Senior Quantitative Researcher- Gurugram, India

Overview

Develop ESG-linked financial models and algorithms for data-driven analysis.

Key Responsibilities

• data modelling
• ai/ml
• sensitivity analysis
• data cleaning
• dashboard development
• esg scoring

Tasks

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

Requirements

• python
• sql
• power bi
• cfa
• machine learning
• advanced excel

What You Bring

-Experience in building proprietary financial tools/models for investment firms or financial consultancies. -Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field. -Highly analytical, structured thinker with attention to detail. -Ability to work independently in an offshore role, managing multiple datasets and models. -Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis. -Strong background in factor modelling, risk assessment, and alternative data analysis. -CFA, FRM, or other financial analysis certifications are a plus. -Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling. -ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations. -Data Analysis & Automation: Experience with SQL, Power BI, or other data visualization tools. -Machine Learning & AI: Proficiency in ML algorithms for forecasting, clustering, and risk modelling.

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About Erm

-Flourished through merging UK and US consultancies, building a truly global footprint. -Has carried out major environmental assessments for projects like High Speed 1, HS2, Keystone and Dakota Access pipelines. -Works in sectors from mining, energy and chemicals to manufacturing, pharma, power, renewables, finance and TMT. -Combines strategic advisory and technical delivery, using digital tools and proprietary methodologies. -Notably led environmental impact assessments for cross-border hydroelectric, rail and oil infrastructure.

Sector Specialisms