About Us:
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Energy is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Energy to grow into one of the largest financial participants within the global energy complex.

**Responsibilities:
**

Assemble and maintain mixed-methods research on global crude oil network
Clean, synthesize, model, and present findings on a diverse set of data sources
Build PL-generating tools

Requirements:

Pursuing a BS or MS in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
Strong foundation in statistics, particularly time series
High-level understanding of machine learning
Proficiency in a statistical programming language such as Python, Julia, R, etc.
Systems thinking
Interest in doing work which contributes directly to performance on the trading floor

Nice to Have:

Data engineering proficiency
Experience working in a formal research environment
Experience with data visualization
Low-level experience working with a machine learning package of choice
Excel & VBA proficiency a plus
Experience building a knowledge base

2024 Fall Internship - Quantitative Researcher