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Weekend Algorithmic Trading Quant Jobs in Texas (NOW HIRING)

... trading teams: stress-testing assumptions, evaluating risk-reward tradeoffs, optimizing capital allocation, and supporting deployment of new quantitative and algorithmic strategies. You'll also drive ...

... trading teams: stress-testing assumptions, evaluating risk-reward tradeoffs, optimizing capital allocation, and supporting deployment of new quantitative and algorithmic strategies. You'll also drive ...

Senior Software Engineer C++

Austin, TX · On-site

$121K - $160K/yr

Optiver is looking for Senior Software Engineers to join our High-Frequency Trading (HFT) team in ... Our software engineers work on some of the most challenging algorithmic problems in the world. The ...

Senior Software Engineer C++

Austin, TX

$121K - $160K/yr

Optiver is looking for Senior Software Engineers to join our High-Frequency Trading (HFT) team in ... Our software engineers work on some of the most challenging algorithmic problems in the world. The ...

Data Scientist

Taylor, TX · On-site

$76K - $174K/yr

Develop and optimize abnormality detection algorithms of time-series data to monitor diverse ... Bachelor's or higher in Computer Science, Data Science, or a related quantitative field (or ...

Showing results 41-60

Weekend Algorithmic Trading Quant information

What is a Weekend Algorithmic Trading Quant?

A Weekend Algorithmic Trading Quant is a quantitative analyst who specializes in developing, testing, and implementing trading algorithms specifically for financial markets that operate or are accessible during weekends, such as cryptocurrency markets. These professionals use mathematical models, statistical analysis, and programming skills to identify trading opportunities, manage risk, and optimize trading strategies outside of traditional market hours. Their work often involves analyzing large datasets, backtesting strategies, and deploying automated trading systems to generate profits while minimizing human intervention.

What are the key skills and qualifications needed to thrive as a Weekend Algorithmic Trading Quant, and why are they important?

To thrive as a Weekend Algorithmic Trading Quant, you need strong quantitative analysis skills, programming proficiency (such as Python or C++), and a degree in mathematics, finance, or a related field. Familiarity with trading platforms, statistical modeling libraries, and backtesting systems is typically required, along with experience using market data APIs. Exceptional problem-solving abilities, attention to detail, and the capacity to work independently under time constraints are valuable soft skills in this role. These competencies are crucial for developing, testing, and executing profitable trading strategies in dynamic weekend markets where rapid decision-making is essential.

What are some common challenges faced by a Weekend Algorithmic Trading Quant, and how can they be addressed?

One of the main challenges for a Weekend Algorithmic Trading Quant is ensuring the robustness and reliability of trading algorithms during periods of lower market liquidity and higher volatility, which are common on weekends in certain asset classes like cryptocurrencies. Additionally, effective monitoring and quick response to unexpected market events can be more difficult with limited team availability outside regular business hours. To address these challenges, quants typically implement thorough backtesting, automated alert systems, and clear escalation protocols to manage risk and maintain performance even during off-peak times.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Texas?

The most popular types of Algorithmic Trading Quant jobs in Texas are:

What are popular job titles related to Weekend Algorithmic Trading Quant jobs in Texas?

For Weekend Algorithmic Trading Quant jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Weekend Algorithmic Trading Quant jobs in Texas look for?

The top searched job categories for Weekend Algorithmic Trading Quant jobs in Texas are:

What cities in Texas are hiring for Weekend Algorithmic Trading Quant jobs?

Cities in Texas with the most Weekend Algorithmic Trading Quant job openings:

Infographic showing various Weekend Algorithmic Trading Quant job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Risk Manager - Equity Derivatives

All Options

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

All Options is looking for a Risk Manager to join our team in Austin, TX. You will be at the center of how we manage risk as a market maker in equity derivatives, with real responsibility from day one.


Day-to-day, you'll monitor risk live on our trading floor and work closely with trading teams: stress-testing assumptions, evaluating risk-reward tradeoffs, optimizing capital allocation, and supporting deployment of new quantitative and algorithmic strategies.


You'll also drive strategic initiatives: strengthening our limits framework, improving risk processes, and ensuring regulatory and clearing requirements are met. This is a high-impact role where your decisions directly shape both our risk profile and our ability to capture trading opportunities.


Key Responsibilities:

  • Oversee daily market risk management of our equity derivatives business, engaging directly with traders, clearing banks, trading venues
  • Monitor and investigate risk concentrations, clearing bank requirements, operational incidents, unusual trades and market moves, linking insights to current exposures
  • Operate and improve our market and operational risk frameworks, with a strong focus on automated trading strategies and effective incident follow-up
  • Design, improve, and operate our market risk frameworks and automated monitoring tools in Python
  • Assess and sign off on new trading strategies and algorithms
  • Further develop the risk-control framework, including policies, with a strong focus on trading and technology
  • Provide input to optimize capital and liquidity allocation and usage of trading strategies


Key Requirements:

  • 3 - 5 years of experience working in an equity derivatives trading firm
  • Bachelor's degree in a quantitative field such as STEM, Statistics, Economics, or Finance
  • Hands-on understanding of equity and derivatives trading
  • Clear understanding of risk factors that affect a market maker company trading a large equity derivatives portfolio
  • Excellent numerical and analytical skills
  • Ability to write code in Python
  • Able to both design and implement aspects of risk management frameworks
  • Independent thinker, with convincing communication skills
  • Results-oriented with attention to detail and focus on quality of work
  • Mindset geared towards continuous improvement and innovation
  • Collaborative team player, able to contribute in fast-paced trading environment


Why Join All Options?

At All Options we offer a dynamic collaborative environment where ambition is rewarded and growth is real. Enjoy a competitive salary, bonus opportunities, 25 days PTO, paid medical, dental, and vision benefits package, 401(k) employer sponsored contributions, and in-house meals and snacks. And because wins deserve celebrating, we bring the team together for monthly drinks and festivities. Join us and help shape what's next!


Apply Now!

If this sounds like your next challenge, submit your resume and cover letter. Our team will carefully review your application and will contact you if you meet the requirements.


All applicants must be currently authorized to work in the United States.


This role is not eligible for visa sponsorship.


Equal Opportunity Employer

All Options is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information or any other protected status under applicable law. All employment decisions are based on qualification, merit, and business need.