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Quant Developer Remote Jobs in Muskego, WI (NOW HIRING)

Simulation Engineer

Wauwatosa, WI ยท On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...

Simulation Engineer

Wauwatosa, WI ยท On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...

Partner with engineering to support real-time personalization and scalable deployment Skills ... quantitative field * 3+ years of progressively complex data science experience * Extensive ...

Partner with AI Engineering teams to productionize models and integrate them into enterprise AI ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers ...

Quant Developer Remote information

What are the key skills and qualifications needed to thrive as a Quant Developer in a remote setting, and why are they important?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What are some typical challenges Quant Developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What are Quant Developers?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.

What is the difference between Quant Developer Remote vs Quant Analyst Remote?

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

Simulation Engineer

Kiongroup

Wauwatosa, WI โ€ข On-site, Remote

$65K - $140K/yr

Full-time

Posted 24 days ago


Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:
  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:
  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:
  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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