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LinkedIn

Finance Paid Consultant - Covenants & Lender Reporting

LinkedIn

Remote · Договор

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Опыт
7+ лет
Зарплата
USD 135 – USD 135 / hour
Открытия
1
Опубликовано
3 недели назад
Режим работы
Работа из дома
Критерии отбора
U.S.-based professionals with substantial, direct experience in treasury finance, covenant reporting, lender reporting, debt compliance, rating-agency reporting, or corporate finance; especially those who have personally managed or influenced covenant-related workflows and can discuss them in detai…
Резюме
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Описание работы

Role overview

This is a short, paid consulting engagement for U.S.-based treasury and corporate finance professionals who have real, hands-on experience with covenant reporting and lender-facing materials. The assignment is part of an AI Marketplace research project and is not a permanent or full-time position.

Engagement details

The work is a one-time, project-based interview carried out on a contract basis. It is remote, and no preparation is expected beyond drawing on your own professional experience.

Estimated compensation is $135 per hour, prorated for a 30-minute task.

What you will do

You will take part in a recorded, AI-led video interview lasting about 30 minutes. During the session, you will explain in practical detail how you perform the work in your day-to-day role.

  • Describe how you prepare covenant compliance certificates, calculations, source data, supporting schedules, and approval/sign-off materials.
  • Explain how you project covenant headroom, spot emerging risk, and raise concerns before a breach occurs.
  • Walk through how you coordinate reporting obligations with accounting, FP&A, legal, lenders, and rating agencies.
  • Show how you monitor obligations across financing facilities and manage waivers, amendments, cures, and recurring reporting timelines.

The interview will focus on covenant calculations, compliance certificate preparation, lender reporting, rating-agency materials, obligation tracking, and breach-response procedures.

Who should apply

Applicants should be able to discuss these workflows step by step from direct personal experience and answer follow-up questions with clear, detailed examples.

Privacy and usage

After completion, your video, transcript, and AI-generated insights will be shared with an internal research team and an AI lab partner. The material will be used to build a structured task list for the profession and to support AI model improvement.

Additional information

This is a paid, project-based engagement. Participants set their own schedule, use their own tools, and may take part in other opportunities as well. A candidate privacy notice is referenced in the source material.

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