Finance & Operations Senior Analyst

Tetrix•New York City, NY

About The Position

Tetrix is a fast-growing startup on a mission to empower institutional investors to confidently invest in alternative markets. Our AI-native product transforms messy, unstructured private market data into real-time insights, combining automated document retrieval, AI-powered data extraction, and on-demand portfolio analytics. We are growing quickly to becoming a category-defining product, and are working with some of the world's leading capital allocators. This is a unique opportunity to join a talented and driven team that wants to build next-generation infrastructure in financial markets, and is backed by stellar investors.

Requirements

2-3 years of experience in accounting, fund administration or finance with a solid grasp of financial metrics.
Proficiency in English - given the international nature of our clientele, strong proficiency in English is a key asset.
Love financial data – thrive in data-heavy environments and enjoy working with financial statements, reconciliations, and data validation processes.
Detail-obsessed – accuracy is your superpower, and you take pride in ensuring financial data is precise and reliable.
Team player – enjoy collaborating with cross-functional teams to improve data processes and contribute to company-wide success.

Nice To Haves

Familiarity with institutional investors and private investment markets is a strong plus.

Responsibilities

Deliver high quality data – validate and reconcile fund financial data extracted by the Tetrix platform, ensuring it meets high standards of precision. The ability to correctly interpret financial statement data is key.
Enhance data processes – continuously develop and refine internal processes for data validation, reconciliation, and reporting to support scale and deliver consistent client value.
Cultivate meaningful client partnerships – You’ll develop deep expertise in client’s data, acting as a strategic partner throughout their onboarding and ongoing engagement with Tetrix.
Collaborate across teams – work closely with product, engineering, and customer success teams to enhance data workflows and resolve client needs efficiently.