Energy Exposure Analyst – 28395

The Emerald Group; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An exciting opportunity awaits as an Energy Exposure Analyst within a dynamic Energy team of an innovative firm. This role involves ensuring precise capture of energy exposures and producing critical reports to support underwriting processes. Ideal candidates will possess a degree in a scientific discipline and have strong Excel skills. Familiarity with tools like ExposureHub and programming languages such as SQL and Python will enhance your profile. Join a forward-thinking company that values analytical expertise and offers a collaborative environment where your contributions will significantly impact their underwriting business.

Qualifications

• Degree in a numerate or scientific discipline is required.
• Intermediate proficiency in Microsoft Excel is essential.

Responsibilities

• Capture Upstream Energy exposures accurately and timely.
• Produce monthly aggregate and modeling reports for governance.

Skills

Numerical analysis

Intermediate Microsoft Excel

Catastrophe modeling

Power BI

SQL

Python

R

Education

Degree in a numerate or scientific discipline

Tools

ExposureHub

Job description

Unique opportunity for an Energy Exposure Analyst to start in their Energy team in their Underwriting business.

• Location: London
• Category: Exposure Management
• Type: Permanent

Key Duties (Including but not limited to):

• Ensuring the accurate and timely capture of Upstream Energy exposures into their aggregation system (ExposureHub).
• Producing monthly aggregate and modeling reports to support underwriting and governance processes.
• Assisting in preparing Reinsurance Submissions, including running RDS reports and presenting findings to senior analysts.

Minimum Requirements:

• A degree in a numerate or scientific discipline.
• Intermediate proficiency in Microsoft Excel.
• Experience with catastrophe modeling (e.g., RMS) is advantageous but not essential.
• Familiarity with ExposureHub software is beneficial but not mandatory (training provided).
• Power BI and programming language skills including SQL, Python, R are desirable.