Risk Control Intern - LNG

Engie is hiring a Risk Control Intern - LNG in Singapore, Singapore. Level rates it ; you can apply on Engie.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classifies it as an internship.
Level lists 688 other open roles at Engie.
The role was posted within the past two weeks.

AI in this role

Description

Support daily monitoring and reporting of LNG and Biomass market and credit risk exposures.
Assist in the analysis of risk indicators, limit utilization, P&L drivers, and portfolio exposures.
Contribute to the preparation of risk committee materials, governance reports, and management presentations.
Perform data analysis to identify trends, anomalies, and emerging risks within LNG and Biomass portfolios.
Support the review and enhancement of risk control processes, procedures, and documentation.
Interact with Front Office, Middle Office, Finance, and Compliance teams to ensure adherence to risk policies and controls.
Assist in investigating risk events and control breaches, including root cause analysis and follow-up actions.
Participate in strategic projects related to risk governance, reporting automation and digitalization, and process improvement initiatives.

Requirements

Pursuing a Bachelor's degree in Finance, Economics, Mathematics, Business Administration, or a related field.
Strong analytical and problem-solving abilities with a high attention to detail.
Proficiency in Excel and data analysis techniques.
Ability to work with large datasets and synthesize findings into meaningful insights.
Interest in commodity markets, energy trading, LNG, and renewable fuels such as biomass.

How we rate this

Risk Control Intern - LNG at Engie rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.