Analyst - Trading and Risk

Energy Transfer • Newtown Square, PA

2d

About The Position

Join a collaborative and innovative team of entrepreneurial individuals transacting in physical and financial markets to supply customers with low-cost products and generate EBITDA in a challenging, fast-paced environment. The Analyst provides day-to-day support to Sunoco’s trading team and associated support functions, monitors and evaluates supply and demand factors, and maintains supply-and-demand balances for global, domestic, and regional markets. The role designs and implements analytical tools and models, analyzes large datasets to identify trends and patterns, and builds predictive models and algorithms using coding software such as Python. The employee uses self-constructed models to propose solutions and strategies for internal business challenges.

The position usually involves normal office working conditions. Employees must be able to remain stationary for 50% of the time due to prolonged periods of sitting or standing. Occasional overnight travel may be required. Occasional visits to industrial or manufacturing settings may involve exposure to materials and chemicals, extreme temperatures, and loud machinery, requiring appropriate personal protective equipment.

Requirements

• Bachelor’s degree in Finance, Business, Engineering, or another related discipline.
• Proven experience as a data scientist.
• Knowledge of Python, R, SQL, or other related coding platforms.
• Strong math skills.
• Excellent communication skills.
• Experience requirements vary by selected job level: Specialist/Analyst requires a Bachelor’s degree and 2–5 years of relevant job-related experience; Senior Specialist/Analyst requires a Bachelor’s degree and 5–8 years; Lead Specialist/Analyst requires a Bachelor’s degree and 8+ years.

Responsibilities

• Provide day-to-day support to Sunoco’s trading team and associated support functions.
• Monitor and evaluate supply-and-demand factors.
• Maintain supply-and-demand balances for global, domestic, and regional markets.
• Design and implement analytical tools and models to solve complex problems.
• Analyze large datasets to recognize trends and patterns.
• Build predictive models and algorithms using coding software such as Python.
• Use self-constructed models to propose solutions and strategies for internal business challenges.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level