Financial Reporting Associate (New York) (F3F9B7A)

Referment

New York (NY)

Sur place

USD 90 000 - 130 000

Plein temps

Il y a 7 heures
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Résumé du poste

Referment, a global investment firm, is seeking an associate to join its Financial Reporting group. The role blends core accounting and reporting duties with the opportunity to drive innovation by partnering with technology teams on GAI and automation initiatives.

You will prepare and analyze financial statements across multiple funds, support investor and regulatory reporting, and help design scalable, GAi-enabled workflows from concept to daily use.

Qualifications

  • Bachelor's or master's in accounting/finance with 2–4 years in accounting/financial reporting
  • Interest in fund structures, reporting, and automation using GAI
  • Strong analytical, numerical, and collaborative skills with attention to detail

Responsabilités

  • Prepare and analyze monthly, quarterly, and annual financial statements for multiple entities.
  • Conduct account analyses and investor, management, and regulatory reporting.
  • Collaborate with tech teams to implement AI-driven reporting workflows.
  • Support special projects like launching new fund vehicles and ad hoc requests.

Connaissances

Financial reporting
Accounting
GAAP knowledge
Analytical skills
Communication
Team collaboration
CPA optional

Formation

Accounting or Finance degree

Outils

GAI platforms
Automation software

Description du poste

Referment is working with a global investment firm whose financial operations team handles investor and legal entity financial reporting for its hedge fund and private fund vehicles. The Financial Reporting group is looking for an associate to combine core financial reporting and accounting work with the chance to help drive innovation across the group, partnering with technology teams to bring generative AI and automation into its daily processes.

The Role

You will prepare and analyse monthly, quarterly and annual financial statements, conduct account and performance analyses, and handle investor, management and regulatory reporting for multiple legal entities across global capital markets. You will partner with middle and back office technology and other technology teams to rethink how the group handles its daily work, using generative AI and automation to turn recurring manual tasks into automated processes. You will help design and implement GAI-driven workflows for reporting and accounting work, and carry them from idea through to everyday use. You will also work on special projects such as launching new fund vehicles, conducting historical analyses and fielding bespoke requests from senior management across internal groups. The role involves regular interaction with Investor Relations, Management Reporting, Management Company Accounting, Tax, Treasury, Legal and Compliance, and software development groups, giving you a macro view of the firm’s financial activities and fund structures.

What We're Looking For

You will have an undergraduate or graduate degree in accounting or a finance-adjacent field, along with two to four years of experience in accounting, financial reporting or a similar function at a hedge fund, investment manager or other financial services firm. Public accounting experience and a CPA are welcome but not required. You should have an interest in accounting and an appetite to learn the firm’s fund structures and reporting. GAI fluency, or a keen appetite to become fluent, and an interest in using GAI and automation to build reporting and accounting processes that hold up over time are important. You will need keen analytical and problem-solving skills with close attention to detail and accuracy, effective communication skills and the ability to work collaboratively across teams. An organised approach, a facility with numbers and a habit of taking initiative will help you succeed.

This could suit an accountant or financial reporting professional from a hedge fund, investment manager or public accounting firm who wants to combine reporting work with automation and GAI-driven process improvement.

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