Senior Energy Trader - P&L Owner & Quant Models

DV Trading LLC; New York (NY); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care Options

Employer Paid Life and AD&D insurance

Voluntary LTD, Life & AD&D insurance

Flexible Vacation policy

Retirement plan with employer match

Job summary

DV Commodities, a division of DV Group, seeks an energetic energy trader to own P&L across energy desks. You will build fundamental and quantitative models, collaborate with risk teams, and work closely with senior traders to share best practices and expand profitable opportunities.

The role demands proven energy trading experience, a fast-learning mindset, and strong quantitative skills in Excel/VBA, SQL, and Python.

Qualifications

• Energy trading experience required.
• Self-starter with entrepreneurial spirit.
• Able to learn quickly in a fast-paced, high-pressure environment.
• Targeted ISO experience and knowledge of fundamental grid.
• Detail oriented, organized, diligent.

Responsibilities

• Primary owner of P&L in one or multiple energy areas.
• Build and maintain fundamental and quantitative trading models.
• Work with risk to ensure compliance with risk management metrics.
• Collaborate with senior energy traders to share best practices.
• Learn proprietary methodologies and trading systems used by the business.
• Grow existing trades and P&L while identifying new opportunities.

Skills

Energy trading

P&L management

Quantitative modelling

Excel/VBA

SQL/Python

Statistical analysis

Team collaboration

Fast learner

Problem solving

Tools

Excel

VBA

SQL

Python

Job description

DV Commodities, a division of DV Group, seeks an energetic energy trader to own P&L across energy desks. You will build fundamental and quantitative models, collaborate with risk teams, and work closely with senior traders to share best practices and expand profitable opportunities.

The role demands proven energy trading experience, a fast-learning mindset, and strong quantitative skills in Excel/VBA, SQL, and Python.