Quantatative Risk Analyst

gunvor; Georgia; On-site; USD 90,000 - 140,000; Full time

Job summary

Centalion is seeking a Quantitative Risk Analyst to join the Portfolio Optimization team, developing risk models and analytics that drive trading decisions. You will work with traders, commercial teams, and technology to translate data into actionable insights for portfolio performance.

You will design and refine quantitative tools, monitor exposures, and help optimize strategies across energy markets, integrating market data and valuation methodologies.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Engineering, Physics, Computer Science, Quantitative Finance, or related.
• Typically 3–5 years of experience in quantitative analytics, risk management, or related in commodity trading, energy markets, or financial trading.
• Advanced degree in a quantitative discipline is advantageous.
• Candidates with less experience will be considered with exceptional quantitative capabilities and strong practical application of theory.

Responsibilities

• Design, develop, and implement quantitative risk models to measure, monitor, and evaluate trading exposures.
• Take ownership of models, ensuring accurate valuation and risk assessment while incorporating maturity, seasonality, and market dynamics.
• Apply quantitative techniques and statistical analysis to support portfolio risk management and commercial decisions.
• Evaluate risk characteristics of complex transactions and provide analytical support to commercial stakeholders.
• Support P&L and position reporting; improve data integrity and analytical workflows.
• Consolidate and analyze large datasets to develop scalable analytical infrastructure.

Skills

Quantitative analytics

Risk modeling

Portfolio analytics

Statistical analysis

Financial mathematics

Data interpretation

Education

Bachelor's degree in Mathematics, Statistics, Engineering, Physics, Computer Science, Quantitative Finance, or related

Advanced degree advantageous

Job description

Job Title: Quantatative Risk Analyst

Contract Type:

Time Type:

Job Description: Quantitative Analyst - Portfolio Optimization

Centalion | Portfolio Optimization Team

At Centalion, we operate at the intersection of global energy markets, physical trading, and logistics. We move energy from where it is sourced and stored to where it is needed most, leveraging an extensive network of ships, rail, trucks, and pipelines to connect supply with demand efficiently.

Our success is driven by our ability to understand complex markets, manage risk intelligently, and identify opportunities across the energy value chain.

We are seeking a Quantitative Analyst to join our Portfolio Optimization team, where quantitative analysis, market intelligence, and commercial decision-making come together.

This is an opportunity for an analytically driven professional to work closely with trading and commercial teams, developing sophisticated risk models, enhancing portfolio visibility, and delivering actionable insights that support trading strategies and portfolio performance.

The Opportunity

As part of the Portfolio Optimization team, you will play a key role in developing the analytical tools, quantitative models, and risk frameworks that underpin our trading activities. Working at the intersection of quantitative analytics, risk management, and physical commodity markets, you will help translate complex data into meaningful commercial insights. Your work will contribute directly to how we evaluate market exposures, assess structured transactions, monitor portfolio risk, and identify opportunities to enhance performance.

You will collaborate with traders, commercial teams, technology, operations, and finance, gaining broad exposure to the commercial and operational dynamics of a global energy trading business.

Quantitative Modeling & Portfolio Analytics

• Design, develop, and implement quantitative risk models and analytical tools to measure, monitor, and evaluate trading exposures.
• Take ownership of key models, ensuring accurate position valuation and risk assessment while incorporating contract maturity characteristics, seasonality, and market dynamics.
• Apply advanced quantitative techniques, financial mathematics, and statistical analysis to support portfolio risk management and commercial decision-making.
• Evaluate the risk characteristics of complex, structured, and bespoke transactions, providing analytical support to commercial stakeholders.

Market Data, Forward Curves & Valuation

• Develop, maintain, and enhance proprietary forward curves and implied volatility surfaces across relevant commodity markets.
• Validate market data and pricing inputs against observable market values, settlements, and trading activity to ensure accuracy and consistency.
• Oversee curve construction and monitoring, including appropriate treatment of contract expirations, calendar rolls, and seasonal market structures.
• Partner with front, middle, and back-office stakeholders to ensure consistent implementation of market data and valuation methodologies.

Risk Monitoring & Commercial Insight

• Analyze portfolio exposures, risk concentrations, and trading limits to identify emerging risks and potential vulnerabilities.
• Investigate limit breaches and unusual exposures, communicating findings and recommendations to the Head of Risk and senior management.
• Deliver clear, actionable analysis that supports informed risk-taking and commercial decision-making.
• Provide quantitative insight into structured transactions, nonstandard contracts, and evolving market conditions.

Reporting, Technology & Process Improvement

• Support accurate and timely P&L and position reporting, providing additional middle-office coverage when required.
• Collaborate with trading, IT, operations, accounting, and finance to strengthen data integrity and improve analytical workflows.
• Identify opportunities to automate manual processes, enhance data quality controls, and improve the efficiency of risk and reporting systems.
• Consolidate and analyze large datasets from multiple sources, applying disciplined data management and analytical practices.
• Contribute to the ongoing development of scalable analytical infrastructure that supports the evolving needs of the trading business.

Education & Experience

• Bachelor's degree in Mathematics, Statistics, Engineering, Physics, Computer Science, Quantitative Finance, or a related quantitative discipline.
• Typically 3-5 years of experience in quantitative analytics, risk management, or a related role within commodity trading, energy markets, or financial trading.
• Candidates with less experience will also be considered where they demonstrate exceptional quantitative capabilities, strong practical application of quantitative theory, and an advanced degree from a leading academic institution.
• Advanced degree in a quantitative discipline is advantageous.

Technical & Analytical Capabilities

Strong foundation in quantitative modeling, probability, statisti