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Remote Quant Finance Jobs in Connecticut (NOW HIRING)

DataAnnotation

Quantitative AI Trainer

Hartford, CT · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

DataAnnotation

Quantitative Strategist

Hartford, CT · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

DataAnnotation

Growth Analyst - AI Trainer

Hartford, CT · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

DataAnnotation

Physicist - AI Trainer

Hartford, CT · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

DataAnnotation

Data Science Consultant

Hartford, CT · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

Prudential

Associate Actuary

Hartford, CT · On-site +1

$114.50K - $188.90K/yr

Primary work arrangement for the position is Hybrid in the Newark, NJ, or Hartford, CT, but remote ... Bachelor's degree in Actuarial Science, Mathematics, Quantitative Finance, or a related field.

DataAnnotation

Epidemiologist - AI Trainer

Hartford, CT · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... finance, physics, biology, epidemiology, operations research, or any adjacent field. Some coding ...

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$93.2K

$161.5K

$246.9K

How much do remote quant finance jobs pay per year?

As of May 28, 2026, the average yearly pay for remote quant finance in Connecticut is $161,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Quant Finance professional, and why are they important?

To thrive as a Remote Quant Finance professional, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a Master's or PhD. Proficiency in programming languages like Python or C++, experience with data analysis tools, and familiarity with financial modeling platforms are essential. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and complex project execution. These skills ensure accurate financial modeling, effective teamwork across locations, and the ability to deliver insights that drive investment strategies.

How does working remotely impact collaboration and communication in a Quant Finance team?

Remote Quant Finance teams rely heavily on digital collaboration tools and regular virtual meetings to maintain effective communication. While you may miss out on spontaneous in-person discussions, many organizations use structured daily stand-ups, shared code repositories, and messaging platforms to ensure transparency and coordinated workflow. It's common to work closely with portfolio managers, data engineers, and other quants, so being proactive in communication and documentation is essential. Building strong relationships virtually can take time, but it also allows for flexible work hours and the ability to contribute from anywhere.

What is a Remote Quant Finance job?

A Remote Quant Finance job involves working in quantitative finance roles, such as quantitative analyst or quantitative developer, while operating from a location outside a traditional office setting. These professionals use mathematical models, statistical techniques, and programming skills to analyze financial data, develop trading strategies, and manage risk for banks, hedge funds, or investment firms. Remote roles allow for more flexible work arrangements and often require strong communication and technical skills, as collaboration happens virtually. The core tasks remain similar to in-office quant roles, focusing on data analysis, model development, and financial research.
What are the most commonly searched types of Quant Finance jobs in Connecticut? The most popular types of Quant Finance jobs in Connecticut are:
What are popular job titles related to Remote Quant Finance jobs in Connecticut? For Remote Quant Finance jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Quant Finance jobs in Connecticut look for? The top searched job categories for Remote Quant Finance jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Quant Finance jobs? Cities in Connecticut with the most Remote Quant Finance job openings:
Remote Quant Finance jobs near you
Infographic showing various Remote Quant Finance job openings in Connecticut as of May 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Contract. Highlights an 6% Physical, and 94% Remote job distribution, with an average salary of $161,461 per year, or $77.6 per hour.
Remote Quantitative AI Trainer | Flexible Hours, $40+/hr

Remote Quantitative AI Trainer | Flexible Hours, $40+/hr

DataAnnotation

Hartford, CT • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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