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Remote Factset Jobs (NOW HIRING)

Factset

Principal Machine Learning Engineer, YM2026PMLE

$177K - $217K/yr

FactSet Research Systems Inc. , 45 Glover Avenue, 7th Floor, Norwalk, CT 06850. Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in ...

Mondo

Client Delivery Manager

Manhattan, NY · Remote

$80 - $100/hr

Remote (East Coast or Central Time Preferred) Duration: 6-Month (Potential Contract-to-Hire) Pay ... Experience working with Bloomberg, LSEG/Refinitiv, FactSet, ICE, Nasdaq, NYSE, Cboe, or similar ...

Atlas Technica

Team Lead (Remote)

New York, NY · Remote

$90K - $110K/yr

Bloomberg, Thompson Reuters, FactSet, CapIQ * Significant experience in an MSP environment, particularly utilizing the ConnectWise suite of products * Exposure to/ability to support workloads in ...

Atlas Technica

Jr. Systems Engineer (Remote)

Boston, MA · Remote

Bloomberg, Thompson Reuters, FactSet, CapIQ * Experience working in an MSP environment * Support of Sophos or similar product for endpoint threat management * Basic understanding of virtualization ...

Atlas Technica

Team Lead (Remote)

Stamford, CT · Remote

Familiarity with financial market applications such as Bloomberg, Thomson Reuters, FactSet, or Capital IQ. * Significant experience working in a managed service provider environment. * Experience ...

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Remote Factset information

What is a remote FactSet job?

Remote FactSet jobs are positions with FactSet, a global financial data and software company, that allow employees to work from locations outside of the company's physical offices. These roles can include positions in data analysis, software engineering, client support, sales, and more. Working remotely for FactSet offers flexibility and the ability to collaborate with international teams using digital communication tools. FactSet supports remote work arrangements to attract talent from various regions and accommodate work-life balance. Candidates for remote roles should have strong technical skills, self-motivation, and reliable internet connectivity.

What are the key skills and qualifications needed to thrive as a remote FactSet analyst?

To excel as a Remote FactSet Analyst, you need strong analytical skills, financial knowledge, and proficiency in data interpretation, typically supported by a degree in finance, economics, or a related field. Familiarity with the FactSet platform, Excel, and possibly certifications like CFA or FactSet certifications are highly valuable. Excellent attention to detail, problem-solving abilities, and strong communication skills set top performers apart when collaborating virtually. These skills are crucial for delivering accurate financial insights, ensuring effective remote teamwork, and supporting data-driven decision-making for clients.

What are some common challenges faced by remote FactSet analysts, and how can they be addressed?

Remote FactSet analysts often encounter challenges around clear communication and timely access to data when collaborating with global teams. Establishing strong routines for regular check-ins and leveraging collaboration platforms can help maintain workflow efficiency. Additionally, proactively seeking support from technical teams and staying updated with FactSet's product updates can minimize disruptions. Building relationships virtually and clarifying expectations early on are key to thriving in a remote FactSet analyst role.
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Infographic showing various Remote Factset job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Principal Machine Learning Engineer, YM2026PMLE

Factset

Remote

$177K - $217K/yr

Full-time

Posted 15 days ago

Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.


At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.


Position: Principal Machine Learning Engineer

Employer: FactSet Research Systems Inc.

Location: FactSet Research Systems Inc., 45 Glover Avenue, 7th Floor, Norwalk, CT 06850. Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.

Position Description: Principal Machine Learning Engineer, FactSet Research Systems Inc., Norwalk, CT: Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. Work on diverse machine learning models with an emphasis on optimizing techniques for text data classification and natural language processing. Collaborate on projects that leverage AI to transform data insights and enhance domain-specific applications, promoting the integration of various machine learning approaches to achieve superior results. Serve as key technical leader and provide thought leadership on best practices in the field. Engage in cross-functional collaboration with product teams to align AI capabilities with strategic business goals. Role includes staying current with emerging technologies and trends to ensure the continuous improvement and effectiveness of AI solutions. Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.

Minimum Requirements: Master's degree in Computer Science, Mathematics, Statistics, or related technical field and 6 years of related technical experience. Must have 3 years of experience with the following; Node.js; MongoDB; RabbitMQ; a caching technology such as Redis or Memcached; Git; Restful Web Design; working with times series data; Python; Elasticsearch; libraries scikit-learn; Numpy; Spacy; applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain specific text classifications; NLP processing in mining data, cleaning, pre-processing and transformation; combining multiple ML approaches like active/supervised/semi-supervised learning to achieve a better result; and developing tagged data sets.

Salary Offered: $177,000- $217,000/year.

To apply: Apply online at FactSet Careers Search for Jobs for Req Job Number R32928

This position qualifies for the internal FactSet employee referral program.

#LI-DNI and #li-dni

Company Overview:

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify

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