1

Algorithmic Trading Developer Jobs in Michigan (NOW HIRING)

Inspire and influence teammates and product teams through well-structured arguments and trade-offs ... algorithms, code instrumentations, beautiful coding practices, etc. • Prior experience with ...

Perform risk assessments and trade off analysis for system impact, program milestones, and change ... Understanding of control algorithms and software development * Understanding of vehicle dynamics ...

... algorithms and software implemented on real-time hardware. Relevant sensor types include electro ... trade studies * Experience maturing prototype designs (TRL 4-6) to operational systems (TRL 7-9) * ...

Sr Research Engineer-RF

Ann Arbor, MI · On-site

$130.76K - $194.51K/yr

... algorithms and software implemented on real-time hardware. Relevant sensor types include electro ... trade studies * Experience maturing prototype designs (TRL 4-6) to operational systems (TRL 7-9) * ...

... algorithms and software implemented on real-time hardware. Relevant sensor types include electro ... trade studies * Experience maturing prototype designs (TRL 4-6) to operational systems (TRL 7-9) * ...

... engineering and predictive modeling to provide actionable insights and strategic direction for ... Apply feature selection algorithms to models predicting outcomes of interest * Apply sampling ...

next page

Showing results 1-20

Algorithmic Trading Developer information

See Michigan salary details

$13

$52

$65

How much do algorithmic trading developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for algorithmic trading developer in Michigan is $52.31, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What is the difference between Algorithmic Trading Developer vs Quantitative Analyst?

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What are popular job titles related to Algorithmic Trading Developer jobs in Michigan? For Algorithmic Trading Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Developer jobs in Michigan look for? The top searched job categories for Algorithmic Trading Developer jobs in Michigan are:
Full Stack Engineer

Full Stack Engineer

Deloitte

Grand Rapids, MI • On-site

Full-time

Posted 20 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Full Stack Engineer to engage in high-visibility projects. The role involves delivering engineering solutions that drive customer value, collaborating with cross-functional teams, and maintaining high standards in code quality and technical specifications.
Responsibilities:
• Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
Qualifications:
Required:
• A bachelor's degree in computer science, software engineering, or a related discipline.
• 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.
• 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
• Limited immigration sponsorship may be available
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• An advanced degree (e.g., MS) is preferred but not required.
• Prior experience with real estate, meeting and events, hospitality, etc. platforms and applications
• Prior experience with software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices, etc.
• Prior experience with methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• Prior experience in AI/ML and GenAI.
• Prior experience handling diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom