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Tier-1 employer and metro location increase applicant density, but niche finance-modeling skills reduce it.
Strong finance and energy-domain modelling requirements limit transferability across industries.
Explicit 6–10 years requirement plus mandatory Python/SQL and domain-specific financial modelling raises filtering strictness.
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Build and maintain advanced financial models (cash flow forecasts, NPV/IRR, capital planning) to support financial planning and sensitivity analysis under varying business scenarios.
Collaborate with global stakeholders across operations, enterprise planning, and finance to influence capital allocation, portfolio optimization, and performance management decisions.
Implement scenario frameworks, stress tests, and advanced quantitative techniques (stochastic drivers, real options valuation) to provide proactive insights and risk/reward quantification.
Bachelor’s degree in Statistics, Finance/Economics, Computer Science, or related field.
6–10 years of experience in decision analysis, financial modeling, or advanced analytics supporting executive leadership decisions.
Strong Python and SQL skills demonstrated through work involving simulation, analytics, and automation.
Work location: Bengaluru; Work hours may be 8:00 AM to 5:00 PM or 1:30 PM to 10:30 PM, Monday to Friday; Visa sponsorship not available.
Experienced in building and validating financial models with statistically sound back-testing and predictive stability.
Able to integrate diverse data sources and communicate complex uncertainty and trade-offs effectively to business audiences.
Capable of maintaining model auditability, versioning, and documentation in compliance with global IT standards.