Special Executions Group - Data Analytics Analyst (NY)
Financial Technology Partners
| Company | Financial Technology Partners |
| Category | Data & Analytics |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 11 Mar 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
2026 Special Executions Group - Data Analytics Analyst (NY)
Position: Financial Technology Partners (“FT Partners”) is seeking Data Analytics Analysts for its Special Executions Group (“SpecialX”).
Firm Overview
FT Partners is one of the most successful boutique investment banks on Wall Street. Headquartered in San Francisco with offices in NYC and London, FT Partners has advised on some of the most significant transactions in the Financial Technology (“FinTech”) sector. FT Partners offer a full suite of financial and strategic advisory services, including M&A advisory, private capital raising and capital markets advisory. The FinTech sector is a dynamic industry that encompasses the convergence of financial services and technology. FT Partners is a 250+ banker global firm that prides itself on having an extremely collegial and energetic culture.
Role Description
SpecialX is FT Partners’ quantitative and analytical engine. We support and work alongside the investment banking teams, but our focus is different. We go deep into the numbers to make sure every analysis we produce can stand up to the scrutiny of investors during buyer diligence.
Data analytics analysts focus on analyzing complex datasets to uncover insights that support investment theses, validate growth initiatives, and ensure the credibility of financial KPIs and narratives presented to investors.
Data analytics analysts develop strong financial and analytical skills while working on live capital raise and sale transactions. Analysts will gain hands-on experience working with large datasets using tools such as SQL, Python, Excel, Tableau, and Alteryx, while learning how to translate complex data into clear and compelling insights for investors and clients.
Key Responsibilities
Work closely with investment bankers and clients to understand business drivers and data structures
Analyze large financial datasets to develop data-led narratives driving company growth and performance
Lead core financial workstreams including cohort analysis, retention analysis, unit economics analysis, sales efficiency analysis, and other growth initiatives validation
Build data visualizations, models, and reporting to communicate key findings to clients and investors
Identify new analytical approaches and frameworks to enhance the team’s ability to analyze business models and operating performance
Support and mentor junior analysts in the execution of workstreams
General Qualifications
Major in Data Science, Analytics, Quantitative Finance, Statistics, or other quantitative major required
1-3 years of experience in transaction analytics, SaaS / FinTech data analytics or a related business / data analytics role
Prior experience supporting M&A transactions, due diligence, or deal-related analytics strongly preferred
Strong knowledge of core finance & accounting concepts required
Experience with SQL, Python, R, PowerPivot, Tableau, or Alteryx required
Permanent U.S. work authorization required. FT Partners will not sponsor applicants for work visas at application or in the future
Business and Technical Skills
Strong proficiency in Excel
Advanced data analytics and financial analysis skills
Excellent problem-solving ability and intellectual curiosity
Ability to work with large datasets and complex analytical problems
Excellent attention to detail and commitment to accuracy
Demonstrated ability to learn new technical tools and analytical techniques
Communications
Strong writing and verbal communication skills
Ability to articulate methods and results of complex analyses
Ability to manage multiple high priority tasks and initiatives
Prepares high impact materials
Participates effectively in both internal and external meetings
Team Player
Able to collaborate across teams and levels, both internally and externally
Builds