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Quant Engineer Jobs in Detroit, MI (NOW HIRING)

Senior Software Engineer

Allen Park, MI ยท On-site

$111K - $147K/yr

  • Medical

  • Dental

  • Life

  • PTO

Master's degree in Computer Science, Computer Engineering, or a related quantitative field. * Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into ...

Lean Industrial Engineer

Sterling Heights, MI ยท On-site

$65K - $88K/yr

Quantitative analysis of manpower, equipment, downtime, material use, OEE (Overall Equipment ... Bachelor's degree in Industrial Engineering * At least three to five years Industrial Engineering ...

Cost Engineer -Stamping & welding Location: Auburn Hills, Michigan USA Experience requirement ... Strong Analytical and quantitative skills with ability to draw decisions using data and metrics

Cost Engineer -Engine & Propulsion system Location: Auburn Hills, MI JD: Essential Technical skills ... Excellent communication skills, both verbal and written Strong Analytical and quantitative skills ...

The Project Engineer will be responsible for the following: * Perform labor control on assigned ... Quantitative takeoffs to verify estimates, order materials, and price change orders. * Create and ...

The Project Engineer will be responsible for the following: * Perform labor control on assigned ... Quantitative takeoffs to verify estimates, order materials, and price change orders. * Create and ...

Senior Software Engineer

Allen Park, MI ยท On-site +1

$113K - $192K/yr

  • Medical

  • Dental

  • Life

  • PTO

Master's degree in Computer Science, Computer Engineering, or a related quantitative field. * Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into ...

Forward Deployed Engineer

Southfield, MI ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field * 3+ years of experience in data science, AI/ML, or advanced analytics * Strong ...

... quantitative trading firm with deep partnerships to asset management firms globally. Over the past ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

... quantitative trading firm with deep partnerships to asset management firms globally. Over the past ... We are looking for a part-time Software Engineer who will assist us with the design, development ...

Engineer, Quality

Macomb, MI

$69K - $90K/yr

  • Medical

  • Life

  • Retirement

Job Summary We are currently seeking a Program Quality Engineer for our facility in Macomb, MI ... Strong technical, quantitative, analytical and data management skills. * Effective presentation and ...

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Quant Engineer information

See Detroit, MI salary details

$37.6K

$89.6K

$149K

How much do quant engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quant engineer in Detroit, MI is $89,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $99,000.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

What are popular job titles related to Quant Engineer jobs in Detroit, MI?

For Quant Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What cities near Detroit, MI are hiring for Quant Engineer jobs?

Cities near Detroit, MI with the most Quant Engineer job openings:

Sr Director, Developer Experience and Platform Engineering

Socket.dev

Dearborn, MI โ€ข On-site

$180 - $260/hr

Other

Medical, Dental, Vision, Life, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

In this position...

This role requires a leader who brings deep handsโ€‘on engineering experience, having personally designed, built, and operated complex systems earlier in their career, and who now applies that experience to platform strategy, architectural decisionโ€‘making, and technical leadership at enterprise scale. The Senior Director, Developer Experience and Platform Engineering brings technical credibility, architectural judgment, and engineering leadership to ensure Developer Experience is a firstโ€‘class engineering discipline embedded across the software lifecycle. The role emphasizes handsโ€‘on engineering experience, platform ownership, and technical decisionโ€‘making, while also requiring strong leadership, collaboration, and strategic alignment across the organization.

What Youโ€™ll Do... Engineering, Platform & Code Ownership
  • Own the technical vision, architecture, and roadmap for Developer Experience platforms, including:
    • Developer portals and internal platform products
    • CI/CD pipelines and code delivery systems
    • Containerโ€‘based developer and runtime environments, including orchestration and lifecycle management
    • API platforms, service templates, and established โ€œgolden pathsโ€
    • Observability, reliability, and operational tooling
  • Lead DevX platforms as products, with:
    • Clear ownership and accountability
    • Roadmaps informed by real developer needs
    • Defined reliability, security, and service expectations
  • Act as a handsโ€‘on technical leader:
    • Review architecture, designs, and system patterns
    • Apply practical engineering judgment to platform and tooling decisions
    • Make informed tradeโ€‘offs across scalability, security, reliability, and usability
Programming Languages, Core Repositories & Code Delivery
  • Provide deep technical leadership across polyglot engineering environments, spanning modern backend, frontend, mobile, data, and distributed systems technologies
  • Apply strong understanding of multiple programming paradigms (objectโ€‘oriented, functional, reactive, eventโ€‘driven) to ensure DevX initiatives align with how engineers actually write and maintain code
  • Be accountable for core repository strategy and health, including:
    • Code organization and modularization
    • Dependency, version, and release management
    • Shared libraries, frameworks, and reuse patterns
    • Secure, compliant contribution and governance models
  • Influence and standardize code delivery practices across the organization, enabling:
    • Consistent, automated, and highโ€‘quality build and release workflows
    • Predictable delivery across both legacy and modern codebases
    • Clear ownership and lifecycle management of shared repositories
Strategy Grounded in Engineering Reality
  • Define and own a multiโ€‘year Developer Experience strategy aligned with:
    • Automotive and industrial software delivery constraints
    • Safety, security, and regulatory requirements
    • Operating at scale across global regions, time zones, and organizational boundaries
    • A broad and evolving technology landscape, spanning legacy systems through modern and emerging (โ€œbleedingโ€‘edgeโ€) platforms
  • Translate strategy into concrete engineering roadmaps that can be executed incrementally and sustainably
  • Ensure DevX initiatives reflect real developer workflows, operational constraints, and production realities
  • Balance standardization and autonomy through wellโ€‘designed paved paths that support consistency while enabling innovation
Metrics, Measurement & Continuous Improvement
  • Define, own, and continuously evolve Developer Experience KPIs that measure productivity, reliability, code quality, delivery performance, and developer sentiment
  • Establish a DevX measurement framework that combines:
    • Quantitative engineering metrics (e.g., lead time, deployment frequency, change failure rate, recovery time)
    • Platform usage, adoption, and reliability signals
    • Regular developer surveys and qualitative feedback mechanisms to identify friction and unmet needs
  • Use DevX KPIs and survey insights to:
    • Inform platform, tooling, and investment decisions
    • Identify systemic bottlenecks across the software lifecycle
    • Measure the effectiveness and impact of DevX initiatives over time
  • Ensure metrics are used for continuous improvement, not individual performance management
  • Provide clear executiveโ€‘level visibility into Developer Experience health and trends
AI-Enabled Engineering & Code Quality
  • Lead the responsible application of AI across the software development lifecycle, integrating AIโ€‘assisted capabilities such as:
    • Code authoring, refactoring, and modernization assistance
    • Automated code review and static analysis augmentation
    • Test generation, defect detection, and coverage improvement
    • Developer feedback and productivity tooling
  • Ensure AIโ€‘enabled solutions:
    • Improve code quality, maintainability, and developer experience
    • Are integrated into existing developer workflows and CI/CD pipelines
    • Meet enterprise standards for security, compliance, intellectual property protection, and ethical use
Crossโ€‘Functional Technical & Delivery Leadership
  • Partner closely with:
    • Product, Platform, and PDOs to align DevX platforms and tooling with delivery priorities, roadmaps, and outcomes
    • Cloud Infrastructure and Platform Engineering
    • Site Reliability Engineering (SRE)
    • Cybersecurity and Compliance teams
    • Enterprise Architecture and Product Engineering
  • Work with PDOs to ensure Developer Experience investments:
    • Support predictable delivery and execution at scale
    • Reduce friction across planning, build, test, and release phases
    • Serve as a technical peer and trusted advisor to senior engineering, delivery, and infrastructure leaders
    • Influence architecture, tooling, and delivery direction through technical credibility and delivery experience
    Operational Excellence & Reliability Integration
    • Embed Developer Experience into:
      • Incident management and postmortems
      • Reliability and SRE practices
      • Secure software supply chain initiatives
      • Change and release management
    • Ensure DevX platforms and tooling are:
      • Secure and resilient by default
      • Observable and operated with production rigor
      • Drive a culture of automation, selfโ€‘service, and continuous engineering improvement
    • How success is achieved:
      • Applying prior handsโ€‘on engineering experience to guide platform strategy and architectural decisions
      • Maintaining strong technical fluency across languages, tooling, and system design
      • Building developer platforms and workflows engineers trust and adopt
      • Using data, KPIs, and developer feedback to guide continuous improvement
      • Partnering effectively across engineering, PDOs, cloud, reliability, and security organizations
    Youโ€™ll have... Engineering & Technical Expertise
    • 15+ years of experience in software engineering, including:
      • Significant handsโ€‘on development, system design, and production operations experience
      • Direct involvement in building and operating complex, distributed systems
      • Demonstrated ability to apply prior engineering experience to platform architecture, code delivery, and technical strategy
    • Deep expertise in:
      • Google Cloud Platform (GCP), including production operations at scale
      • Containerโ€‘based platforms and orchestration technologies
      • CI/CD systems, developer tooling, and code delivery pipelines
      • Polyglot software architectures and modern application frameworks
      • Observability, reliability, and SRE practices
    • Strong working knowledge of:
      • Microsoft Azure and Amazon Web Services (AWS)
      • Multiโ€‘cloud and hybrid architecture tradeโ€‘offs
    • Solid understanding of:
      • Secure software supply chains
      • Compliance and regulatory requirements common in automotive environments
    Leadership Profile
    • An engineeringโ€‘first leader who has grown from handsโ€‘on engineer to senior technical leader
    • Leads through technical depth, architectural judgment, and delivery experience
    • Comfortable operating at:
      • Executiveโ€‘level strategy discussions
      • Deep technical and architectural detail
      • Experienced in leading platform or infrastructure engineering organizations building real, production systems

    As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderโ€ฆor all of the above? No matter what you choose, we offer a work life that works for you, including:

    • Immediate medical, dental, vision and prescription drug coverage
    • Flexible family care days, paid parental leave, new parent rampโ€‘up programs, subsidized backโ€‘up childcare and more
    • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
    • Vehicle discount program for employees and family members and management leases
    • Tuition assistance
    • Established and active employee resource groups
    • Paid time off for individual and team community service
    • A generous schedule of paid holidays, including the week between Christmas and New Yearโ€™s Day
    • Paid time off and the option to purchase additional vacation time.

    This position is a leadership level 4.
    Visa sponsorship is not available for this position.
    Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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