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Algorithmic Trading Jobs in Colorado (NOW HIRING)

Anduril Industries

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 ...

Worky

Senior Algorithm Developer

Fort Collins, CO · On-site

$190K - $252K/yr

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

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Algorithmic Trading information

See Colorado salary details

$78.3K

$90.2K

$98.8K

How much do algorithmic trading jobs pay per year?

As of Sep 14, 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.

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

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What cities in Colorado are hiring for Algorithmic Trading jobs?

Cities in Colorado with the most Algorithmic Trading job openings:

Algorithmic Trading jobs near you
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.

Software Engineer - Trading Systems

Austin, CO • On-site

WorldQuant
Finance and Insurance • 501 - 1,000 employees
Learn more about WorldQuantexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
WorldQuant is a company that develops and deploys systematic financial strategies across global markets. They are seeking exceptional C++ developers to enhance and build their next generation trading platforms.
Responsibilities:
• Write low latency, high throughput C++ code
• Implement mission critical trading infrastructure
• Work with portfolio managers to implement new trading systems
• Adapt existing systems to our next generation trading platform
Qualifications:
Required:
• A minimum of 4 years of writing high performance C++
• Modern C++ knowledge (C++17/20, etc)
• C++ template meta programming knowledge
• Possess in-depth knowledge of network programming and distributed computing
• Strong knowledge of Unix/Linux fundamentals
• Strong understanding of data structures and algorithms
Preferred:
• Finance experience is preferred but not required
Company:
WorldQuant is a quantitative investment management firm. Founded in 2007, the company is headquartered in Old Greenwich, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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