Yash Anand

About Yash Anand

Open to OpportunitiesI’m a Financial Analyst with 5+ years of experience in Financial Planning & Analysis (FP & A), specializing in budgeting, forecasting, and financial modeling across insurance and healthcare SaaS environments.My work focuses on turning financial data into actionable insights that help leadership teams make better strategic decisions. I have experience managing portfolio-level financial planning, building driver-based financial models, and performing variance analysis to identify opportunities for margin improvement and cost optimization.In my recent role, I supported budgeting and forecasting for a $180M insurance portfolio and helped improve forecast accuracy from 9% to 5%. I’ve also built financial models used for pricing strategy, capital planning, and long-range financial forecasting.My core expertise includes:• Financial Planning & Analysis (FP & A)• Budgeting, Forecasting & Variance Analysis• Financial Modeling & DCF Valuation• Unit Economics & Margin Optimization• Strategic Financial PlanningI combine finance expertise with technical tools, including Excel (advanced modeling), SQL, Python, Power BI, and Tableau, to deliver data-driven financial insights.I’m currently open to opportunities in:• Financial Analyst• FP & A Analyst• Corporate Finance Analyst• Strategic Finance AnalystIf you’re hiring for finance roles or building a data-driven finance team, I’d be happy to connect.

Experience

1. Financial Analyst

   MetLife

   Jan 2025 — Present · US

   Owned annual budgeting and quarterly reforecasting for a $180M insurance portfolio using Excel driver-based models and Workday Adaptive Planning, improving forecast accuracy from 9% to 5% across premiums, claims, and Opex.• Built bottom-up financial models in Excel using Power Query, structured input sheets, and sensitivity tables to link enrollment growth, claims frequency, and unit cost assumptions, enabling side-by-side margin comparison across three product scenarios.• Performed detailed Actual vs Budget variance analysis on loss ratio, claims severity, and commission expense using SQL extracts, NetSuite GL data, and Excel reconciliation models, supporting $2.1M in annualized cost containment actions.• Developed multi-year cash flow and capital planning models in Excel using forecast roll-forwards and discounted cash flow logic, supporting internal DCF-style evaluation for long-term initiatives and capital allocation decisions.• Used Python to analyze historical claims and utilization trends, stress-testing forecast assumptions and helping underwriting teams adjust risk buffers that improved margin stability by 1.6 pts.• Partnered with Actuarial, Finance, and Compliance teams to validate financial outputs under GAAP while ensuring claims-level data used in analysis complied with HIPAA controls during audits and internal reviews.

Education

• Florida State University

  Master of Science - MS, Information Technology

• Pandit Deendayal Energy University

  Bachelor of Technology - BTech, Computer Engineering

  2017 — 2021