Hybrid Global Portfolio Risk Analyst — Data-Driven Energy Markets

The AES Corporation; Houston (TX); Hybrid; USD 90,000 - 150,000; Full time

Job summary

The AES Corporation, based in Houston, TX, is seeking a Quantitative Risk Analyst for Global Portfolio Risk Analytics. The role focuses on leading market risk metrics, policy adherence, and data-driven decision support within AES Clean Energy Services, LLC.

Requirements include a quantitative degree and 2 years of experience in financial risk analysis, with proficiency in PowerBI and ETRM tools such as Allegro, Triple Point, and Endur.

Qualifications

• Bachelor’s degree in Finance, Business Administration, Commercial Engineering or related quantitative field.
• 2 years of experience with financial risk analysis in energy industry.
• Strong understanding of portfolio risk and asset optimization tools.
• Proficiency with data visualization and analytic tools (PowerBI) and ETRM software (Allegro, Triple Point, Endur).

Responsibilities

• Lead research, development, tracking and evaluation of market risk metrics.
• Maintain Local Market Risk Policy and ensure adherence by local teams.
• Integrate with enterprise systems (e.g., Allegro) and monitor risk exposure vs limits.
• Analyze proposals for impact to local and global market risk metrics for decision-making.
• Validate monthly mark-to-market calculations and underlying data.
• Support accounting, finance and risk teams with audits and reporting.

Skills

Financial risk analysis

Data visualization

Analytical thinking

Prioritization

Education

Bachelor's degree in Finance

Bachelor's degree in Business Administration

Bachelor's degree in Commercial Engineering

Tools

PowerBI

Allegro

Triple Point

Endur

Job description

The AES Corporation, based in Houston, TX, is seeking a Quantitative Risk Analyst for Global Portfolio Risk Analytics. The role focuses on leading market risk metrics, policy adherence, and data-driven decision support within AES Clean Energy Services, LLC.

Requirements include a quantitative degree and 2 years of experience in financial risk analysis, with proficiency in PowerBI and ETRM tools such as Allegro, Triple Point, and Endur.