Skip to content
NEXTMOVEFDE careers · United States

Legal Operations Analyst

Job description

The full responsibilities and requirements are on the employer’s site.

Open application page
Source and classification

Internal deployment & tooling · Evidence for this classification:

and innovation. In addition to providing superb legal advice, our team focuses on building deep relationships to add value to our investment process. Position Description The Legal Operations Analyst will design, maintain, and enhance systems and tools that support legal operations, with a strong emphasis on data integrity, analytics and reporting, automation, generative AI, and process optimization. This role supports the legal and regulatory team’s work on trading, transactions, risk and assurance, and compliance matters related to our diverse public and private portfolio. This role bridges the gap between legal and technical domains and is ideal for someone who has worked inside legal workflows, is proficient in Power BI, and actively experiments with AI tools. The analyst will be responsible for developing and managing workflows, legal datasets, and scalable solutions that improve
More from the job description

Cascade Asset Management Company (“Cascade”) is proud to protect and grow capital in service of Bill Gates and the Gates Foundation Trust in support of their mission-related and philanthropic activities. Mr. Gates and the Foundation Trust are committed to creating a world where every person has the opportunity to live a healthy, productive life. Located in the Seattle area, Cascade applies its fundamental, long-horizon investment approach across asset classes and geographies, primarily through direct investing, as well as through a select group of funds and segregated accounts. Cascade offers the unique blend of being part of a team that manages a multi-billion-dollar portfolio while also working with professionals in a culture that values intellectual curiosity, collaboration, and respect. Team Description Our 19-person legal and regulatory team prioritizes collaboration, creativity, and innovation. In addition to providing superb legal advice, our team focuses on building deep relationships to add value to our investment process. Position Description The Legal Operations Analyst will design, maintain, and enhance systems and tools that support legal operations, with a strong emphasis on data integrity, analytics and reporting, automation, generative AI, and process optimization. This role supports the legal and regulatory team’s work on trading, transactions, risk and assu [... source excerpt omitted ...] mprove efficiency and support Cascade’s legal and compliance efforts. This role collaborates cross-functionally with legal, technology, and other investment operations teams. Key Responsibilities Data & Reporting: Build and maintain Power BI dashboards, data models, and reporting that give the legal team and leadership visibility into legal, compliance, and risk and assurance data Legal Tech Systems: Oversee systems and processes for various legal data and workflows, including knowledge management, trade support, regulatory compliance, employee trading, vendor contracts, enterprise risk management, assurance, and more. Administer, populate, and report from multiple databases that c [... source excerpt omitted ...] demonstrations, user guides, and feedback loops, and track and report adoption and outcomes Project Management: Participate in and manage legal and cross-department projects How You'll Work You will work on systems and projects end-to-end, from scoping through delivery. Much of your work may start out underspecified, as a problem with no established process, incomplete data, and no obvious owner, and you will be expected to figure out the path forward. We are looking for someone who: Can take a problem and run with it, applying genuine curiosity and practical judgment to make reasonable calls with sometimes imperfect information, while seeking guidance when required and esca

How jobs are selected

Employer postings · Data from · Sources