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Algorithmic Trading Jobs in Houston, TX (NOW HIRING)

Raytheon

RF Data Link Engineer II

Houston, TX

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

Raytheon

Senior RF Data Link Engineer

Houston, TX

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Houston, TX

Algorithmic Trading information

See Houston, TX salary details

$71.1K

$81.9K

$89.8K

How much do algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for algorithmic trading in Houston, TX is $81,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $86,900.00 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 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.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

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.
More about Algorithmic Trading jobs
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What cities near Houston, TX are hiring for Algorithmic Trading jobs? Cities near Houston, TX with the most Algorithmic Trading job openings:
Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $81,888 per year, or $39.4 per hour.

Market Risk Analyst (1935)

Aramco Services Company

Houston, TX • On-site

Full-time

Re-posted 6 days ago

Job description

JOB DESCRIPTION SUMMARY
The Market Risk Analyst primary role is to support trading by monitoring daily trading activity and produce daily reports and alerts to management. Assume a pivotal role in assessing and managing market risks within trading environments. You will provide market risk analysis for global and regional trading activities. Responsibilities encompass conducting daily price exposure, reporting mark-to-market and P&L, analyzing exposure limits, and evaluating value at risk (VaR) to fortify risk management strategies. Collaborate closely with senior analysts to contribute to the refinement of risk models and offer insights into market dynamics
KEY DUTIES and RESPONSIBILITIES
  • Execute daily risk control process and risk reports; working alongside with traders, operators and IT to manage market risk.
  • Ensure daily data integrity, validate positions and reconcile data inconsistences with traders.
  • Monitor and report daily price exposure, mark-to-market and P&L to management for designated book
  • Coordinate with the risk management team to ensure alignment with regulatory mandates and internal protocols.
  • Contribute to the development and upkeep of risk management models and tools tailored for market risk evaluation.
  • Collaborate on ad-hoc projects and tasks under the direction of senior analysts, fostering continuous improvement in market risk management practices.
  • Monitor market trends and analyze data to detect potential risks within trading settings.
  • Explore innovative approaches to analyze market data, identify emerging risks, and enhance risk management strategies.
  • Engage in discussions to furnish insights into market risk factors and their potential effects on trading operations.
  • Support the implementation of risk mitigation strategies to curtail potential losses.
  • Contribute to the development and enhancement of market risk models, including VaR models, stress testing frameworks, and scenario analysis tools.
  • Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement.
  • Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and predictive power of market risk models.
  • Execute stress testing and scrutinize exposure limits under senior guidance for accurate risk assessment.
  • Assist in crafting reports detailing market risk metrics like VaR and scenario analysis.

COMMUNICATION
Internal Communication
  • Collaborate with traders, operators and IT to produce accurate daily risk reports.
  • Actively participate in team discussions to analyze risk assessment findings and propose effective mitigation strategies.
  • Provide regular updates to the direct manager, ensuring clear communication on ongoing risk analysis initiatives and emerging concerns.

External Communication
  • Collaborate with market data providers to gather relevant information essential for risk analysis and decision-making.
  • Interface with external auditors or regulatory bodies as needed to facilitate discussions on market risk assessment and compliance matters.

JOB REQUIREMENTS
Education and Skills (Required, Preferred)
  • Bachelor's degree in finance, economics, mathematics, engineering or a related field.
  • Proficiency in Microsoft Excel and other relevant analytical tools.
  • Strong numerical and analytical skills.
  • Excellent written and verbal communication skills.
  • Excellent problem-solving skills and the ability to think critically under pressure.

Preferred
  • Proficiency in advanced analytical tools such as Python, R, or MATLAB.
  • Strong understanding of financial derivatives and their application in risk management.

Experience and Knowledge (Required, Preferred)
  • Minimum 5 years of experience in a related field.
  • Ability to work with financial data and perform quantitative analysis.
  • Familiarity with risk management concepts and methodologies.
  • Basic understanding of financial markets and trading strategies.

Preferred
  • Experience in quantitative finance, risk management, or related fields.
  • Proven track record in developing and implementing risk models and methodologies.
  • Familiarity with advanced statistical techniques and machine learning algorithms for risk analysis.

Abilities and Specific Requirements (Required, Preferred)
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong problem-solving skills and critical thinking ability.
  • Capacity to prioritize tasks and manage time effectively.
  • Adherence to strict confidentiality and ethical standards in handling sensitive financial information.

Preferred
  • Demonstrated ability to adapt to evolving market conditions and regulatory requirements.
  • Strong interpersonal skills for effective collaboration with colleagues and stakeholders.

NO THIRD-PARTY CANDIDATES ACCEPTED

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