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Quant Developer Remote Jobs in Minnesota (NOW HIRING)

Relativity

Principal Applied Scientist

Minneapolis, MN · On-site +1

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 ...

THOMSON REUTERS

Lead UX Researcher

Eagan, MN · Remote

$170K/yr

Contextual Inquiries, Remote Usability Testing, Parallel Prototyping, Persona Development * Un ... Forms key partnerships with product, engineering, and design to unearth deeply impactful research ...

ABB

Strategic KAM - eOEM

Minneapolis, MN · Remote

... quantitative sales targets for products, systems, and/or services to ensure sustainable order ... While this is a remote position, successful candidates should be located in a major metro area in ...

Granicus

Senior Product Manager

Saint Paul, MN · Remote

$127K - $168K/yr

Senior Product Manager Location US-Remote ID 2026-9908 Category Product Position Type Full-Time ... You will work closely with other Product Managers, Product Owners, Engineers, Designers, Data ...

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All JobsQuant Developer JobsQuant Developer Remote JobsQuant Developer Remote Jobs in Minnesota

Quant Developer Remote information

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 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 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.

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 are the most commonly searched types of Quant Developer jobs in Minnesota? The most popular types of Quant Developer jobs in Minnesota are:
What are popular job titles related to Quant Developer Remote jobs in Minnesota? For Quant Developer Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Quant Developer Remote jobs in Minnesota look for? The top searched job categories for Quant Developer Remote jobs in Minnesota are:
Quant Developer Remote jobs near you
Solution Architect, Industrial Technology Pre-Sales (Remote)

Solution Architect, Industrial Technology Pre-Sales (Remote)

SymphonyAI

Minneapolis, MN • On-site, Remote

$63.25 - $83.50/hr

Full-time

Posted 19 days ago

Job description

Introduction
Job Title:
Solution Architect
Overview:
SymphonyAI Industrial is a global leader in Industrial AI, enabling manufacturers and asset-intensive enterprises to transform fragmented IT, OT, and edge data into real-time, contextual intelligence that improves uptime, throughput, and operational efficiency.
Our platform is built on Vertical AI - domain-aware models, ontologies, and knowledge graphs that understand industrial operations from day one. We are seeking a Solution Architect to join our customer applications team and play a defining role in shaping the future of our industrial AI platform.
This role is for a senior soultion architect with a deep curiosity for how systems really work - someone who enjoys reverse-engineering complex platforms, challenging assumptions, and designing forward-looking architectures while staying hands-on and closely connected to engineering teams.
Job Description
Responsibilities:
  • Collaborate with clients and our partners to understand their business needs, challenges, and objectives, proposing tailored AI solutions that deliver measurable value.
  • Recommend engineered features and AI models for specific industrial and/or supply chain applications while identifying required sensors/signals and other datasets.
  • Engage with product development, product management, software engineering, data science, and delivery teams to develop high-value AI products and solutions.
  • Provide critical inputs to the conceptual and detailed design of dashboards and front-end applications for industrial and/or supply chain use cases.
  • Support clients with domain expertise for data analysis, requirements translation, problem definition, root cause analysis, sales/engineering training and business case/ROI analysis.
  • Ensure successful customer delivery, value tracking, and demonstration of ROI for implemented AI solutions.

Required Skills & Qualifications:
  • Strong engineering domain expertise in one or more industrial verticals such as Power Generation, Oil & Gas, Metals, Mining, Chemicals, CPG, manufacturing or similar sectors.
  • Deep understanding of industrial assets (e.g., turbines, compressors, pumps, heat exchangers, motors) and their failure modes, or industrial processes (e.g., refining, smelting, chemical reactors, food processing) from a process monitoring and optimization perspective.
  • Hands-on expertise in supply chain domains, with the ability to contribute directly to the definition and build of data-driven supply chain solutions.
  • Demonstrated experience deriving actionable insights from industrial data and architecting AI-driven solutions for real-world industrial challenges.
  • Proven ability to engage with clients, understand their unique needs, and communicate technical solutions effectively to both technical and business audiences.
  • Strong collaboration skills, with experience working in cross-functional, agile teams spanning product, engineering, and data science.
  • Capability to develop technically rigorous training materials and deliver hands-on training for both engineering and sales audiences.
  • Technical mentorship experience, fostering growth and best practices within engineering teams.
  • Self-motivated, adaptable, and able to innovate quickly in a dynamic environment.

Requirements/Qualifications:
  • Bachelor's or Master's degree in a quantitative or engineering discipline.
  • 8+ years of experience in industrial data analysis and AI/ML-based solution development for industrial customers.
  • Software development experience in object oriented language.
  • Experience engaging and collaborating with US and European clients, demonstrating excellent communication and cultural adaptability.
  • Experience working across multidisciplinary teams covering product development, data science, software engineering, and delivery.
  • Excellent written and verbal communication skills.
  • Willingness to travel as required to support client success.

Preferred Skills & Qualifications:
  • Experience with Python-based data analysis tools, including Scikit-learn, NumPy, Pandas, and generative AI-based tools.
  • Skilled with data visualization libraries such as Matplotlib, Plotly, and Seaborn.

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.
About Us
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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