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EXL

Analyzes business data and runs outsourced operations

Executive

Financial & Transaction AdvisoryConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Postgraduate qualification in Finance.
  • MBA and financial modelling qualification or expertise.
  • Ability to conduct financial research, benchmarking analysis, industry profiling, and company profiling.
  • Ability to extract, organize, and validate data from databases, research platforms, and online sources while ensuring accuracy and completeness.
  • Ability to translate user and stakeholder requirements into structured analytical outputs and actionable insights.
  • Ability to synthesize complex information into clear presentations, reports, and work products.
  • Ability to interpret and simplify numerical and financial concepts for valuation summaries, dashboards, and presentations.
  • Knowledge of trading comparables, discounted cash flow (DCF), leveraged buyout (LBO), and merger mathematics modeling.
  • Ability to assemble financial models and analytical reports, and ensure sound, defensible logic, assumptions, and valuation rationale.
  • Ability to quality-check models, analyses, and presentations against valuation standards.
  • Ability to prepare client-ready valuation decks, benchmarking summaries, and industry insights.
  • Awareness of sector-specific trends, macroeconomic indicators, and industry developments relevant to valuation engagements.
  • Ability to support day-to-day team operations, build client relationships, and identify opportunities for business growth.

Responsibilities

  • Conduct financial research, benchmarking analysis, industry profiling, and company profiling to support valuation and analytical deliverables.
  • Extract, organize, and validate raw data from multiple databases, research platforms, and online sources, ensuring data accuracy and completeness.
  • Understand business objectives and translate user and stakeholder requirements into structured analytical outputs and actionable insights.
  • Synthesize complex information and produce clear, compelling, well-structured presentations, reports, and work products.
  • Interpret and simplify numerical and financial concepts to create valuation summaries, dashboards, and presentations.
  • Apply trading comparables, DCF, LBO, and merger mathematics modeling techniques to prepare valuation outputs.
  • Assemble financial models and analytical reports, ensuring the logic, assumptions, and valuation rationale are sound and defensible.
  • Conduct quality checks on models, analyses, and presentations to maintain consistency with valuation standards.
  • Assist in preparing client-ready valuation decks, benchmarking summaries, and industry insights.
  • Collaborate with internal stakeholders to support smooth assignment delivery and identify process improvements in valuation workflows.
  • Maintain awareness of sector-specific trends, macroeconomic indicators, and industry developments relevant to valuation engagements.
  • Support day-to-day team operations, cultivate client relationships, engage in relationship-building activities, and proactively identify business-growth opportunities.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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