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Senior Quantitative Developer Jobs in Michigan (NOW HIRING)

Senior Controls Engineer

Whitehall, MI ยท On-site

$92K - $121K/yr

As a Senior Controls Engineer you will design, program, install and maintain industrial control ... on quantitative feedback; knows and explains the "why" behind actions * Prioritized reaction ...

Senior Controls Engineer

Whitehall, MI

$92K - $121K/yr

As a Senior Controls Engineer you will design, program, install and maintain industrial control ... on quantitative feedback; knows and explains the "why" behind actions * Prioritized reaction ...

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

Senior Software Engineer

Allen Park, MI ยท On-site

$111K - $147K/yr

Modern Operations & DevOps: Build robust CI/CD deployment pipelines on GCP, integrate automated ... Master's degree in Computer Science, Computer Engineering, or a related quantitative field.

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Showing results 1-20

Senior Quantitative Developer information

See Michigan salary details

$123.4K

$151.8K

$171.7K

How much do senior quantitative developer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior quantitative developer in Michigan is $151,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,507.00 and $163,340.00 per year, depending on experience, location, and employer.

What is a senior quantitative developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

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

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.

How does a senior quantitative developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

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 Senior Quantitative Developer jobs in Michigan?

For Senior Quantitative Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Developer jobs in Michigan look for?

The top searched job categories for Senior Quantitative Developer jobs in Michigan are:

What cities in Michigan are hiring for Senior Quantitative Developer jobs?

Cities in Michigan with the most Senior Quantitative Developer job openings:

Infographic showing various Senior Quantitative Developer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $151,805 per year, or $73 per hour.

DataOps Senior Specialist

Dearborn, MI โ€ข On-site

Saanvi Technologies
51 - 200 employees

Contractor

Re-posted 2 days ago


Job description

Title: DataOps Senior Specialist

Location: Dearborn, MI (Hybrid)

Job Type: Long Term Contract

Position Description:

We are seeking a highly skilled and experienced Senior DataOps Engineer to join our EPEO DataOps team. This role will be pivotal in designing, building, and maintaining robust, scalable, and secure telemetry data pipelines on Google Cloud Platform (GCP). The ideal candidate will have a strong background in DataOps principles, deep expertise in GCP data services, and a solid understanding of IT operations, especially within the security and network domains. You will enable real-time visibility and actionable insights for our security and network operations centers, contributing directly to our operational excellence and threat detection capabilities.

Key Responsibilities:

  • Design & Development: Lead the design, development, and implementation of high-performance, fault-tolerant telemetry data pipelines for ingesting, processing, and transforming large volumes of IT operational data (logs, metrics, traces) from diverse sources, with a focus on security and network telemetry.
  • GCP Ecosystem Management: Architect and manage data solutions using a comprehensive suite of GCP services, ensuring optimal performance, cost-efficiency, and scalability. This includes leveraging services like Cloud Pub/Sub for messaging, Dataflow for real-time and batch processing, BigQuery for analytics, Cloud Logging for log management, and Cloud Monitoring for observability.
  • DataOps Implementation: Drive the adoption and implementation of DataOps best practices, including automation, CI/CD for data pipelines, version control (e.g., Git), automated testing, data quality checks, and robust monitoring and alerting.
  • Security & Network Focus: Develop specialized pipelines for critical security and network data sources such as VPC Flow Logs, firewall logs, intrusion detection system (IDS) logs, endpoint detection and response (EDR) data, and Security Information and Event Management (SIEM) data (e.g., Google Security Operations / Chronicle).
  • Data Governance & Security: Implement and enforce data governance, compliance, and security measures, including data encryption (at rest and in transit), access controls (RBAC), data masking, and audit logging to protect sensitive operational data.
  • Performance Optimization: Continuously monitor, optimize, and troubleshoot data pipelines for performance, reliability, and cost-effectiveness, identifying and resolving bottlenecks.
  • Collaboration & Mentorship: Collaborate closely with IT operations, security analysts, network engineers, and other data stakeholders to understand data requirements and deliver solutions that meet business needs. Mentor junior engineers and contribute to the team's technical growth.
  • Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and operational procedures.

Skills Required:

  • Data Analysis, Cloud Infrastructure, Data Governance, Data Modeling, Network Security, Data Warehousing, Data Acquisition, Python, Data Conversion

Skills Preferred:

  • Technical Communication, Troubleshooting (Problem Solving), Technologies, Critical Thinking, Performance Tuning, Cross-functional

Experience Required:

  • Senior Specialist Exp: 7+ experience in relevant field.

Experience Preferred:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
  • Typically, 8+ years of experience in data engineering, with at least 4 years in a Senior or Lead role focused on DataOps or cloud-native data platforms.

Education Required:

  • Master's Degree, Bachelor's Degree

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About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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