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Contract Algorithmic Trading Jobs (NOW HIRING)

Edge Global

Fidessa Support Consultant

New York, NY · On-site

NYC, NY - Fully Onsite Job Type:- Contract * Resource is expected to do broker/dealer onboarding by ... Nice to have algorithmic trading experience with some vendor products exposure * Project management ...

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Contract Algorithmic Trading information

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$74.5K

$85.8K

$94K

How much do contract algorithmic trading jobs pay per year?

As of Aug 21, 2026, the average yearly pay for contract algorithmic trading in the United States is $85,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What is contract algorithmic trading?

Contract algorithmic trading involves using computer algorithms to execute trades automatically on financial markets, typically under a contract basis for clients or firms. Professionals in this field develop and implement trading strategies, optimize algorithms for speed and efficiency, and manage risks associated with automated trading. They often work on a project or freelance basis, contributing their expertise in quantitative analysis, programming, and financial markets to deliver tailored trading solutions.

What are some typical challenges faced by professionals in contract algorithmic trading roles?

Professionals in contract algorithmic trading often encounter challenges such as adapting quickly to new trading platforms, integrating with proprietary APIs, and meeting tight deadlines for strategy deployment. The fast-paced nature of the industry requires staying up-to-date with rapidly evolving market conditions and regulatory requirements. Additionally, contractors must be adept at collaborating with in-house quantitative analysts and developers to ensure seamless strategy implementation and performance monitoring.

What are the key skills and qualifications needed to thrive as a contract algorithmic trader, and why are they important?

To thrive as a Contract Algorithmic Trader, you need strong quantitative analysis skills, programming expertise (often in Python or C++), and a solid understanding of financial markets, typically supported by a degree in mathematics, finance, or computer science. Familiarity with trading platforms, backtesting frameworks, and data analysis tools is crucial, and certifications like CFA or FRM can be advantageous. Exceptional problem-solving abilities, attention to detail, and the capacity to work independently under tight deadlines set standout professionals apart. These skills are essential for developing effective trading strategies, mitigating risks, and adapting quickly in the dynamic, high-stakes environment of algorithmic trading.

How to get a job in contract algorithmic trading?

To secure a contract algorithmic trading role, candidates typically need a strong background in computer science, mathematics, or finance, along with proficiency in programming languages such as Python, C++, or Java. Experience with trading platforms, data analysis, and algorithm development is essential, and familiarity with financial markets and risk management can improve prospects. Building a portfolio of trading algorithms and obtaining relevant certifications can also enhance chances of landing such roles.
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Contract Algorithmic Trading jobs near you
Infographic showing various Contract Algorithmic Trading job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $85,750 per year, or $41.2 per hour.

Senior DevOps Engineer (Trading & Supply, Commodity Trading & Capital Markets) - Only W2

Saransh Inc

Houston, TX • On-site

$124K - $159K/yr

Contractor

Re-posted 27 days ago

Job description

Role: Senior DevOps Engineer (Trading & Supply, Commodity Trading & Capital Markets)
Location: Houston, TX (Hybrid - 3 Days a week onsite)
Job Type: W2 Contract
 
Summary:
Client is looking for strong DevOps experience, preferably within Trading, Supply Chain, Energy, Commodities, or related domains.
 
Description:
What We Need from You:
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 externalisation of mindset and approach and ensure we are cost: value competitive
  • Knowledge of market data providers (Bloomberg, Refinitiv, etc.) and liquidity aggregation platforms.
  • [Mininum of 8 years of knowledge of Realtime Market Data distribution platforms, individual Feedhandlers and Enterprise level realtime consolidated feeds]
  • [Mininum 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 derviatives trading production environments.
  • Your work will be driven both by product teams but also engineering team backlogs of improvements and tech debt.
 
Work includes:
  • 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 an 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]