Senior Quantitative Researcher- Gurugram, India

ERM is seeking a (Senior) Quantitative Researcher to develop algorithms, financial models, and analytical tools that link non-financial ESG data with financial outcomes. This role is ideal for a professional with a strong quantitative background, proficient in statistical modelling, machine learning, and financial analysis. The candidate will work on transforming sustainability materiality and maturity frameworks into automated, scalable models that assess performance and valuation impacts.

This is a non-client-facing offshore role focused on data-driven ESG research and tool development.

The Ideal Candidate

You bring a robust background in financial modelling and valuation with a deep passion for sustainability (e.g. climate, nature, employees wellbeing, sustainable revenue). You have demonstrated success in integrating ESG factors into transaction analysis and investment decision-making. With experience in investment banking, strategy consulting, or transaction advisory—and preferably exposure to private equity—you are adept at turning complex and qualitative ESG concepts into actionable financial insights. You will be able to communicate with senior stakeholders and provide thought leader in this evolving space.

RESPONSIBILITIES :

• Design data-driven models that quantify the impact of ESG factors on financial performance.
• Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models.
• Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data.
• Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics .
• Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making.
• Standardize ESG data inputs and apply weightings / scoring methodologies to determine financial relevance.
• Work with developers to code ESG models into dashboards or automated financial tools .
• Implement AI / ML techniques to enhance model predictive capabilities.
• Ensure models are scalable and adaptable across multiple industries and investment types.
• Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings .
• Conduct sensitivity analyses to validate model accuracy and effectiveness.
• Ensure consistency in ESG metrics and definitions across all analytical frameworks.

REQUIRED SKILLS & EXPERIENCE :

Educational Background

Technical & Analytical Proficiency

Professional Experience

Personal Attributes