Financial Analyst

Omninet Capital • Beverly Hills, CA

8d • Onsite

About The Position

Omninet Capital, LLC is hiring a full-time, entry-level Financial Analyst for its corporate Finance team. The role is designed for a strong member of the Class of 2026 and provides exposure to the financial management of an institutional real estate platform, from property-level budgets to portfolio-wide reporting. No prior work experience is required; training will be provided.

The Financial Analyst supports budgeting, forecasting, performance reporting, and financial analysis across the company’s multifamily and commercial portfolio. The role works closely with Accounting, Asset Management, Property Operations, and senior leadership, and develops and refines analytical tools and reports used to manage the business. The position is onsite in the Beverly Hills, California office and is permanent. Expected pay is $70,000+; the posting also mentions a competitive base salary, performance bonus, and comprehensive benefits package.

Requirements

• Bachelor’s degree in Finance, Accounting, Economics, Real Estate, or a closely related quantitative field, with graduation in 2026.
• Strong academic record from a competitive undergraduate program.
• Advanced Excel skills, including the ability to build clean, auditable models and reports from scratch.
• Solid grasp of financial statements and core accounting concepts.
• Demonstrated fluency with modern AI tools such as Claude, ChatGPT, Copilot, or comparable tools for research, analysis, and productivity.
• Strong written and verbal communication skills, including the ability to turn numbers into a clear story and recommendation.
• High attention to detail, intellectual honesty, and an ownership mentality.
• Willingness to work in person in the Beverly Hills office.

Nice To Haves

• Internship experience in FP&A, corporate finance, accounting, real estate, or asset management.
• Coursework in real estate finance, corporate finance, or financial reporting.
• Exposure to property management or accounting systems such as Yardi, or BI tools such as Power BI or Tableau.
• Familiarity with Python, SQL, or VBA, or demonstrated interest in learning them.
• Experience building AI-powered tools, automations, or prompts that have been deployed.

Responsibilities

• Build and maintain Excel financial models and reporting tools, including operating cash flow projections, capex tracking, sensitivity analyses, and portfolio dashboards.
• Prepare monthly management reporting packages and KPI dashboards covering occupancy, rent growth, collections, expense ratios, and NOI.
• Support lender and investor reporting, including debt service coverage and covenant compliance tracking.
• Perform budget-to-actual and variance analysis, identify performance drivers, and communicate findings to property operations and leadership.
• Analyze rent rolls, T-12s, and general ledger detail to normalize expenses and flag trends, risks, and opportunities.
• Support annual property and corporate-function budgeting for revenue, operating expenses, payroll, and capital expenditures.
• Prepare monthly and quarterly forecasts and reforecasts at the property and portfolio levels.
• Perform ad hoc leadership analysis, including cost-saving initiatives, vendor and contract analysis, refinancing scenarios, and periodic support on new investments.
• Use AI tools to accelerate data review, reporting, and model auditing, and help build automated workflows for the Finance function.
• Partner with Accounting on month-end close support, accruals review, and reconciliation of reporting to the general ledger.

Benefits

• Competitive base salary
• Performance bonus
• Comprehensive benefits package
• Direct exposure to senior leadership and visibility into how a full real estate platform is run financially
• Opportunity for analysis to shape budgets, operating decisions, and portfolio strategy
• Access to a platform investing in AI and modern tooling
• Fast, lean culture where responsibility scales with capability

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level