Data Analyst role at Wood Mackenzie supporting lower 48 oil and gas research and analytics team. Requires strong PySpark, Python skills and cloud technologies knowledge.
About the role
- Treasury Quantitative Analyst developing quantitative models and analytical tools for risk management and treasury analytics. Collaborating with cross-functional teams to influence solution strategies and prepare detailed analyses.
Responsibilities
- Assist in maintaining and developing quantitative models, including Interest Rate Risk (IRR), Asset Liability Management (ALM), Funds Transfer Pricing (FTP), customer behavior modeling, and stress testing
- Engage in model validation activities and produce comprehensive model validation reports
- Apply innovative and scientific quantitative approaches to analyze complex business problems, draw conclusions, and make data-driven recommendations
- Translate analytical findings into clear communication materials for peer review and executive management presentations
- Apply advanced analytical knowledge to collaborate with cross-functional teams, understand complex business objectives, and influence solution strategies
- Prepare detailed balance sheet analysis to support treasury and risk management initiatives
Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field; Master’s degree preferred
- Experience in quantitative analysis within a discipline relevant to programming, statistical analysis, and mathematics
- Proficiency in programming languages such as Python, R, and MS SQL Server
- Strong focus on service, quality, and timely delivery, with the ability to multitask and meet deadlines
- Demonstrated creativity and problem-solving skills to develop effective solutions under time constraints
- Excellent time management, organizational, and attention-to-detail skills
- Positive, self-motivated attitude with the ability to learn quickly, adapt to change, and think outside the box
- Strong communication and presentation skills, with the ability to engage audiences at multiple levels of the Bank
- Willingness to participate in all required compliance training, including Bank Secrecy Act/Anti-Money Laundering (BSA/AML), as well as internal and external training programs, meetings, and seminars
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