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Remote Algorithmic Trading Quant Jobs in Middletown, CT

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

... related quantitative field; Master's degree preferred. * 7+ years of experience in product ... Strong understanding of data science methodologies, machine learning algorithms, and big data ...

M, F remote). Responsibilities: * Monitor and analyze risk across The Hartford's Structured Product ... Degree in a quantitative discipline required; professional designations such as CFA or FRM ...

Remote Algorithmic Trading Quant information

See Middletown, CT salary details

$53.2K

$120.7K

$199K

How much do remote algorithmic trading quant jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote algorithmic trading quant in Middletown, CT is $120,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $154,400.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What are popular job titles related to Remote Algorithmic Trading Quant jobs in Middletown, CT?

For Remote Algorithmic Trading Quant jobs in Middletown, CT, the most frequently searched job titles are:

What job categories do people searching Remote Algorithmic Trading Quant jobs in Middletown, CT look for?

The top searched job categories for Remote Algorithmic Trading Quant jobs in Middletown, CT are:

Sr. Product Owner, Data Science

Hartford, CT • On-site, Remote


The Hartford Financial Services Group, Inc.
Finance and Insurance • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

55th of 311 rated insurance

Good employer

Recommended by students

Paid breaks


$111K - $166K/yr

Full-time

Posted 5 days ago


Job description

Sr. Consultant, Asset Owner - GF07AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
We are seeking a highly experienced and strategic Sr. Product Owner to lead the development and enhancement of our data science products and platforms. This role will bridge the gap between business needs and technical execution, ensuring our data science initiatives deliver maximum value to The Hartford.
Job Responsibilities:
  • Define and communicate the product vision, strategy, and roadmap for data science initiatives, aligning with company-wide goals and stakeholder requirements.
  • Translate complex business problems and user needs into clear, concise, and actionable product requirements and user stories for data scientists and engineers.
  • Prioritize the product backlog based on business value, technical feasibility, and strategic impact, ensuring a continuous delivery of high-value features.
  • Collaborate closely with data scientists, machine learning engineers, and other technical teams throughout the product lifecycle, from ideation to deployment and post-launch analysis.
  • Conduct market research, competitor analysis, and customer feedback analysis to identify opportunities for new data products and enhancements to existing ones.
  • Act as the primary liaison between business stakeholders, data science teams, and other relevant departments, ensuring clear communication and alignment.
  • Define and track key performance indicators (KPIs) for data science products, analyzing performance and iterating based on results.
  • Champion agile methodologies and best practices within the data science product development process.
  • Mentor and guide junior product owners or business analysts on data science projects.
  • Stay abreast of industry trends, emerging technologies, and best practices in data science and product management.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field; Master's degree preferred.
  • 7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products.
  • Proven track record of successfully launching and managing data-driven products from conception to end-of-life.
  • Strong understanding of data science methodologies, machine learning algorithms, and big data technologies.
  • Experience with agile development methodologies (Scrum, Kanban) and associated tools (Rally).
  • Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to influence and lead cross-functional teams without direct authority.
  • Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
  • Experience in the insurance or financial services industry is a significant plus.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$111,200 - $166,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

Social media


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

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