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Internship Machine Learning Quant Jobs in Colorado

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Data Science Team Leader

Denver, CO · On-site

$165K/yr

A strong track record of designing, building, deploying, and maintaining machine learning models in ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

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Data Science Team Leader

Denver, CO · On-site

A strong track record of designing, building, deploying, and maintaining machine learning models ... MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering ...

bet365

Data Science Team Leader

Denver, CO

$165K/yr

Astrong track record of designing, building, deploying, and maintaining machine learning models in ... MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or ...

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AI Engineering Intern

Boulder, CO · On-site

$17 - $25/hr

Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development COMPENSATION $17-25/hour Note that interns do not qualify for benefits or equity ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Colorado

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Colorado? The most popular types of Machine Learning Quant jobs in Colorado are:
What are popular job titles related to Internship Machine Learning Quant jobs in Colorado? For Internship Machine Learning Quant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Colorado look for? The top searched job categories for Internship Machine Learning Quant jobs in Colorado are:
What cities in Colorado are hiring for Internship Machine Learning Quant jobs? Cities in Colorado with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Colorado as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 70% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Senior Treasury Modeling Researcher

Senior Treasury Modeling Researcher

Charles Schwab Inc.

Lone Tree, CO • On-site

$105K - $234K/yr

Full-time

Posted 29 days ago

Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
As a Sr. Manager (Modeling Research) you will be part of the Product Modeling team within the Treasury Modeling department. The Product Modeling team is responsible for developing forecasting, pricing, and segmentation models across deposits, margins, and other on-/off-balance sheet products, combining structural modeling, quantitative research, and data-driven analytics to support recurring business forecasts.
This role is a research-focused role primarily centered on developing new models and enhancing existing models in that space. This position therefore requires a proven track record of publishing quantitative research (e.g. dissertation, peer-reviewed academic papers).
To succeed in this role, you should:
  • Possess solid programming and data manipulation skills, allowing you to extract valuable insights from large datasets and to write production-level code under a rigorous change management process;
  • Have deep expertise in structural and mechanistic modeling, together with strong statistical modeling skills, and the ability to build quantitative models from the ground up; machine learning experience is helpful but not the primary focus of the role; and
  • Be an excellent team player and a trusted advisor collaborating with other team members as well as be ready to present your results and observations to a wide group of stakeholders.

If you are looking for a role where you can leverage all your technical skills while having a direct business impact and want to be part of a very impactful and driven team within the Treasury organization, we encourage you to apply.
What you have:
What you have
Required skills
  • Ph.D. in Physics, Applied Mathematics, Engineering, or a related quantitative field, with strong experience in building structural or mechanistic models.
  • Proven track record of publishing quantitative research.
  • At least 5 years of work experience, preferably in a large financial company, as a quantitative modeler working with large and complex datasets, with consideration given for post-graduate research.
  • Ability to develop new models, improve efficacy of existing models and rigorously test them.
  • Deep understanding of structural, statistical, and quantitative modeling concepts, with practical experience developing models grounded in underlying system dynamics, economic behavior, or other interpretable drivers.
  • Proven track record in developing, deploying and maintaining models.
  • Strong programming skills in a modern programming language (e.g., Python, C++) and familiarity with object-oriented coding principles.
  • Experience with a modern software change management process.
  • Advanced experience in extracting data from relational databases (e.g., via SQL).
  • Experience in visualizing data analytics and model results.
  • Strong work ethic, high self-motivation, proactive approach, attention to detail and ability to deliver under tight deadlines.
  • Excellent communication skills, both verbal and written.
  • Strong inter-personal skills and a collaborative team player.

Preferred skills
  • Prior work experience in a Treasury department of a large financial firm.
  • Prior experience modeling deposits, margin, and other balance sheet products.
  • Experience applying structural or mechanistic models in a production environment.
  • Experience with time-series, dynamic systems, or behavioral modeling in applied settings.
  • Familiarity with machine learning methods where they complement structural modeling objectives.

What you'll do:
  • Gain a deep understanding of the various forecasting models which measure the market risk in financial projections associated with a diverse set of products across the balance sheet.
  • Analyze large datasets to extract insights into Schwab's balance sheet and clients, and to provide analytical support for strategic decisions.
  • Develop new models for margin and deposit products. This includes research, writing of model white papers and technical papers and model maintenance.
  • Develop and refine structural and quantitative models using granular datasets to improve forecasts and understand customer and product behavior; apply machine learning techniques selectively where they provide incremental value.
  • Leverage industry opportunities to expand the organization's capabilities in data science, engineering, and modeling techniques.

In addition to the salary range, this position is also eligible for bonus or incentive opportunities

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