

GQR
Business Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst with 5+ years in financial services, focusing on AI/ML products. Contract length is unspecified, with a competitive pay rate. Key skills include UAT, stakeholder management, and familiarity with Databricks, SQL, and Python.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
-
ποΈ - Date
April 17, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#AI (Artificial Intelligence) #UAT (User Acceptance Testing) #Business Analysis #SQL (Structured Query Language) #ML (Machine Learning) #Data Science #BI (Business Intelligence) #Python #Databricks
Role description
Weβre hiring a sharp, hands-on Business Analyst- delivering AI, machine learning, and data products to front-office stakeholders, with additional exposure to the firmβs Enterprise Data Platform.
This is not a passive BA role. Youβll operate at the intersection of data science and investment banking, translating loosely defined business needs into actionable requirements, owning UAT, and driving outcomes in a fast-paced, high-impact environment.
What youβll do:
β’ Partner with bankers and data scientists to shape AI/ML product requirements
β’ Own UAT end-to-end (test plans, execution, issue resolution)
β’ Act as the bridge between technical teams and front-office stakeholders
β’ Support firmwide data demand intake and prioritization
What weβre looking for:
β’ 5+ years as a BA in financial services (front-office exposure required)
β’ Experience supporting AI/ML or data-driven products
β’ Strong stakeholder management + ability to operate in ambiguity
β’ Familiarity with data platforms like Databricks, BI tools, and/or SQL/Python is a plus
β’ If youβre someone who brings structure to ambiguity and thrives in fast-moving environments, this is a high-visibility role with real impact.
Weβre hiring a sharp, hands-on Business Analyst- delivering AI, machine learning, and data products to front-office stakeholders, with additional exposure to the firmβs Enterprise Data Platform.
This is not a passive BA role. Youβll operate at the intersection of data science and investment banking, translating loosely defined business needs into actionable requirements, owning UAT, and driving outcomes in a fast-paced, high-impact environment.
What youβll do:
β’ Partner with bankers and data scientists to shape AI/ML product requirements
β’ Own UAT end-to-end (test plans, execution, issue resolution)
β’ Act as the bridge between technical teams and front-office stakeholders
β’ Support firmwide data demand intake and prioritization
What weβre looking for:
β’ 5+ years as a BA in financial services (front-office exposure required)
β’ Experience supporting AI/ML or data-driven products
β’ Strong stakeholder management + ability to operate in ambiguity
β’ Familiarity with data platforms like Databricks, BI tools, and/or SQL/Python is a plus
β’ If youβre someone who brings structure to ambiguity and thrives in fast-moving environments, this is a high-visibility role with real impact.






