Fund Operations Analyst (Remote)

Fund Operations Analyst – Remote (US) | Salary: Competitive early stage fintech startup (salary + bonus)

About Allocate

Atlas Fund Services, LLC is a subsidiary of Allocate and operates as the fund administration business unit. Allocate is changing private market investing by letting RIAs and family offices easily find, model, and manage their private market exposure. Our platform combines curated fund and co-investment chances with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier chances across venture capital, private equity, private credit, and other private asset classes, supported by powerful tracking, analytics, and administration tools.

About the Role

As a member of the Atlas Fund Services team, you will play a dynamic and important role in supporting Allocate’s long-term growth. This role will provide necessary support in servicing Allocate’s client base and keeping operational processes accurate. This role reports to the Director of Atlas Fund Services and is ideal for someone looking to grow within fund operations.

Responsibilities

• Work alongside the Fund Administration team with a focus on cash management.
• Monitor cash and Line-of-credit balances across the book of business.
• Support the preparation, submission, and reconciliation of cash movement (including capital calls & distributions, trade/wire confirmations, and expense payments).
• Monitor and respond to ad-hoc operational requests and service cases.
• Support the Atlas Fund Services team in processes related to fund operations.
• Assist in the development of new processes to further automate workflows.
• Coordinate internally (Legal, Finance, Product, and Engineering teams) to correctly respond to inbound requests and questions.
• Additional responsibilities will be decided based on capacity, skill, and interest.

Qualifications

• 1-2+ years of applicable finance, banking, fund administration, or alternative asset management industry experience is preferred.
• Advanced working knowledge of Microsoft Excel.
• Strong client service focus with the ability to manage multiple, competing priorities.
• Excellent oral, written, and interpersonal communication skills.

Essential Values & Culture

Providing our clients with a world-class experience is our number one priority. We constantly look for ways to make the experience better for our clients and partners. This requires fast response times, being proactive, and making sure that everything we do, from product strategy to offline communications, is a top-tier client experience.

• Challenge convention: Instead of listing all the reasons why an idea may not work, we constantly question things to figure out how a workable idea can be put into motion.
• Commitment to continuous improvement: We find ways to personally grow each day by pushing ourselves up the learning curve.
• Meritocracy, not politics: We place the utmost value on results and rewards through merit, not reward actions driven by political agendas or behavior.
• Civil Discourse is embraced: We believe open, intellectually curious conversations are required to arrive at the best decisions. Respect is paramount in our dealings with one another, but our mission is always to get the right answer collectively, not to be right.

Additional Details

• Seniority: Entry to mid-level.
• Reporting to: Director of Atlas Fund Services, LLc.
• Location: Fully remote within US (broadband internet connection is required).
• Salary: Competitive early stage fintech startup (salary + bonus).
• Employment: Full time.

The base pay offered will be decided based on the candidate’s experience, location, skills, training, certifications, and education, and other relevant qualifications specific to the role, as well as internal equity and market data. Total compensation may also include a discretionary performance-based bonus. We do not expect that candidates hired will start at the top of the range; however, from time to time, it may happen on a case-by-case basis.

Category

Data Analysis