ZipRecruiter

Log In

1

Algorithmic Trading Jobs in Connecticut (NOW HIRING)

RANPAK

Automation Solutions Engineer

Shelton, CT

Utilize tools (bin-packing algorithms) to demonstrate solution performance and value. * Present solution concepts, technical trade-offs, and value propositions to both technical and executive ...

Ranpak

Automation Solutions Engineer

Shelton, CT · On-site

Utilize tools (bin-packing algorithms) to demonstrate solution performance and value. * Present solution concepts, technical trade-offs, and value propositions to both technical and executive ...

Ranpak

Automation Solutions Engineer

Shelton, CT · On-site

Utilize tools (bin-packing algorithms) to demonstrate solution performance and value. * Present solution concepts, technical trade-offs, and value propositions to both technical and executive ...

RELX

Senior Data Scientist II

Norwalk, CT · On-site +1

$175K - $183K/yr

Propose and identify trade-offs of various algorithmic solutions. Interface with other technical personnel or team members to finalize requirements. Work closely with other development team members ...

Interactive Brokers

Software Developer - C++

Greenwich, CT · On-site

$55 - $74/hr

The Brokerage System Development Team that is responsible for providing trading and related backend ... In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency

Solomon Page

Software Developer - C++

Greenwich, CT · On-site

$200K - $220K/yr

The Brokerage System Development Team that is responsible for providing trading and related backend ... In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency

next page

Showing results 1-20

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Connecticut

Algorithmic Trading information

See Connecticut salary details

$70.9K

$81.6K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Jun 14, 2026, the average yearly pay for algorithmic trading in Connecticut is $81,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $86,600.00 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.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and offers opportunities in finance firms, hedge funds, and proprietary trading firms, but it requires strong technical skills, continuous learning, and risk management expertise.

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.

How much do Algo traders make?

Algorithmic traders' salaries vary based on experience, location, and performance, but they typically earn from $80,000 to over $200,000 annually. Successful traders with strong quantitative skills and advanced programming knowledge can earn significantly more through bonuses and profit sharing. Compensation often includes base salary, performance incentives, and benefits, especially in financial firms or hedge funds.

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.

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.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.
More about Algorithmic Trading jobs
What are the most commonly searched types of Algorithmic Trading jobs in Connecticut? The most popular types of Algorithmic Trading jobs in Connecticut are:
What are popular job titles related to Algorithmic Trading jobs in Connecticut? For Algorithmic Trading jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Connecticut look for? The top searched job categories for Algorithmic Trading jobs in Connecticut are:
Algorithmic Trading jobs near you
Lead Trading Systems Engineer (USA)

Lead Trading Systems Engineer (USA)

Trexquant Investment

Stamford, CT • On-site

$175K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 19 days ago

Job description

Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms.

Responsibilities

  • Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm’s Order Management System (OMS).
  • Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives.
  • Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security.
  • Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap.
  • Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading.
  • Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable.
  • Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments.
  • Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices.

Requirements

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field.
  • 6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments.
  • Expert-level proficiency in one of these programming languages: C++ (C++17/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++.
  • Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments.
  • Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies.
  • Experience designing or supporting OMS, execution, or comparable trading infrastructure.
  • Excellent communication skills and ability to collaborate effectively across engineering and research teams.
  • Financial industry experience is a plus, but not required.

Benefits

  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals

Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.

The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer