Full-Time
Fintech Research Analyst
Financial Technology Partners
201-500 employees
FinTech-focused investment banking and advisory
No salary listed
No H1B Sponsorship
San Francisco, CA, USA
Hybrid
Hybrid role: 3 days in office and 2 days work from home.
 Finance & Banking (1) |
|---|
- The start date for this position is immediate
- 1 – 3 years experience
- All degrees considered, Finance, Economics or Accounting preferred
- GPA 3.30 or greater
- Strong interest in finance, consulting, research, and FinTech
- Exceptional writing and verbal communication skills
- Strong work ethic and a drive for excellence
- Team player, self-motivated, and entrepreneurial
- Strong project management and research skills
- High attention to detail
- U.S. work authorization required. FT Partners will not sponsor applicants for work visas at application or in the future.
- Research key FinTech sectors, regions, trends and significant M&A and private company capital raising transactions
- Create high-quality / high-visibility reports utilizing both effective written and graphical presentation skills
- Thoroughly edit and review content to ensure publishing and journalistic standards
- Maintain and manage proprietary database of FinTech companies and transactions and develop key analysis using the data
- Create and assist in the execution of marketing strategies for the firm and facilitate dialog with key internal stakeholders and external CEO/CFO/Board level contacts
- Develop subject matter expertise in the FinTech industry
- Learn and apply basic financial analysis concepts and skills
- Gain valuable first-hand experience with Investment Banking concepts and exposure to senior level investment banking team members
FT Partners concentrates on investment banking for the financial technology (fintech) sector. It helps fintech companies and related firms with strategic and financial advisory services, including mergers and acquisitions, financing, and other deal-related advice, delivered by senior bankers with deep fintech and M&A experience. The firm stands apart by focusing exclusively on fintech, leveraging a team built from top firms and notable deal history to provide highly specialized guidance, and by earning industry recognition for its dealmaking and advisory work. The goal is to maximize value for fintech clients’ shareholders through informed, experienced advice and successful transactions.
Company Size
201-500
Company Stage
N/A
Total Funding
$437.9M
Headquarters
San Francisco, California
Founded
2001
Simplify's Take
What believers are saying
- FT Partners leads $75M Series A in Model ML on November 24, 2025.
- FT Partners enters multi-year AI design partnership with Model ML.
- FT Partners recognized as Dealmaker of the Year by The M&A Advisor.
What critics are saying
- Model ML $75M investment fails without ARR or pilots, causing capital loss in 12-24 months.
- Y Combinator fintech failures erode FT Partners investor confidence in 18-36 months.
- Fintech consolidation lets QED Investors bypass FT Partners, cutting 20-30% M&A volume in 24-36 months.
What makes Financial Technology Partners unique
- FT Partners exclusively focuses on financial technology investment banking.
- FT Partners publishes comprehensive FinTech deal activity data via Quarterly Insights and Annual Almanac.
- FT Partners advises on major FinTech transactions like Forge's $2B SPAC merger.
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People at Financial Technology Partners who can refer or advise you
Benefits
Professional Development Budget
Company News
Y Combinator joins $75m round in US AI startup Model ML. Model ML, an AI startup based in London and New York, has raised US$75 million in early-stage funding led by FT Partners, with participation from Y Combinator, QED Investors, 13Books Capital, and LocalGlobe. Model ML will use the new funds to expand its teams in San Francisco, New York, London, and Hong Kong, and to hire more AI engineers. The company, founded about a year ago by Chaz and Arnie Englander, develops technology designed to automate tasks often handled by investment bankers, such as preparing pitch decks and due diligence reports. The startup previously raised US$12 million earlier this year but did not disclose its valuation for either round. Model ML's advisory board includes former HSBC CEO Noel Quinn and ex-UBS chairman Axel Weber. The firm has relocated its engineering team to London's King's Cross area, citing cost considerations. Food for thought. * Model ML raised $75M at an undisclosed valuation with little proof of banks in production or pilots. Endorsements from former HSBC CEO Noel Quinn and ex-UBS chair Axel Weber do not confirm deployments or revenue. * The 'Trusted by Industry Leaders' banner stays vague without names. The company has not disclosed Annual Recurring Revenue (ARR), named paying banks, or measured gains such as time saved per deal or accuracy lifts. * The team moved engineering to London's King's Cross for cost control. That move signals a focus on burn rate (its cash spend rate) while $75M must cover four offices and product-market fit in a cautious banking sector. * Model ML focuses on single-tenant (each bank gets an isolated instance), self-hosted (software runs inside the institution's environment) deployments inside a customer's Azure setup (Microsoft's cloud platform). This creates demand for cloud infrastructure and AI governance platforms (tools to manage model risk plus compliance). Compliance automation vendors can add evaluation frameworks, model monitoring, or data residency solutions (keeping data in specific jurisdictions). * The startup lets users query third-party data vendors like PitchBook and Crunchbase in natural language plus real-time as well as proprietary datasets. Middleware (software that connects disparate systems) and Application Programming Interface (API) management help run GenAI across fragmented data stacks without compromising security or auditability. Model ML offers no-code workflows, which means engineers do not write software. IT teams want quick time-to-value with fast deployment that avoids multi-year rollouts while minimizing technical debt (the downstream cost of maintaining quick, short-term fixes). How would you feel if you could no longer use Tech in Asia?
Model ML, an AI startup, raised $75 million to develop technology aimed at automating tasks typically performed by investment bankers, such as creating pitch decks and due-diligence reports. The funding round was led by FT Partners and included investors like Y Combinator Inc., QED Investors, 13Books Capital, and LocalGlobe. The company, based in London and New York, previously raised $12 million earlier this year but did not disclose its valuation in either round.
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