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Remote Junior Quant Developer Jobs in Colorado (NOW HIRING)

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Serve as a technical mentor to junior engineers, supporting skill development and quality project ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Serve as a technical mentor to junior engineers, supporting skill development and quality project ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Serve as a technical mentor to junior engineers, supporting skill development and quality project ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Serve as a technical mentor to junior engineers, supporting skill development and quality project ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

We remain open to remote work options for applicants whose background and performance standards ... Serve as a technical mentor to junior engineers, supporting skill development and quality project ...

RS&H

Highway Engineer II

Denver, CO · On-site +1

This position will have the ability to work a hybrid schedule of in-office and remote. As part of ... reviewing junior staff's work for technical accuracy and providing technical guidance to other ...

RS&H

Highway Engineer II

Denver, CO · On-site +1

This position will have the ability to work a hybrid schedule of in-office and remote. As part of ... reviewing junior staff's work for technical accuracy and providing technical guidance to other ...

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 ...

UPSTATE COIN & GOLD

Salesforce Engineer

Centennial, CO · On-site +1

$54.75 - $72.50/hr

We are seeking an experienced Salesforce Engineer to join our team in a hybrid remote role. This ... to junior team members and driving technical accountability. * Platform Administration: Perform ...

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All JobsQuant Developer JobsRemote Junior Quant Developer JobsRemote Junior Quant Developer Jobs in Colorado

Remote Junior Quant Developer information

What is a remote junior quant developer?

A Remote Junior Quant Developer is an entry-level professional who works from a remote location to support quantitative research and financial modeling, often within banks, hedge funds, or fintech companies. Their responsibilities typically include developing, testing, and maintaining algorithms and quantitative models that help inform trading strategies or risk management. They use programming languages like Python, C++, or R to analyze large data sets and automate processes. As 'junior' developers, they work under the guidance of more senior quantitative analysts or developers while building their technical and financial expertise.

What are the key skills and qualifications needed to thrive as a remote junior quant developer?

To thrive as a Remote Junior Quant Developer, you need a strong background in mathematics, statistics, and programming (often Python, C++, or Java), typically supported by a relevant degree in quantitative fields like math, physics, or computer science. Familiarity with financial modeling tools, version control systems like Git, and quantitative libraries such as NumPy or pandas is commonly required. Attention to detail, problem-solving abilities, and clear communication are critical soft skills, especially when collaborating remotely with cross-functional teams. These skills ensure accurate model development, efficient code collaboration, and effective teamwork in the fast-paced, data-driven finance industry.

What are some common challenges faced by remote junior quant developers, and how can they be addressed?

Remote junior quant developers often encounter challenges such as limited access to on-the-spot mentorship, difficulties in understanding complex quantitative models without in-person guidance, and the need to communicate effectively across distributed teams. To overcome these hurdles, it's important to proactively seek regular check-ins with senior team members, utilize collaborative tools for code reviews and project tracking, and participate in virtual study groups or forums. Building strong written communication skills and maintaining a disciplined work schedule can also help ensure steady progress and integration with the team.

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

AspectRemote Junior Quant DeveloperRemote Quant Analyst
Required CredentialsBachelor's in Math, CS, or related field; some programming experienceBachelor's or higher in Finance, Math, or related; programming skills beneficial
Work EnvironmentCollaborative teams in finance or hedge funds; focus on coding and model developmentResearch-focused; analyzing data, developing trading strategies, reporting
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment firms, hedge funds

The Remote Junior Quant Developer primarily focuses on coding, developing algorithms, and building models, often requiring programming skills and a background in math or computer science. In contrast, the Remote Quant Analyst emphasizes data analysis, research, and strategy development, often with a stronger emphasis on finance knowledge. Both roles are common in financial firms and often overlap in skills, but they differ in daily tasks and focus areas.

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

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

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

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

What cities in Colorado are hiring for Remote Junior Quant Developer jobs?

Cities in Colorado with the most Remote Junior Quant Developer job openings:

Remote Junior Quant Developer jobs near you
Infographic showing various Remote Junior Quant Developer job openings in Colorado as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Staff Computer Vision AI/ML Engineer

Vets Hired

Aurora, CO • Remote

Full-time

Posted 5 days ago

Key responsibilities

  • Lead the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications.

  • Analyze and preprocess large remote sensing datasets, and train, optimize, and deploy deep-learning computer vision models.

  • Guide and mentor junior engineers, researchers, and software developers, and collaborate with program management to define project scope, schedules, and milestones.

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities
  • Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
  • Analyze and preprocess large remote sensing datasets.
  • Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
  • Research multimodal data fusion for ATR across diverse data-collection scenarios.
  • Train, optimize, and deploy deep-learning computer vision models.
  • Apply AI/ML techniques to solve computer vision problems across multiple domains.
  • Evaluate emerging research and publications related to AI/ML and computer vision.
  • Translate complex technical concepts into understandable information for government customers.
  • Apply AI/ML research to defense and commercial applications.
  • Guide and mentor junior engineers, researchers, and software developers.
  • Collaborate with program management to define project scope, schedules, and milestones.
  • Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
  • Develop technical documentation, code documentation, capability descriptions, and user guides.
  • Support the development and growth of AI/ML technical capabilities and strategy.
Required Qualifications
  • Active TS/SCI security clearance.
  • Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
  • 10+ years of professional experience, preferably in software development or data science.
  • 5+ years of experience developing and training AI/ML models.
  • Experience leading interdisciplinary teams of researchers and software developers.
  • Experience working with program managers to define project scope, schedules, and milestones.
  • Experience selecting, evaluating, and improving AI/ML approaches.
  • Strong Python programming experience.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
  • Experience developing convolutional or transformer-based computer vision models.
  • Strong technical communication and documentation skills.
  • Ability to prepare and present technical reports to engineering teams and customers.
Desired Qualifications
  • MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.
  • Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.
  • Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.
  • Experience with Graph Convolutional Networks (GCNs).
  • Experience with SAR, EO, or OPIR image-processing chains.
  • Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.
  • Familiarity with AWS services such as EC2, S3, and Lambda.
  • Experience with code, data, and model version-control processes.
  • Experience with Linux.
  • Experience with tracking, fusion, and pattern-of-life algorithms.
  • Experience with application deployment, virtualization, and containerization.
  • Experience supporting proposal development and writing.
  • Active TS/SCI clearance with Polygraph.