Cashera is a technology-driven fintech funding platform across the United States. With over $1 billion funded across its group's portfolio, Cashera combines technology, data, and industry know-how to deliver fast, flexible finance solutions for small and medium-sized enterprises.
Job Summar
yWe are looking for a motivated and results-driven Attorney licensed in both Florida and New York to join our legal team. This role is suited for a proactive, assertive professional who excels in a fast-paced environment and has experience in finance or within a financial services company
.
The successful candidate will work closely with senior leadership and play a key role in managing legal matters, supporting business operations, and contributing to strategic decision-making. This position offers the opportunity to gain hands-on experience in fintech law while working in a dynamic and growth-focused environmen
t.
Key Responsibilit
- iesDraft, review, and negotiate legal documents, including contracts, agreements, and pleadi
- ngsConduct in-depth legal research on federal and state laws, regulations, and case
- lawProvide legal guidance to internal teams on regulatory, compliance, and operational matt
- ersRepresent the company in client interactions, negotiations, and, when required, legal proceedi
- ngsSupport case strategy and assist in managing ongoing legal matt
- ersPrepare legal correspondence, reports, and internal documentat
- ionMaintain and organize legal files, ensuring accurate and up-to-date reco
- rdsMonitor and stay current on changes in relevant laws, regulations, and industry best practi
- cesCollaborate cross-functionally with business, compliance, and operational te
- amsContribute to a fast-moving, results-driven team environm
ent
Requirem
- entsActive membership in both the Florida Bar and New York Bar (requi
- red)High level of organization and ability to manage multiple priori
- tiesAbility to work independently and take initiative in a fast-paced environ
- mentStrong work ethic with a hungry, aggressive, and results-driven min
dset