Assurance Specialist - Climate Change and Sustainability Services

Overview

This role, offered by a partner firm based in the United States, focuses on providing assurance services related to climate change and sustainability. It presents an opportunity to assist organizations in tackling climate-related risks while fostering sustainable business practices. The position involves working on projects that enable clients to better comprehend, handle, and disclose climate risks and sustainability priorities. It merges strong analytical abilities, risk management expertise, and sustainability knowledge to provide practical and impactful business solutions.

Collaboration with multidisciplinary teams and senior leaders is essential to fostering transparency, resilience, and sustainable decision-making across various industries. This role also allows for the advancement of specialized proficiency in climate change and sustainability within a dynamic professional atmosphere.

Key Responsibilities

• Contribute to projects focused on climate risk management, including developing methodologies, models, and assessment procedures for physical and transition risks.
• Evaluate how climate-related risks affect financial and business risk profiles.
• Review and analyze climate stress scenarios, risk factors, policies, and frameworks associated with managing climate risks.
• Assess the strategic, operational, financial, and risk consequences of sustainability trends, providing actionable insights for businesses.
• Assist clients in forming climate risk management systems, governance frameworks, and approaches for integrating such risks within enterprise risk management.
• Engage with clients to identify their needs, aid in crafting engagements, and contribute to technical reports and proposals.
• Manage intricate technical topics within the realms of sustainability and risk management.
• Apply expertise in pertinent regulations, standards, and best practices regarding climate change and sustainability.
• Work closely with internal teams and stakeholders to ensure delivery of high-quality advisory and assurance services.

Candidate Requirements

• Bachelor’s degree in Finance, Economics, Mathematics, Financial Engineering, Risk Management, Statistics, Actuarial Science, Analytics, or other STEM-related disciplines.
• At least 2 years’ experience in areas such as risk management, credit risk, statistical or climate risk modeling, banking risk, or allied fields.
• Strong analytical thinking and problem-solving skills, capable of interpreting complex data.
• Excellent communication skills, both written and verbal, suitable for audiences ranging from technical experts to non-specialists.
• Familiarity with analytical programming languages and tools such as SAS, R, Python, or SQL is advantageous.
• Experience or awareness of ESG reporting, sustainability disclosures, or regulatory compliance is preferred.
• Involvement in designing or implementing ESG-centered initiatives is a plus.
• Ability to effectively engage senior-level stakeholders and contribute to client interactions.
• Strong organizational abilities to manage priorities within an evolving environment.
• A collaborative approach, contributing constructively to team-driven innovative projects.

Benefits

• Competitive salary package reflecting experience and personal performance.
• Flexible work schedules that support a healthy work-life balance.
• Continuous professional growth through development programs and coaching.
• Opportunities to cultivate expertise in climate change, sustainability, risk management, and assurance.
• Exposure to a wide variety of projects and interdisciplinary teams.
• A workplace culture emphasizing diversity, inclusion, and support.
• Access to resources and tools that empower meaningful professional contributions.
• Prospects to develop leadership capabilities and advance within a global corporate structure.

Additional Information

The hiring process uses an AI-supported matching system to conduct fair and efficient candidate evaluations, with final hiring decisions handled by the employer’s internal team. Applicants’ data will be processed in accordance with applicable data protection laws including GDPR, with transparency on data usage and AI’s supportive role emphasized.