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Weekend Algorithmic Trading Quant Jobs in Connecticut

Citadel

$4.5K - $5.8K/wk

Quantitative Researcher Analysts play a key role in this mission by developing next-generation ... algorithms into code * Back test and implement trading models and signals in a live trading ...

DRW

Research Engineer (FICCO) (Greenwich)

Greenwich, CT · On-site

$175K - $225K/yr

... quantitative researchers, and traders. Your team will work closely to solve challenging ... A strong understanding of object oriented design, data structures and algorithms * A strong ...

Citadel

$4.5K - $5.8K/wk

... trading approaches for a range of investment strategies ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

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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 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 Connecticut?

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

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

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

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

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

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

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

Weekend Algorithmic Trading Quant jobs near you
Infographic showing various Weekend Algorithmic Trading Quant job openings in Connecticut as of August 2026, with employment types broken down into 2% As Needed, 65% Full Time, 27% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Quantitative Research Analyst, Smart Execution

Graham Capital Management, L.P.

Norwalk, CT • On-site

$175K - $250K/yr

Full-time

Medical, Life, Retirement

Re-posted 26 days ago

Key responsibilities

  • Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX

  • Perform market microstructure research to develop trading signals and understand execution costs

  • Understand, measure, and evaluate the performance of internal and broker execution algorithms

Job description

Description

Graham Capital Management, L.P. is seeking a Quantitative Research Analyst with a specialization in Smart Execution and intraday trading signals to join our Quantitative Strategies team. The role is an excellent opportunity for a quantitative researcher to diversify their experience and join a dynamic team in a high-impact role.

Responsibilities

  • Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX
  • Perform market microstructure research to develop trading signals and understand execution costs
  • Understand, measure, and evaluate the performance of internal and broker execution algorithms
  • Collaborate with other team members to implement execution and intraday strategies and proactively provide feedback and ideas for improving our systems and processes
Requirements
  • MS or PhD in a quantitative field such as science, engineering, or finance
  • 3+ years of related experience at a bank, asset management, hedge fund, or prop trading firm
  • Successful track record of developing intraday alpha signals or execution algos in the Futures or FX space
  • Experience working with tick/order book data, microstructure signals, analyzing large datasets, and developing predictive statistical models
  • Advanced programming skills in languages suited for quantitative research and strategy implementation - preferably Python and C++
  • Experience with execution algos and intraday systematic strategies preferred
  • Exposure to machine learning and high-performance computing would be helpful in this role
  • Experience with options trading algorithms is a plus

This role requires commuting into our Rowayton CT office Mondays through Fridays.

Base Salary Range

The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham's sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

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