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Quant Developer Remote Jobs in Colorado (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Colorado Springs, CO · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246414 Location: Colorado Springs,CO,US Share job via: Share Data ... Master's degree in a quantitative or systems-focused STEM field Clearance: Applicants selected will ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... for quantitative computer-aided diagnosis. In this role, you'll be a key contributor to the ...

Xcel Energy

CIP DSM Load Management Consultant

Denver, CO · On-site +1

$97K - $138K/yr

Work with the Quantitative Risk team to provide accurate/reliable information for DSM program M&V ... Degree in Engineering, Management Information Systems or Communications. * Minimum of 10 years of ...

Amrize

Market Manager, Cement

Colorado Springs, CO · Remote

This is a remote position based from a personal home office, candidate must live within the Front ... Business, Engineering, Marketing or equivalent degree Required Work Experience: 3-5 years in the ...

Amrize

Market Manager, Cement

Pueblo, CO · Remote

This is a remote position based from a personal home office, candidate must live within the Front ... Business, Engineering, Marketing or equivalent degree Required Work Experience: 3-5 years in the ...

Amrize

Market Manager, Cement

Castle Rock, CO · Remote

This is a remote position based from a personal home office, candidate must live within the Front ... Business, Engineering, Marketing or equivalent degree Required Work Experience: 3-5 years in the ...

Amrize

Market Manager, Cement

Fort Collins, CO · Remote

This is a remote position based from a personal home office, candidate must live within the Front ... Business, Engineering, Marketing or equivalent degree Required Work Experience: 3-5 years in the ...

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Quant Developer Remote information

What is a quant developer?

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 skills and qualifications are needed to thrive as a quant developer in a remote setting?

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 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 the most commonly searched types of Quant Developer jobs in Colorado?

The most popular types of Quant Developer jobs in Colorado are:

What are popular job titles related to Quant Developer Remote jobs in Colorado?

For Quant Developer Remote jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Quant Developer Remote jobs in Colorado look for?

The top searched job categories for Quant Developer Remote jobs in Colorado are:

Quant Developer Remote jobs near you
Infographic showing various Quant Developer Remote job openings in Colorado as of September 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution.

AI Engineer - FDE (Forward Deployed Engineer)

Denver, CO • On-site, Remote

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Apply