ERM International - Senior Quantitative Researcher

Description : About the job :

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. 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 advisoryand preferably exposure to private equityyou 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 :

Quantitative Research & Algorithm Development :

• 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.

Data Analysis & Model Development :

Tool Development & Automation :

Data Management & Validation :

REQUIRED SKILLS & EXPERIENCE :

Educational Background :

Technical & Analytical Proficiency :

Professional Experience :

Personal Attributes :

(ref : hirist.tech)