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Algorithmic Trading Jobs in Connecticut (NOW HIRING)

$4.5K - $5.8K/wk

Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code * Back test and implement trading models and signals in a live ...

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 ...

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 ...

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 ...

Software Engineer III

Greenwich, CT · On-site

$64.50 - $86.75/hr

Through its affiliates, Interactive Brokers provides automated trade execution and custody of ... Optimizing, improving, and supporting existing algorithms and systems to reach the goal of highly ...

Showing results 21-40

Algorithmic Trading information

See Connecticut salary details

$70.9K

$81.6K

$89.4K

How much do algorithmic trading jobs pay per year?

As of Jul 28, 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

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 in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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.
Senior Compliance Officer

Senior Compliance Officer

Millennium Management LLC

Old Greenwich, CT • On-site

Full-time

Posted 11 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Senior Compliance Officer
Position Details
  • Provide ongoing compliance support to WorldQuant Millennium Advisors ("WMA")
  • Conduct ongoing WMA compliance reviews
  • Address compliance-related items for the launches of new WMA funds and separately managed accounts ("SMAs")
  • Assist with regulatory examinations, inquiries, investigations and projects, as necessary
  • Monitor global regulatory changes, updates and industry-wide compliance initiatives
  • Assist with drafting and amending compliance-related policies and procedures
  • Create and implement additional WMA compliance reviews
  • Review marketing materials for WMA funds and SMAs
  • Prepare and conduct compliance trainings

Qualifications/Skills Required
  • 14+ years of experience at a regulatory authority, bank/broker or buy-side firm
  • Investment Management Compliance experience, inclusive of addressing regulatory items related to launching and ongoing compliance oversight of funds and SMAs
  • Experience with addressing algorithmic/systematic trading matters is preferred, with an understanding of model-based trading and investment/execution algorithms
  • Bachelor's degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred
  • Law degree is preferred
  • An understanding of global financial markets, including market structure, is preferred
  • Strong analytical / conceptual problem-solving skills with attention to detail
  • Strong sense of ownership and personal responsibility
  • Ability to prioritize, multi-task, and manage deadlines while successfully completing assignments
  • Strong written and verbal communication skills, as well as the ability to coordinate efforts and projects across teams and departments
  • Ability to create presentation materials for senior management
  • Good team player with a strong willingness to participate and help others

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