Job Description
Senior Financial Analyst
Position Type: Full Time, Exempt, Hybrid (1 to 3 Days On site)
Location: Los Angeles
Salary Range: $110,000.00 - $130,000.00 *
*The salary range is the one that Munger, Tolles & Olson LLP reasonably expects to pay for this position. The salary range does not guarantee, obligate, nor set expectations of an applicant’s wage in the event of hire. The posted range is only one component of Munger, Tolles & Olson LLP’s Total Rewards package.
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The Senior Financial Analyst position plays a key role in formulating pricing strategies and managing billing activity against client expectations in partnership with attorneys. The Senior Financial Analyst is responsible for creating budgets and forecasts as well as responding to competitive requests for proposal. The Senior Financial Analyst develops pricing tools and templates to boost accuracy in future budgeting and forecasting. This position develops financial analyses and critically reviews results in partnership with various levels of management within the firm.
Job Functions & Responsibilities
- Work closely with attorneys to respond to complex budget and pricing structure requests.
- Define scope and develop task-based budgets and forecasts
- Assess and recommend alternate pricing proposals
- Prepare risk and reward analyses and win and win analyses
- Oversee all matter budget management for large clients and interact with clients
- Provide attorneys and other department heads with relevant data to help them manage client expectations on legal spend and with business development efforts.
- Create and publish budget to actual reports and packages
- Create and optimize dashboards and ad-hoc reports as requested by attorneys and department heads
- Provide customized modeling, performance and benchmarking analyses
- Define a pricing framework for specific litigation tasks or phases
- Define approach, analyze and interpret comparable matter data, and correct for anomalies
- Test hypotheses, refine metrics, and increase the number of exemplars for future use
- Determine causes of data quality problems and recommend improvements
- Identify, troubleshoot and resolve data quality issues and recommend improvements based on findings