Senior Risk Operations & Analytics Lead

Chevron Corporation

Houston (TX)

On-site

USD 180,000 - 260,000

Full time

4 days ago

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Job summary

Chevron Corporation in Houston, TX seeks a Risk Operations & Analytics Team Lead to drive transformation across Trading, Risk, Operations and Analytics. The role blends deep technical expertise with project leadership to deliver high‑impact credit, market risk and trading compliance initiatives.

You will lead cross‑functional teams through the full delivery lifecycle, onboard new portfolios into risk systems like ETRM/CTRM, design dashboards in Power BI, and optimize risk reporting across global

Qualifications

Bachelor's degree in Finance, Economics, Mathematics, Statistics, CS or related field.
15+ years of progressive experience in program/project management within Energy, financial services or related industries.
Proven track record leading complex, cross-functional risk systems/ETRM-CTRM implementations (RightAngle, Endur).
Strong understanding of commodity markets, trading lifecycle, and risk metrics (VaR, P&L, exposure).
Hands-on experience across trading systems and risk systems.
Cross-functional leadership, global team coordination and change management.
Strong analytical and problem-solving skills with ability to interpret complex datasets.
Proficient with data analysis and programming/visualization tools (Excel, SQL, Python, Power BI).
Ability to communicate complex risk concepts clearly to stakeholders.

Responsibilities

Lead cross-functional teams through full delivery lifecycle including requirements, design, implementation, testing, training, deployment and maintenance.
Onboard new trading portfolios and instruments into risk systems and align data flows across platforms.
Own risk reporting optimization for commodity portfolios and collaborate with risk groups on market risk, pricing and exposure.
Define project scope, manage schedules, and obtain stakeholder sign-off on deliverables.
Drive improvements through automation and innovative solutions.
Design and implement interactive dashboards and visualizations for risk transparency.
Apply data analytics, modeling techniques to support reporting and decision-making.
Leverage Power BI, Power Automate, Power Apps, SQL, and Python to improve data access.
Ensure consistent application of trading controls and risk processes globally.