Senior Associate - RIL (Climate Risk)

Role and Responsibilities:

• Climate Risk Modelling & Scenario Analysis: Lead the development and application of

advanced models for assessing physical (e.g., floods, heatwaves) and transition risks (e.g.,

policy shifts, low-carbon technologies) across sectors and asset classes, using tools like

CLIMADA and aligned with NGFS, IPCC, and TCFD frameworks.

• Environmental & ESG Data Analytics: Design and implement methodologies to model

environmental impacts (carbon, water, waste, biodiversity) using large-scale datasets, LCA

databases, geospatial data, and remote sensing tools for cross-sectoral risk quantification.

• Financial Risk Integration: Collaborate with banks and financial institutions to embed climate

and ESG risk indicators into credit rating models, stress testing frameworks, underwriting

processes, and portfolio risk assessments to meet regulatory and disclosure expectations (e.g.,

CSRD, PCAF, EU Taxonomy).

• Research Leadership & Regulatory Alignment: Drive applied research and thought leadership

through publications, IP development, and academic collaborations. Ensure climate analytics

methodologies stay aligned with evolving standards and frameworks (e.g., ISSB, GFANZ,

SBTN).

• Stakeholder Engagement & Communication: Present technical findings and strategic insights

to clients, regulators, and internal teams. Contribute to multi-disciplinary innovation projects

involving sustainability experts, data scientists, engineers, and product managers.

Required Skills and Qualifications:

• Climate & Environmental Risk Expertise: Over 4 years of hands-on experience in

climate/environmental risk analysis, with a strong focus on the financial sector including work

with banks, asset managers, DFIs, or credit rating agencies. Demonstrated ability to apply or

develop risk models tailored to regulatory frameworks such as Basel III/IV, TCFD, NGFS, and

IFRS S2.

• Technical & Analytical Proficiency: Skilled in data science and statistical analysis using

Python, R, MATLAB, and Excel. Experienced with climate datasets (e.g., CMIP6, ERA5,

WorldClim), geospatial tools (QGIS, ArcGIS), and physical risk modelling frameworks like

CLIMADA. Familiar with ESG standards and sustainability data integration.

• Financial Risk Knowledge: Solid understanding of credit and market risk principles, with the

ability to overlay climate and environmental risks into traditional financial risk frameworks.

Strong grasp of financial concepts, credit assessment, and stress testing methodologies.

• Research & Thought Leadership: Demonstrated thought leadership through publications,

white papers, or industry contributions at the intersection of climate science, data analytics,

and finance. Proven experience working in interdisciplinary teams spanning science,

engineering, finance, and technology.

• Communication & Collaboration: Excellent verbal and written communication skills with a

strong command of English. Effective at presenting complex findings to technical and non-

technical audiences. Highly collaborative, detail-oriented, self-motivated, and capable of

managing work both independently and in team settings.

• Qualification: Advanced degree (masters or PhD) in Environmental Science, Nature and

Biodiversity related fields, Sustainability, or any related discipline.