Analyst - Trading and Risk

Sunoco LP; Newtown Township (Delaware County); On-site; USD 90,000 - 140,000; Full time

Job summary

Sunoco LP is seeking a data scientist to provide day-to-day support to the trading team and related functions. You will monitor supply/demand factors and maintain market balances across global, domestic, and regional markets.

The role involves designing analytical tools, analyzing large datasets, and building predictive models using Python, R, and SQL to propose data-driven strategies in a fast-paced energy trading environment.

Qualifications

• Bachelor's degree in Finance/Business/Engineering or other related discipline.
• Proven experience as a data scientist.
• Knowledge of Python, R, SQL or other related coding platforms.
• Strong math skills.
• Excellent communication skills.

Responsibilities

• Provide day to day support to Sunoco's trading team and associated support functions.
• Monitor and evaluate supply/demand factors; maintain balances for global, domestic, and regional markets.
• Design and implement analytical tools and models to solve complex problems.
• Analyze large data sets to recognize trends and patterns.
• Build predictive models and algorithms using coding software such as Python.

Skills

Strong math

Excellent communication

Education

B.S. in Finance/Business/Engineering or related

Tools

Python

R

SQL

Job description

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 32 countries and territories in North America, the Greater Caribbean, and Europe. The Partnership's midstream operations include an extensive network of approximately 14,000 miles of pipeline and over 160 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which distribute over 15 billion gallons annually to approximately 11,000 Sunoco and partner-branded retail locations, as well as independent dealers and commercial customers.

At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers. We are always looking for the best and brightest talent and are committed to making your job a challenging and rewarding experience.

Summary:

Join a collaborative and innovative team of entrepreneurial individuals transacting in both physical and financial markets with a common goal to supply customers with low-cost products and generate EBITDA in a challenging, fast paced environment.

Core Responsibilities:

• Provide day to day support to Sunoco's trading team and associated support functions.
• Monitor and evaluate Supply/demand factors. Maintain Supply/demand balances for global, domestic, and regional markets
• Design and implement analytical tools and models to solve complex problems
• Analyze large data sets 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 to internal business challenges

Requirements:

Education and/or Experience, Knowledge, Skills & Abilities:

• BS degree in Finance/Business/Engineering or other related discipline
• Proven experience as a data scientist
• Knowledge of Python, R, SQL or other related coding platforms
• Strong math skills
• Excellent communication skills

Required experience is commensurate with the selected job level:

• The Specialist/Analyst level requires a Bachelor's degree and 2-5 years of relevant job related experience
• The Senior Specialist/Analyst level requires a Bachelor's degree and 5-8 years of relevant job related experience
• The Lead Specialist/Analyst level requires a Bachelor's degree and 8+ years of relevant job related experience

Working Conditions:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

• Usually, normal office working conditions.
• Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.
• Occasional overnight travel may be required.
• Occasional visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment.