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Algorithmic Trading Jobs in Denver, CO (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 ...

Workiva, Inc.

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 ...

Workiva Inc.

Senior AI Product Manager

Denver, CO · On-site

$129 - $261/hr

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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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Denver, CO

Algorithmic Trading information

See Denver, CO salary details

$74.4K

$85.6K

$93.9K

How much do algorithmic trading jobs pay per year?

As of Aug 23, 2026, the average yearly pay for algorithmic trading in Denver, CO is $85,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $90,900.00 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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For Algorithmic Trading jobs in Denver, CO, the most frequently searched job titles are:

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Algorithmic Trading jobs near you
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 80% In-person, and 20% Remote job distribution, with an average salary of $85,641 per year, or $41.2 per hour.

IT Software Engineering 1SHLJP00011606

MRE Consulting

Greenwood Village, CO • On-site

$120 - $150/hr

Other

Posted 5 days ago

Job description

Required Industry Knowledge
  • Understanding of all major global futures exchanges
  • Knowledge of full exchange‑traded derivatives trade lifecycle
  • Minimum of 8 years’ experience in Commodity Trading & Capital Markets / Investment Banks – to bring credible externalization of mindset and approach and ensure we are cost: value competitive
  • Knowledge of market data providers (Bloomberg, Refinitiv, etc.) and liquidity aggregation platforms.
  • Minimum of 8 years of knowledge of Realtime Market Data distribution platforms, individual Feedhandlers and Enterprise level realtime consolidated feeds
  • Minimum of 8 years of knowledge of timeseries analytic frameworks include kdb, shakti or similar technologies
Role Overview

As DevOps Engineer, you will be a hands‑on Engineer and be a member of a small high performing team responsible for global derivatives trading production environments. Your work will be driven both by product teams but also engineering team backlogs of improvements and tech debt.

  • Ensure proactive management of critical end‑to‑end workflows, continuously improving stability and resilience through close collaboration with delivery and infrastructure teams
  • Assist with troubleshooting and issue resolution across development, support, and technical business users.
  • Serve as a subject matter expert for trading systems initiatives.
  • Hands‑on experience in supporting scalable algorithmic trading technology in a compliant and flexible way.
  • Experience of Algo regulation, audit and compliance & RTS6) is highly desirable
  • Being part of the on‑call rota working as part of a global team development engineers
Key Skills and Experience required
  • Solid track record in application deployment best practices
  • 10 years+ experience with Front Office application support and vendor management
  • Rapid incident response to maintain continuous trading operations, turning quick fixes into robust, scalable solutions
  • Proactive system monitoring and troubleshooting, owning reliability improvements and ensuring their successful delivery
  • Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements
  • Strong analytical and problem‑solving skills, with the ability to analyze complex data sets and propose innovative solutions.
  • Must have strong technical skills in scripting, Python, PowerShell, C#, SQL or other programming languages
  • 8 years+ solid relevant FIX Engineering experience
  • Proven experience with exchange and vendor certification
  • Knowledge of Third Party Networks and EMS/OMS software vendors. (e.g., TT, NYFIX, Bloomberg, TradingScreen)
  • Experience in messaging systems, and experience debugging network protocols such as TCP, multicast, would be highly regarded.
  • 8 years+ operational experience in supporting market data distribution platforms such as, Real Time Distribution Systems (RTDS) knowledge for DACS, ADH & ADS components
  • Knowledge of Multicast data traffic management, arbitration and message queueing
  • 5 years+ operational experience in supporting time series frameworks such as kdb, shakti
Soft Skills
  • Excellent communication skills to interact with traders, developers, and stakeholders.
  • Thrives in high-pressure situations while working alongside traders, developers and other engineering teams
  • Proactive, self‑motivated, and flexible with a positive attitude
  • Ability to work under demanding deadlines with changing priorities in a trading room environment
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