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Senior Quantitative Researcher- Gurugram, India
Erm
Develop ESG‑financial models, algorithms and tools, integrating non‑financial data into valuations.
6d ago
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
New Delhi, Delhi, India
Office Full-Time
Company Size
8,000 Employees
Service Specialisms
Environmental Consulting
Sustainability
Engineering
Risk Management
Health & Safety
Environmental Impact Assessment
Geotechnical Engineering
Water Management
Sector Specialisms
Chemical
Financial Services
Manufacturing
Mining & Metals
Oil & Gas
Pharmaceutical
Power
Renewables
Role
What you would be doing
esg indicators
data management
statistical modeling
machine learning
data standardization
dashboard development
- Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making.
- Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings.
- Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models.
- Ensure consistency in ESG metrics and definitions across all analytical frameworks.
- Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics.
- Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data.
- Implement AI/ML techniques to enhance model predictive capabilities.
- Standardize ESG data inputs and apply weightings/scoring methodologies to determine financial relevance.
- Conduct sensitivity analyses to validate model accuracy and effectiveness.
- Design data-driven models that quantify the impact of ESG factors on financial performance.
- Ensure models are scalable and adaptable across multiple industries and investment types.
- Work with developers to code ESG models into dashboards or automated financial tools.
What you bring
sql
power bi
machine learning
python
cfa
master’s
- 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.
- Ability to work independently in an offshore role, managing multiple datasets and models.
- Experience in building proprietary financial tools/models for investment firms or financial consultancies.
- CFA, FRM, or other financial analysis certifications are a plus.
- Highly analytical, structured thinker with attention to detail.
- Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling.
- Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis.
- Strong background in factor modelling, risk assessment, and alternative data analysis.
- Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field.
- ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations.
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Company
Overview
Revenue $1.3B
Annual Revenue
Reports over US$1.3 billion annually.
40+ Countries
Global Presence
Operates across over 40 countries.
KKR Backing
Since 2021
Privately owned and backed by KKR since 2021.
Thousands Annually
Projects Undertaken
Undertakes thousands of projects each year.
- 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.
- Safety is our number one priority.
- We are passionate about what we do.
- We collaborate to achieve excellence.
- We take personal responsibility and act with integrity.
- We embrace change and seek innovative solutions.
- We care about our people and work with them to unlock their potential.
50% reduction
Carbon Footprint Reduction
Aiming to reduce operational carbon footprint by half by 2025.
70M tons CO2
CO2 Emissions Reduced
Helped clients reduce emissions by over 70 million tons of CO2 equivalent annually.
- Committed to achieving net zero by 2030.
- Works with clients to support the transition to renewable energy sources.
- Aims to incorporate sustainability into all aspects of business decision-making.
50% women
Senior Leadership Team
Half of the senior leadership team consists of women, reflecting strong gender diversity at executive levels.
40% by 2025
Global Workforce Goal
Aim to achieve 40% female representation in the global workforce by the year 2025, demonstrating a commitment to broader diversity initiatives.
Active tracking
Gender Balance Monitoring
The company consistently monitors and reports on gender balance across all levels of the organization to ensure ongoing progress and accountability.
- They have introduced initiatives to support the recruitment and retention of diverse talent.
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