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Weekend Algorithmic Trading Quant Jobs in Texas (NOW HIRING)

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

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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 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 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 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:
Infographic showing various Weekend Algorithmic Trading Quant job openings in Texas as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.
Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Goldman Sachs, Inc.

Dallas, TX • On-site

Other

Posted 26 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Overview: 

The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with traders, portfolio managers, and other stakeholders to streamline reporting identify areas where quantitative analysis can provide insights and support decision-making. 

Key Responsibilities:

  • Coverage all aspects of private business, with focus on validation, streamlining and reporting for illiquid and semi-liquid funds
  • Develop and implement quantitative models and algorithms to support trading and investment strategies
  • Conduct statistical and mathematical analysis of financial data to identify patterns and trends
  • Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
  • Communicate results and findings to stakeholders in a clear and concise manner
  • Stay current with industry developments and new technologies

Qualifications:

  • Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.
  • Strong programming skills in at least one language such as Python, C++ or Java
  • Strong understanding of mathematical and statistical concepts, especially in finance
  • Strong problem-solving skills and the ability to think critically
  • Excellent communication skills and the ability to work well in a team environment
  • Experience and interest in financial markets, risk management and portfolio management

Experience:

  • Minimum of 2+ years of experience in a quantitative role in a financial services company
  • Background in equity or credit preferred
  • Full stack development or Secdb/Slang experience preferred
 
 
ABOUT GOLDMAN SACHS
 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 
 
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869