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Remote Quantitative Analyst Jobs in Rochester, MI

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Detroit, MI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Biostatistician

Warren, MI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

Plan, conduct and moderate user research for clients, both qualitative and quantitative, and ... remote user testing, survey research, usability testing, task analysis, and heuristic reviews.

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Remote Quantitative Analyst information

See Rochester, MI salary details

$52K

$123.2K

$220.9K

How much do remote quantitative analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote quantitative analyst in Rochester, MI is $123,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $133,900.00 per year, depending on experience, location, and employer.

What challenges do remote quantitative analysts face and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What skills and qualifications are needed to be a remote quantitative analyst?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What is a remote quantitative analyst?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What are popular job titles related to Remote Quantitative Analyst jobs in Rochester, MI?

For Remote Quantitative Analyst jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Analyst jobs in Rochester, MI look for?

The top searched job categories for Remote Quantitative Analyst jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Remote Quantitative Analyst jobs?

Cities near Rochester, MI with the most Remote Quantitative Analyst job openings:

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site, Remote

Full-time

Re-posted 22 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 role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise. 

AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption. 

Key Responsibilities:

  • Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights 
  • Work with stakeholders to propose, identify, and develop analytics requirements 
  • Build visualization or perform further analysis based on requirements identified 
  • Know business data and provide recommendations for improving knowledge and data quality 
  • Support audit teams in deepening their knowledge and utilization of data and AI within testing 
  • Stay up-to-date with the latest advancements in AI and data analytics technologies
  • Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
  • Conduct process mapping and problem analysis to define requirements and value hypotheses
  • Translate business needs into clear user stories, requirements, and acceptance criteria
  • Partner with stakeholders to ensure feasibility and solution integration
  • Develop deployment playbooks, documentation, and training assets
  • Create reusable templates, prompt libraries, workflows, or automation components
  • Define KPIs and measure performance, productivity, and financial outcomes
  • Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks

Basic Qualifications: 

  • Bachelor’s Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field 
  • A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role 
  • Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools 
  • Familiarity with programming languages such as Python, R, SQL, NoSQL 
  • Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry 
  • Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version) 
  • AI literacy: understanding capabilities, limitations, risks, and responsible use 
  • Flexible and adaptable to changing business environments and job responsibilities 
  • Excellent written and verbal communication skills in English 
  • Quantitative, analytical, and detail-oriented. Problem-solving skills 
  • Strong project management skills; effective & efficient completing numerous tasks simultaneously 

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