Account Manager at IBM
Discover a rewarding Account Manager position at IBM, remote-friendly. Start your next chapter at IBM.

IBM has an open Quantitative Analyst position — a chance to work with a talented team on meaningful work. This is a fully remote-friendly position, giving you flexibility to work from anywhere.
IBM develops and manufactures computer hardware, middleware, and software, providing cloud computing, AI, and consulting services.
As a Quantitative Analyst at IBM - ML at IBM, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.
IBM is based in New York, and this role offers remote flexibility. You will have the opportunity to work from home or any location with a reliable internet connection, while staying connected with your team through regular video calls and collaboration tools.
You will join a team of 24 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.
Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.
IBM supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.
This position is based in New York. Remote work is available for this role, with flexibility to work from home or any location with a reliable internet connection.
If you are ready to make an impact at IBM, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.
Yes, this Quantitative Analyst role at IBM offers remote work flexibility.
The salary range for this position is USD 101,493 - 101,493 per year, depending on experience.
IBM is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.
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