The ERM International Group - Senior Quantitative Researcher

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 :

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 :

• 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.

Tool Development & Automation :

• 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.

Data Management & Validation :

• 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 :

• Master's in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field.
• CFA, FRM, or other financial analysis certifications are a plus.

Technical & Analytical Proficiency :

• Financial & Statistical Modelling : Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling.
• Machine Learning & AI : Proficiency in ML algorithms for forecasting, clustering, and risk modelling.
• Data Analysis & Automation : Experience with SQL, Power BI, or other data visualization tools.
• ESG & Financial Integration : Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations.

Professional Experience :

• Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis.
• Experience in building proprietary financial tools / models for investment firms or financial consultancies.
• Strong background in factor modelling, risk assessment, and alternative data analysis.

Personal Attributes :

• Highly analytical, structured thinker with attention to detail.
• Ability to work independently in an offshore role, managing multiple datasets and models.
• Passion for quantifying ESG impact in financial terms.

(ref : iimjobs.com)