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Algorithmic Trading Developer Jobs in Michigan (NOW HIRING)

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

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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-time

Posted 17 days ago


Job description

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.
About the role
  • Analyze, manipulate and process large sets of data
  • Develop predictive/machine learning models from large sets of structured and unstructured data
  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
  • Apply feature selection algorithms to models predicting outcomes of interest
  • Apply sampling techniques to determine groups to be surveyed
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance
  • Create graphs, charts or other visualizations to convey the results of data analysis
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders
  • Identify business problems or leader objectives that can be addressed through data analysis
  • Identify relationships and trends or any factors that could affect the results of research
  • Identify and propose solutions to business problems using the results of data analysis
  • Test, validate and reformulate models to ensure accurate prediction of outcomes of interest
  • Write new functions or applications to conduct analyses
  • Partner with machine learning engineers on the deployment of applicable models for business projects
  • Communicate analyses, conclusions and solutions clearly to all audiences
  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager
  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models
  • Develop and evangelize best practices for statistical or behavioral models
  • Drive the collection of new data and the refinement of existing data sources
  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses
  • Mentor and train associate data scientists

About you
  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP
  • 3 years of experience with statistical and data mining tools and methods
  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)
  • 3 years of experience working with SQL
  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)
  • 3 years of experience with statistical packages
  • 3 years of experience providing predictive and prescriptive analytics in a business setting
  • Master's degree in mathematics, statistics, computer science or a related field or equivalent experience
  • Advanced understanding of data visualization libraries
  • Advanced understanding of statistical methodologies for modeling and business analytics

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.