ducerapartners
Data Engineer - New York
At a Glance
- Location
- New York, United States
- Employment
- employment_required
- Experience
- 4–6 years
- Compensation
- ted annual base salary range: $125,000 - $150,000 The annual base salary range
- Posted
- 2026-03-25T16:27:45-04:00
Key Requirements
Required Skills
Domain Knowledge
- Banking
- Finance
- Medical
Requirements
Experience turning complex data into clear, actionable insights for senior stakeholders including though automated reporting solutions
Intellectual curiosity about AI including applications in financial services and a practical interest in experimenting with new tooling including AI/data platforms
Investment Banking Candidates:
Information on what is measured by the assessment, Suited’s data retention policies, and how to request a reasonable accommodation may be found here:
Resource Guide for Investment Banking Candidates
IB Assessment - Predictor 13A
Responsibilities
We are seeking a Data Analyst to partner closely with investment bankers and senior leadership across the firm to design and implement AI, machine learning, and analytic solutions that enhance how the firm analyzes opportunities, generates client materials, and supports decision-making.
This role sits at the intersection of applied AI, finance, and analytics.
The ideal candidate will also have a strong financial background and a practical understanding of investment banking workflows, including how bankers analyze companies, prepare client materials, manage deal processes, conduct diligence, track buyers and investors, coordinate workstreams, and produce high-quality deliverables under tight deadlines.
Partner directly with investment bankers to understand workflows and identify high value use cases for incorporating AI tools and process automation to reduce manual work and improve the quality of client deliverables.
Design, prototype, and implement tools including AI-powered applications, workflow automation, and data-driven systems that support deal execution, client delivery, and firm-wide decision-making.
Work across structured and unstructured financial, market, and proprietary client data to drive insights and power firm-wide tools and applications.