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Algorithmic Trading Jobs in Denver, CO (NOW HIRING)

Senior Algorithm Developer

Broomfield, CO · On-site

$55 - $72.50/hr

Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and ... Experience with tracking, estimation, or filtering algorithms (Kalman filters, particle filters ...

Senior AI Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders * Strong analytical and problem-solving abilities ...

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Algorithmic Trading information

See Denver, CO salary details

$76.7K

$88.3K

$96.8K

How much do algorithmic trading jobs pay per year?

As of Aug 6, 2026, the average yearly pay for algorithmic trading in Denver, CO is $88,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are the most commonly searched types of Algorithmic Trading jobs in Denver, CO? The most popular types of Algorithmic Trading jobs in Denver, CO are:
What are popular job titles related to Algorithmic Trading jobs in Denver, CO? For Algorithmic Trading jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Denver, CO look for? The top searched job categories for Algorithmic Trading jobs in Denver, CO are:
Infographic showing various Algorithmic Trading job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $88,260 per year, or $42.4 per hour.

Senior GNC Engineer, Space Systems

Katalyst Space Technologies

Broomfield, CO

$140K - $240K/yr

Other

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

What You'll Do 

  1. Supporting GNC algorithm trade studies 
  2. Building simulation environments and prototype algorithms
  3. Collaborating on system-level integration 
  4. Developing and validating 6-DoF simulation tools
  5. Assisting with datasets and algorithm evaluation
  6. Supporting implementation, testing, and debugging 

Your Ideal Background

Required 

  1. Bachelor's degree in relevant engineering field 
  2. 3+ years of experience working in guidance, navigation, and controlin one or more areas:
  3. Modeling and simulation
  4. Algorithm development for state estimation
  5. Trajectory or path planning  
  6. Classical or modern control of dynamical systems
  7. Software development experience in Python for modeling and simulation applications
  8. Experience with GNC systems, sensors, or control algorithms  
  9. Ability to work in fast-paced startup environment  
  10. Strong problem-solving skills  

Desired 

  1. Experience with space system development, especially around guidance, navigation and control, or rendezvous proximity operations.
  2. Orbital mechanics / Astrodynamics knowledge
  3. Git, Linux, Basilisk familiarity C/C++ experience
  4. Strong communication skills
  5. Real-time embedded systems experience
  6. Hardware-in-the-loop experience
  7. Spacecraft hardware knowledge (RWAs, thrusters, etc)
  8. Mission operations experience 

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $140,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.