The ERM International Group - Senior Quantitative Researcher

- 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.