1

Algorithmic Trading Jobs in Connecticut (NOW HIRING)

This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance. In this role ...

This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance. In this role ...

About BestEx Research BestEx Research is an award-winning, high-growth, profitable algorithmic trading technology fintech company that executes over a trillion dollars in notional volume ...

About BestEx Research BestEx Research is an award-winning, high-growth, profitable algorithmic trading technology fintech company that executes over a trillion dollars in notional volume ...

Cutting edge technology including access to multiple trading platforms, 'dark' and 'lit' execution venues, plus black box/algorithmic systems * Daily trading reviews with experienced traders for ...

next page

Showing results 1-20

Algorithmic Trading information

See Connecticut salary details

$70.9K

$81.6K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Aug 5, 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.

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.

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.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

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.
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:
Infographic showing various Algorithmic Trading job openings in Connecticut as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $81,572 per year, or $39.2 per hour.

Electronic Trading Coverage, APAC

BestEx Research

Stamford, CT โ€ข On-site

Full-time

Re-posted 14 hours ago


Job description

About BestEx Research
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides its services to performance-demanding hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
BestEx Research's mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities, futures, and foreign exchange that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algo customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for Global equities and global futures trading.
BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. Visit bestexresearch.com for more information about our mission, products, research, and services.
Responsibilities -
  • Based in Stamford, CT, you will work evening hours (6 pm-3 am ET) to provide daily coverage for Equities and Futures electronic trading clients active in Asian markets.
  • Manage real-time client execution oversight and relationship management, maintaining consistent, proactive dialogue with key trading personnel.
  • During incidents or outages, lead issue escalation to development teams, manage trading risk, and coordinate clear client communication.
  • Partner with the technology team to identify monitoring and alerting gaps and recommend improvements.
  • Define, track, and report key performance benchmarks that drive client success.
  • Deepen client relationships through proactive product insights, content, and exceptional execution support.
  • Lead beta testing of new trading systems and algorithmic features and introduce relevant enhancements to clients

Requirements
    • 5+ years of experience in covering Equities or Futures electronic trading with institutional clients.
    • Understanding of execution algorithms and market structure. Ability to pick up knowledge on the new markets quickly.
    • Strong interpersonal, communication and presentation abilities, with the ability to explain technical concepts to non-technical stakeholders.
    • Ability to multi-task and perform effectively under pressure.
    • Solid understanding of APAC equity and/or Futures market structure.
    • Active Series 7, 3 or 63.
    • Bachelor's degree (4-year college)