1

Manager Algorithmic Trading Quant Jobs in Denver, CO

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site

$127K - $167K/yr

Develop and optimize Resource Management algorithms based on mission requirements * Architect and ... Define and execute quantitative radarperformance assessments including detection metrics, tracking ...

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site

$128K - $170K/yr

Develop and optimize Resource Management algorithms based on mission requirements * Architect and ... Define and execute quantitative radar-performance assessments including detection metrics, tracking ...

Drive growth in the financial sector - engaging traders, portfolio managers, quantitative ... Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather ...

Drive growth in the financial sector - engaging traders, portfolio managers, quantitative ... researchers, and heads of data at trading houses, hedge funds, and asset managers - and across U.S ...

Drive growth in the financial sector -- engaging traders, portfolio managers, quantitative ... Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather ...

next page

Showing results 1-20

Manager Algorithmic Trading Quant information

See Denver, CO salary details

$25.2K

$61.3K

$119.4K

How much do manager algorithmic trading quant jobs pay per year?

As of Sep 3, 2026, the average yearly pay for manager algorithmic trading quant in Denver, CO is $61,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $70,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Algorithmic Trading Quant vs Quantitative Trader?

AspectManager Algorithmic Trading QuantQuantitative Trader
Primary RoleOversees trading strategies, manages teams, and develops high-level algorithmsExecutes trading strategies, analyzes markets, and implements models
ResponsibilitiesStrategy development, team leadership, risk managementMarket analysis, trade execution, model testing
CredentialsAdvanced degrees in finance, math, or computer science; experience in tradingDegree in finance, math, or related fields; strong quantitative skills
Work EnvironmentFinancial firms, hedge funds, trading desksTrading floors, financial institutions, hedge funds

The Manager Algorithmic Trading Quant focuses on leading teams and developing high-level trading algorithms, while the Quantitative Trader primarily executes trades and analyzes markets. Both roles require strong quantitative skills and relevant credentials, but differ in responsibilities and leadership scope.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Denver, CO?

The most popular types of Algorithmic Trading Quant jobs in Denver, CO are:

What are popular job titles related to Manager Algorithmic Trading Quant jobs in Denver, CO?

For Manager Algorithmic Trading Quant jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Manager Algorithmic Trading Quant jobs in Denver, CO look for?

The top searched job categories for Manager Algorithmic Trading Quant jobs in Denver, CO are:

What cities near Denver, CO are hiring for Manager Algorithmic Trading Quant jobs?

Cities near Denver, CO with the most Manager Algorithmic Trading Quant job openings:

Quant Trader, Market Making

Fanatics Betting & Gaming

Denver, CO • On-site

$105K - $132K/yr

Full-time

Posted 19 days ago


Key responsibilities

  • Make markets and manage risk across sports and financial prediction contracts

  • Design and develop pricing models to generate real-time fair values for event-driven outcomes

  • Partner with product, engineering, and other teams to productionize models and launch new markets


Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the roleFanatics Markets is Fanatics' prediction market platform, letting users trade contracts across sports, finance, economics, culture, and crypto. We're building out our trading desk to provide liquidity, manage risk, and ensure tight, fair markets across our contract slate. We're looking for a Senior Trader with hands-on market making experience to help scale this function as we expand into new states and asset classes.
What you'll do
  • Make markets and manage risk across sports and financial prediction contracts
  • Design and develop pricing models to generate real-time fair values for event-driven outcomes
  • Partner with product and engineering to productionize models for live trading
  • Monitor, validate, and iterate on production models, continuously improving predictive accuracy and trading outcomes while ensuring robustness and operational stability of pricing models
  • Identify and execute market-take opportunities arising from model insights and prediction-market dynamics
  • Design & implement trading strategies to maximise volume and revenue while scaling automated decision-making
  • Partner with product, quant, engineering, and compliance teams to launch new markets and contract types

What you'll bring
  • Bachelor's degree or higher in a technical or quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Economics).
  • 2+ years of professional trading or modeling experience in fast moving competitive environments such as market making, options/derivatives, prop trading, or sports betting trading
  • Experience integrating data and models into production
  • Strong grasp of trading concepts, with the ability to think critically about uncertainty and model assumptions
  • Python proficiency, including strong experience with data manipulation, statistical analysis, and automation.
  • Passion for and strong understanding of sports and event-driven markets
  • Flexibility with working hours to align with global sporting schedules.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$105,600-$132,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.