr

The Manager of Sourcing develops sourcing strategies that align with organizational goals ... Develops qualitative/quantitative analyses to assess existing and new vendors and reporting ...

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 ...

Powers Health

Manager Sourcing

Munster, IN

The Manager of Sourcing develops sourcing strategies that align with organizational goals ... Develops qualitative/quantitative analyses to assess existing and new vendors and reporting ...

OPENLANE

Marketing Analytics Manager

Carmel, IN · On-site

$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

$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 ...

Dorman Products

Product Manager

Madison, IN · On-site

Strong Excel/quantitative analysis skills, PowerPoint presentation experience and PowerBI Analysis preferred. * Project management experience a plus. * Ability to respond to and meet critical ...

Dorman Products

Product Manager

Madison, IN

Strong Excel/quantitative analysis skills, PowerPoint presentation experience and PowerBI Analysis preferred. * Project management experience a plus. * Ability to respond to and meet critical ...

Dorman Products, Inc.

Product Manager

Madison, IN · On-site

Strong Excel/quantitative analysis skills, PowerPoint presentation experience and PowerBI Analysis preferred. * Project management experience a plus. * Ability to respond to and meet critical ...

Dorman Products

Product Manager

Madison, IN · On-site

Strong Excel/quantitative analysis skills, PowerPoint presentation experience and PowerBI Analysis preferred. * Project management experience a plus. * Ability to respond to and meet critical ...

Conveyance

Underwriter - CRE

Indianapolis, IN

Interact with commercial lenders and Risk Management officers to evaluate any potential ... Strong quantitative analysis skills, including the ability to work with multiple variables, analyze ...

previous pagenext page

Showing results 21-40

All JobsQuantitative Analysis JobsQuantitative Analysis Manager JobsQuantitative Analysis Manager Jobs in Indiana

Quantitative Analysis Manager information

See Indiana salary details

$41.9K

$101.7K

$164.6K

How much do quantitative analysis manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative analysis manager in Indiana is $101,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a quantitative analysis manager do?

A Quantitative Analysis Manager oversees teams that use mathematical models and statistical techniques to analyze financial data, assess risk, and support decision-making processes. They are responsible for developing and implementing quantitative models, ensuring data accuracy, and interpreting analytical results for senior management. Their work is crucial in areas like investment strategy, risk management, and financial planning. In addition to technical expertise, they often manage projects and collaborate across departments to align analytics with business goals.

What are the key skills and qualifications needed to thrive as a quantitative analysis manager?

To thrive as a Quantitative Analysis Manager, you need advanced quantitative and statistical skills, a strong background in mathematics, finance, or economics, and typically a relevant postgraduate degree. Expertise in data analysis tools such as Python, R, MATLAB, SQL, and experience with financial modeling software or risk management systems are essential. Strong leadership, communication, and problem-solving abilities help you effectively manage teams and present complex findings to non-technical stakeholders. These skills and qualities are crucial for driving data-driven decision-making, optimizing business strategies, and ensuring accurate risk assessment.

How does a quantitative analysis manager typically collaborate with other departments within a financial organization?

A Quantitative Analysis Manager regularly works with cross-functional teams such as risk management, trading, IT, and senior leadership. Collaboration often involves translating complex quantitative models into actionable strategies or tools for non-technical stakeholders, ensuring alignment with business goals. Effective communication and teamwork are crucial, as the manager must explain model assumptions, results, and limitations to guide decision-making across departments. These collaborative efforts foster a deeper understanding of financial risks and opportunities, ultimately supporting the organization’s growth and compliance.

What is the difference between Quantitative Analysis Manager vs Quantitative Analyst?

AspectQuantitative Analysis ManagerQuantitative Analyst
CredentialsBachelor's or Master's in Finance, Economics, or related; often requires experience in managementBachelor's or Master's in Mathematics, Statistics, Finance, or related
Work EnvironmentLeads teams, oversees projects, collaborates with senior managementPerforms data analysis, models, and reports, often independently or in small teams
Industry UsageUsed across finance, investment firms, and hedge funds in managerial rolesCommon in trading firms, banks, and asset management for analytical tasks

The main difference is that a Quantitative Analysis Manager oversees teams and strategic projects, while a Quantitative Analyst focuses on performing data analysis and developing models. The manager role involves leadership and decision-making responsibilities, whereas the analyst role emphasizes technical skills and analysis execution.

Is quantitative analysis a good career path?

Quantitative analysis is a strong career choice for those with skills in mathematics, statistics, and programming, often involving tools like Excel, R, or Python. It offers opportunities in finance, data science, and risk management, with roles typically requiring analytical thinking and attention to detail. The field is known for competitive salaries and growth potential, especially with relevant certifications and experience.

What cities in Indiana are hiring for Quantitative Analysis Manager jobs?

Cities in Indiana with the most Quantitative Analysis Manager job openings:

Quantitative Analysis Manager jobs near you
Infographic showing various Quantitative Analysis Manager job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $101,651 per year, or $48.9 per hour.

Global Incentive Compensation Analyst

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 244 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Finance
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Description
About Salesforce:
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we
empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place.
Position Description
The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.
Responsibilities:
  • Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
  • Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  • Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  • Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
  • Pay-for-Performance Framework:
    against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
  • compensation structures across various roles and performance tiers.
  • Qualifications
  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
  • Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
  • Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
  • SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
  • Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
  • Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
  • Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
  • Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
  • CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred

Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply