The ERM International Group

- 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: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)