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Algorithmic Trading Jobs in Colorado (NOW HIRING)

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

Algorithm Engineer

Broomfield, CO · On-site

$111K - $147K/yr

Design and implement advanced tracking algorithms for novel air and missile threats, including ... Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and ...

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 Colorado salary details

$78.3K

$90.2K

$98.8K

How much do algorithmic trading jobs pay per year?

As of Jul 10, 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 Colorado? The most popular types of Algorithmic Trading jobs in Colorado are:
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 July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $90,167 per year, or $43.3 per hour.
Senior / Principal Energy Analyst (SmartBidder)

Senior / Principal Energy Analyst (SmartBidder)

Ascend Analytics

Boulder, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Salary: $100,000 - $160,000 USD Annually

Senior / Principal Energy Analyst (SmartBidder), Boulder, CO (Hybrid)

SmartBidder analystsmanage and advise on the trading strategy andwholesalemarket operations for 5+ GW ofbatteryenergystorageassets.Thiscross-functional role spanstrading, market analytics, customer success, sales, engineering, product, and operations.We'relooking for someone who brings industryexpertise, opinions about power trading, and a desire to make animpact. The ideal candidate has excellent communication and analytical skills, a strong background in economics, finance, or engineering, andexhibitshigh levelsof leadership and professionalism.


SmartBidder provides custom bid optimizationfor battery storagein power markets through a suite of probabilistic and AI-assisted models, incorporating forecasted nodal price dynamics, asset-specific constraints, and risk-based optimization. From fully managed to self-service, SmartBidder customers have unparalleled control and flexibility to use built-in strategies based on profit and risk tolerance or integrate their own models into the platform.


Our Mission @ Ascend

At Ascend Analytics, our mission centers on creating sustainable economic value for energy buyers and producers to transform the power industry. Our team combines advanced analytics, cloud-based technology, and deep market expertise to help our clients solve complex challenges across grid reliability, power market volatility, renewable integration, infrastructure development, and energy investment strategy. As a high-growth, private equitybacked company, Ascend continues to expand its market leadership while investing in innovation, talent, and scalable solutions for an increasingly dynamic energy market.

Your Impact @ Ascend

Real influence. Real outcomes. At every level.

  • High-impact work.Shape the tools and decisions that drive the clean energy transition.
  • Direct exposure.Work alongside executive leadership and key utility and corporate clients.
  • Room to grow.A rapidly scaling SaaS business with real advancement opportunities.
  • Collaborative culture.A team that values creative thought, inclusion, and work-life balance.

Key Responsibilities

  • Provideexpertisein wholesale electricity commodity and derivatives trading, wholesale market fundamentals, and market operations.
  • Serveas a trusted advisor on SmartBidder performance and operations.
  • Provide leadership on the analyst team to scope and conduct quantitative analysis aimed at improving algorithmic trading performance and results.
  • Collaborate with Engineering, Data Science, and Product to advance SmartBidder features and improve bidding performance.
  • Monitor regulatory and market design changes across ISOs and assess their impact on customer operations and strategies.
  • Participate in customer-facing webinars and newsletters covering market trends, operational best practices, and platform updates.
  • Support Sales throughproductdemos, trials, anddemonstratingsubject matterexpertise.
  • Act asliaisonbetween clients, third-party providers, and internal engineering teams to ensure smooth operations and resolve issues efficiently.
  • Participate in on-call rotationstosupport real-timetrading decision-makingand livemarket operations, including occasional evenings or weekends.


Key Qualifications

Required

  • Bachelor's degree in engineering, data science, economics, or other relevant field.
  • 4+ years of professional experience in wholesale power markets, energy trading, or market analytics; relevant experience at a utility, IPP, trading firm, energy software company, strongly preferred.
  • Familiarity with energy modeling systems and methods, including price forecasting, dispatch optimization, or related analytical frameworks; knowledge of market rules in ERCOT, CAISO, and PJM preferred.
  • Experience with and proclivity to using AI tools for research, coding and workflow automation.
  • Strong quantitative and analytical skills; proficiency in Python preferred.
  • Excellent verbal and written communication skills; able to explain complex market dynamics clearly to both technical teams and executive audiences, and to produce polished customer-facing materials.
  • Experience in customer-facing, consulting, or advisory roles with demonstrated ability to build trust with clients and manage relationships effectively.
  • Demonstrated ability to mentor junior team members and contribute to a collaborative, high-performance team culture.
  • Self-directed and highly organized; able to manage multiple priorities, work independently, and maintain rigor in a fast-paced operational environment.

Preferred

  • Graduate degreein economics,engineering,finance, business,withconcentration inenergy.
  • 10+ yearsof professional experience in wholesale power markets, energy trading, or market analytics; relevant experience at a utility, IPP, trading firm, energy software company, strongly preferred.
  • Electricitytradingexperiencespecifically inCAISO, ERCOT, and/or PJM.
  • Project management experience is a plus.


Our Values @ Ascend

Ascend Analytics promotes a culture of teamwork, inclusion, work-life balance, creative thought, and learned ideas. We operate by five core pillars:

  • Integrity:We act with honesty and uphold the highest ethical standards, doing the right thing even when it's difficult.
  • Purpose Driven: We are united by a shared purpose to delivermeaningful impact for our customers, our industry, and the energytransition to a low carbon future.
  • Belonging: We foster a respectful, inclusive environment where everyone is valued, diverse perspectives are embraced, and equitable opportunities are provided for all.
  • Innovation:We anticipate and address new challenges, embracing change and continuous improvement
  • One Team Mindset:We collaborate across teams and functions, supporting one another and prioritizing shared success over individual wins.


Your Value @ Ascend

We offer competitive compensation calibrated to your experience and structured to grow with you along with a comprehensive benefits package:

  • Medical, dental, and vision coverage.
  • Life and disability insurance.
  • Parental leave for growing families.
  • FSA, HSA, and dependent care accounts.
  • 401(k) with 3% non-elective contribution.
  • Flexible PTO to take time when you need it.


Join a team that values your work, supports your growth, and invests in your future!

We offer a competitive salary range of $100,000$160,000 USD Annually. Compensation is flexible and will be tailored to your experience and background we're proud to offer pay that is often above industry average. But the perks dont stop there were committed to creating a workplace where people can do meaningful work, grow their careers, and still have a life outside the office. Youll enjoy flexible work hours, a collaborative environment, and real opportunities for advancement.


Collaboration is in our DNA, and we thrive on the energy of working together the spontaneous ideas, face-to-face teamwork, and culture you can only build in a room.

But we also value the focus and freedom that remote flexibility brings. That's why our Boulder, CO office runs on a hybrid schedule (3 days in-office, 2 days remote). We prefer candidates who can work from Boulder HQ, though we're open to strong remote candidates as well.


Need accommodations? Contact us at recruiting@ascendanalytics.com.

Ascend Analytics is an Equal Employment Opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees regardless of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, or genetic information.