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Algorithmic Trading Jobs in Colorado (NOW HIRING)

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Algorithmic Trading information

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$78.3K

$90.2K

$98.8K

How much do algorithmic trading jobs pay per year?

As of Sep 15, 2026, the average yearly pay for algorithmic trading in Colorado is $90,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $95,700.00 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 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 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.

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 popular job titles related to Algorithmic Trading jobs in Colorado?

For Algorithmic Trading jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Colorado look for?

The top searched job categories for Algorithmic Trading jobs in Colorado are:

What cities in Colorado are hiring for Algorithmic Trading jobs?

Cities in Colorado with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $90,167 per year, or $43.3 per hour.

Algorithm Engineer, Battlespace Awareness

Broomfield, CO • On-site

$126K - $167K/yr

Other

Posted 13 days ago


Key responsibilities

  • Design and implement advanced tracking algorithms for air and missile threats, including multi-target tracking, track fusion, and discrimination techniques

  • Develop high-performance, real-time software systems that process radar sensor data and maintain tracks on multiple targets

  • Collaborate with radar engineers and system architects to integrate tracking solutions into defense systems


Job description

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds

We don't just publish papers; we deploy production-grade systems that our government and industry customers depend on for mission-critical operations. If you're passionate about applying mathematics, software engineering, and signal processing to solve complex real-world problems, we want to hear from you.

WHAT YOU WILL DO
  • Design and implement advanced tracking algorithms for novel air and missile threats, including multi-target tracking, track fusion, and discrimination techniques
  • Develop high-performance, real-time software systems that process radar sensor data and maintain tracks on dozens to hundreds of simultaneous targets
  • Build and leverage modeling & simulation environments to validate tracking performance, quantify system capabilities, and identify areas for improvement
  • Collaborate directly with radar engineers and system architects to integrate tracking solutions into end-to-end defense systems
  • Optimize tracking software for performance-critical environments where milliseconds matter
  • Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and customers to drive informed decisions
  • Participate in customer demonstrations and field tests to ensure successful deployment and operational effectiveness
REQUIRED QUALIFICATIONS
  • 2 years of relevant experience & Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field (or equivalent experience)
  • Strong programming skills in C++ and Python
  • Solid foundation in mathematics: linear algebra, probability, statistics, and/or differential equations
  • Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
  • Ability to obtain and maintain a U.S. Top Secret SCI security clearance
DESIRED QUALIFICATIONS
  • Experience with tracking, estimation, or filtering algorithms (Kalman filters, particle filters, multiple hypothesis tracking, etc.)
  • Background in controls, estimation theory, or digital signal processing
  • Familiarity with radar systems or sensor fusion
  • Experience with high-performance computing (multithreading, GPU acceleration, distributed systems)
  • Knowledge of machine learning techniques for classification, clustering, or data association
  • Proficiency with database technologies (SQL, NoSQL, time-series databases)
  • Experience with web development technologies (JavaScript, React, Node.js) for building visualization and analysis tools
  • Familiarity with modeling and simulation tools (MATLAB, Simulink, or custom frameworks)
  • Experience working in agile development environments
  • Active U.S. Top Secret SCI clearance

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

US Salary Range

$126,000 — $167,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

For more information, Explore Our Benefits.

Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

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