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Weekend Algorithmic Trading Quant Jobs in Texas (NOW HIRING)

... quantitative pricing and trading algorithms, contribute directly to PnL, and drive the evolution of new and existing strategies. You bring strong market intuition, a quantitative mindset, and a ...

For quant researchers looking to grow fast and make an immediate impact, there is no better place ... Designing and building automated trading and position management algorithms * Enhancing pricing ...

For quant researchers looking to grow fast and make an immediate impact, there is no better place ... Designing and building automated trading and position management algorithms * Enhancing pricing ...

Contribute to Risk & Trading's in-house long-term price forecasts - incorporating market ... This encompasses device communications with balancing authorities, telemetry analysis, algorithms ...

Quantitative Trader

Austin, TX · On-site

$180 - $300/hr

Contribute to Risk & Trading's in-house long-term price forecasts - incorporating market ... This encompasses device communications with balancing authorities, telemetry analysis, algorithms ...

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

Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and ... trading strategies. Preferred * Experience in quantitative finance, risk management, or related ...

Showing results 21-40

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.

Delta One Trader

All Options

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

All Options is seeking a Delta One Trader to join our Quant team in Austin, TX. In this role, you will develop and enhance quantitative pricing and trading algorithms, contribute directly to PnL, and drive the evolution of new and existing strategies. You bring strong market intuition, a quantitative mindset, and a collaborative approach, enabling you to perform in a fast-paced trading environment.
This is a unique opportunity to join a fast-growing market making business as we expand in the US. We are entering new markets with ambition - focused on innovation, impact, and leading from the front.
Key Responsibilities:
  • Contribute to the development and enhancement of proprietary execution algorithms and intraday portfolio management systems.
  • Own the end-to-end development of systematic, mid to high-frequency trading strategies within the Delta One space, from research and design through to implementation and execution.
  • Develop a strong understanding of strategy performance and actively drive measurable impact on PnL.
  • Collaborate closely with traders and developers to deliver robust research insights and reliable production systems.
  • Provide coaching and constructive feedback to junior researchers and traders, supporting their development.
  • Contribute to a collaborative, high-performance culture with a strong sense of ownership and accountability.

Key Requirements
  • Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, or Physics.
  • 2-4 years of experience in a quantitative role (e.g. trading or research) within a proprietary trading firm or hedge fund, ideally with exposure to Delta One strategies and/or options market making.
  • Solid understanding of options theory.
  • Proficiency in programming (e.g. Python, C++, or similar).
  • Strong analytical skills, attention to detail, and a continuous improvement mindset.
  • Results-oriented, with the ability to prioritize effectively in a fast-paced environment.
  • Strong communication skills and the ability to work effectively in a team.

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 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.