Market Risk Analyst: VaR & Data Insights

aramco

Houston (TX)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Aramco seeks a Market Risk Analyst to support trading by monitoring daily activity, producing reports and alerts, and assessing market risks across global and regional desks. You will provide market risk analysis for VaR, P&L, and exposure while refining risk models with senior analysts.

The role requires 5+ years of experience, strong numerical abilities, and proficiency in Excel; knowledge of Python or MATLAB is a plus.

Qualifications

Bachelor's degree in finance, economics, mathematics, engineering or a related field.
Proficiency in Microsoft Excel and other relevant analytical tools.
Strong numerical and analytical skills.
Excellent written and verbal communication skills.
Excellent problem-solving skills and the ability to think critically under pressure.

Responsibilities

Execute daily risk control process and risk reports; work with traders, operators and IT to manage market risk.
Ensure daily data integrity, validate positions and reconcile data inconsistences with traders.
Monitor and report daily price exposure, mark-to-market and P&L to management for designated book.
Coordinate with the risk management team to ensure alignment with regulatory mandates and internal protocols.
Contribute to the development and upkeep of risk management models and tools tailored for market risk evaluation.
Collaborate on ad-hoc projects and tasks under the direction of senior analysts, fostering continuous improvement in market risk management practices.
Monitor market trends and analyze data to detect potential risks within trading settings.
Explore innovative approaches to analyze market data, identify emerging risks, and enhance risk management strategies.
Engage in discussions to furnish insights into market risk factors and their potential effects on trading operations.
Support the implementation of risk mitigation strategies to curtail potential losses.
Contribute to the development and enhancement of market risk models, including VaR models, stress testing frameworks, and scenario analysis tools.
Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement.
Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and predictive power of market risk models.
Execute stress testing and scrutinize exposure limits under senior guidance for accurate risk assessment.
Assist in crafting reports detailing market risk metrics like VaR and scenario analysis.