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Junior Quantitative Developer Jobs in Michigan (NOW HIRING)

... of junior and mid-level analysts Our employee-owners pride themselves on their ability to apply ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

... of junior and mid-level analysts Our employee-owners pride themselves on their ability to apply ... Minimum Qualifications * Bachelor's degree in a quantitative discipline (e.g., engineering ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated ... Performing assessments using quantitative and qualitative techniques, including AI-enabled ...

Data and rigor --invites multiple inputs, both qualitative and quantitative; makes adjustments from ... Talent advocate --creates ways to involve junior associates; collaborates cross-functionally to ...

Staff Biostatistician

Portage, MI · On-site

$124K - $207K/yr

Mentor junior statisticians and support the development of statistical standards, procedures, and ... Master's degree in Statistics, Biostatistics, or a related quantitative field with medical research ...

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Mentor junior statisticians and support the development of statistical standards, procedures, and ... Master's degree in Statistics, Biostatistics, or a related quantitative field with medical research ...

Showing results 21-38

Junior Quantitative Developer information

See Michigan salary details

$20.9K

$77.6K

$119.8K

How much do junior quantitative developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for junior quantitative developer in Michigan is $77,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $75,800.00 per year, depending on experience, location, and employer.

What is a junior quantitative developer?

A Junior Quantitative Developer is responsible for developing, implementing, and maintaining quantitative models and tools used in trading, risk management, or financial analysis. They work closely with quantitative analysts and traders to optimize algorithms, improve performance, and ensure data accuracy. This role typically requires strong programming skills in languages like Python, C++, or Java, along with a solid understanding of mathematics, statistics, and financial markets. Junior Quantitative Developers often contribute to backtesting trading strategies, optimizing execution algorithms, and improving financial models. The position serves as a foundational step for a career in quantitative finance, providing hands-on experience in both development and financial modeling.

What are the typical daily responsibilities of a junior quantitative developer?

As a Junior Quantitative Developer, your daily tasks often include writing and optimizing code to implement quantitative models, analyzing large datasets, and performing model validation or back-testing. You’ll also collaborate closely with senior quants, traders, and software engineers to refine strategies or troubleshoot issues as they arise. Additionally, you may maintain documentation, participate in code reviews, and stay updated with the latest development practices and financial concepts. This role offers a dynamic experience that builds both your technical programming skills and your understanding of financial markets.

What are the key skills and qualifications needed to thrive as a junior quantitative developer?

To thrive as a Junior Quantitative Developer, you need a solid background in mathematics, statistics, and programming—often supported by a relevant degree in fields like computer science, engineering, or quantitative finance. Familiarity with programming languages such as Python, C++, or R, as well as experience using version control systems and exposure to financial data platforms, is highly valuable. Attention to detail, strong analytical thinking, and effective collaboration skills help you excel in dynamic, team-based environments. These capabilities are essential for developing and maintaining quantitative models that support data-driven decision-making in finance or related sectors.

What are the most commonly searched types of Quantitative Developer jobs in Michigan? The most popular types of Quantitative Developer jobs in Michigan are:
What are popular job titles related to Junior Quantitative Developer jobs in Michigan? For Junior Quantitative Developer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Junior Quantitative Developer jobs? Cities in Michigan with the most Junior Quantitative Developer job openings:
Infographic showing various Junior Quantitative Developer job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, 5% Part Time, 1% Temporary, and 15% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $77,551 per year, or $37.3 per hour.

Automotive Warranty Claim Data Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

The Automotive Warranty Claim Data Lead is a critical role responsible for driving data informed decisions across the organization by leading the collection, analysis, and reporting of automotive warranty claim data. This position will lead efforts to identify emerging quality issues, forecast warranty costs, and provide actionable insights to Engineering, Quality, Service, and Finance teams to improve product reliability and minimize warranty expenditure. The Data Lead will also be responsible for the integrity and strategic use of the core warranty database.


Key Responsibilities:

Data Strategy & Analytics Leadership:

  • Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost trends.
  • Spearhead deep-dive analysis on complex warranty datasets to uncover root causes of product failures, identify anomalies, and detect potential over repair
  • Develop and manage the overall data governance strategy for the warranty claims database, Palantir/MAP, to ensure data accuracy, consistency, and reliability across
    all reporting and analytical platforms.
  • Design, build, and maintain intuitive data dashboards and Key Performance Indicators (KPIs) to monitor group warranty goals, claim trends/broken clean points, and product reliability for all relevant stakeholders.

Reporting & Cross-Functional Collaboration:

  • Prepare and present regular, comprehensive reports on warranty performance, cost drivers, and key findings to senior management, including executive-level summaries.
  • Collaborate cross-functionally with Quality, Engineering, Manufacturing, and Service teams to translate data insights into concrete product or process improvements.
  • Provide actionable intelligence to the Technical Service team, enabling faster resolution of recurring and high-cost failure modes in the field.
  • Support the Finance and Accounting departments with accurate warranty cost accruals, budget forecasting, and financial reporting based on data-driven projections.

Process & System Improvement:

  • Identify opportunities to leverage advanced technologies, such as Machine Learning or AI, to enhance data mining, claims validation, and root cause analysis processes.
  • Act as the subject matter expert and system administrator for key warranty and data platforms (e.g., Global Warranty Management System, BI tools, data warehouses).
  • Champion continuous process improvement within the warranty data workflow, seeking to automate data pipelines and streamline reporting to improve efficiency.
  • Ensure all data handling and reporting complies with company policies, legal requirements, and industry standards.

Required Qualifications:

  • Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or a related quantitative technical field.
  • 5+ years of experience in data analysis, business intelligence, or data science.
  • 3+  years of experience specifically within the automotive, manufacturing, or heavy-equipment industry, with a focus on warranty data, reliability engineering, or technical services.
  • Proven experience in a leadership or lead-analyst role, mentoring junior team members or managing complex analytical projects.

Preferred Qualifications:

  • Master's degree.
  • Proficiency in SQL for complex data querying, manipulation, and analysis of large datasets.
  • Programming skills in a statistical or data science language, such as Python or R.
  • Proficiency with Business Intelligence and data visualization tools (e.g., Tableau, Power BI, QlikSense) to create insightful reports and dashboards.
  • Familiarity with warranty management systems (e.g., Global Warranty Management) and enterprise data environments (e.g., data lakes, cloud platforms like AWS, Azure,
    or GCP).
  • Solid understanding of statistical methodologies for time-to-failure analysis (e.g.,Weibull), forecasting, and hypothesis testing.
  • Knowledge of quality improvement methodologies (e.g., Six Sigma, FMEA).
  • Experience with machine learning frameworks and modeling for predictive maintenance or failure prediction.
  • Prior experience working directly with automotive dealer management systems (DMS) data.
  • Analytical and Problem-Solving Skills: Exceptional ability to interpret complex technical and financial data, distill key findings, and propose practical solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to clearly articulate complex technical analysis to both technical and non-technical
    audiences, including executive leadership.
  • Leadership and Influence: Demonstrated ability to lead projects, drive change across cross-functional teams, and influence key stakeholders without direct reporting authority.
  • Attention to Detail: Rigorous attention to detail to ensure the accuracy and integrity of all data and analytical reports.

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.


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