Partnerships Counsel at Pagaya

New York, New York, United States

Pagaya Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Financial ServicesIndustries

Requirements

  • Seasoned and strategic lawyer with expertise in legal and regulatory matters in fintech and consumer credit
  • Business-minded with comprehensive understanding of Pagaya’s core business and financing principles
  • Experience in negotiation and drafting of legal agreements for partnership arrangements, loan sales, and servicing of financial assets
  • Proactive, collaborative self-starter with excellent judgment
  • Comfortable operating at strategic and tactical levels, providing clear, actionable advice to executives and teams
  • Strong social and communication skills for engaging with employees and management at all levels
  • Passion for business growth and excitement for working in a legally complex global fintech environment
  • Ability to stay informed about regulatory changes in consumer lending and credit products

Responsibilities

  • Serve as the primary legal advisor for product development, marketing initiatives, and new features, ensuring compliance with relevant laws and regulations in the fintech and consumer credit space
  • Act as a strategic partner to the business team in drafting, reviewing, and negotiating commercial agreements related to the acquisition and servicing of various asset classes
  • Build, analyze, and structure complex partnerships
  • Advise on all aspects of marketing and advertising, with deep expertise in digital and direct mail campaigns, to mitigate legal and regulatory risks
  • Collaborate cross-functionally with Risk, Product, and Partnerships teams to shape and execute compliant, high-performance programs
  • Stay informed about regulatory changes affecting consumer lending and credit products to proactively identify and address legal risks
  • Provide clear, actionable legal advice to a variety of stakeholders, balancing legal risk with business objectives

Skills

Contract Negotiation
Legal Drafting
Partnership Agreements
Consumer Lending
Regulatory Compliance
Loan Servicing
Financing Principles
Direct Mail Campaigns

Pagaya

AI-driven asset management for institutions

About Pagaya

Pagaya specializes in managing institutional money through the use of artificial intelligence. The company focuses on the asset management market, particularly in creating asset-backed securities (ABS). Its products work by utilizing advanced machine learning and big data analytics to identify profitable opportunities in complex financial markets. By collaborating with tech-enabled firms, Pagaya enhances its understanding of consumer behavior, which is crucial for credit markets. Unlike its competitors, Pagaya actively manages ABS with AI, offering a distinct advantage to institutional investors. The company's goal is to issue and manage ABS effectively, as evidenced by its achievement of over $1 billion in ABS issuance within a year and a half, showcasing its growth and capability.

New York City, New YorkHeadquarters
2016Year Founded
$480.7MTotal Funding
IPOCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
501-1,000Employees

Benefits

Health Insurance
Paid Vacation
Flexible Work Hours

Risks

Integration challenges from Tally acquisition may impact strategic goals.
Rapid expansion through acquisitions could strain resources and efficiency.
Increased competition from AI-driven companies like Rocket Companies threatens market position.

Differentiation

Pagaya uses AI and big data to manage institutional money effectively.
Pagaya Pulse platform offers a scalable performance edge with state-of-the-art algorithms.
Pagaya specializes in alternative credit markets, providing unique financial products.

Upsides

Pagaya raised $1 billion in ABS deals, showing strong capital market demand.
Acquisition of Tally's tech enhances Pagaya's embedded finance solutions.
Pagaya's strategic Advisory Board aims to accelerate business expansion.

Land your dream remote job 3x faster with AI