Junior Trader/Trading Assistant

About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. 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.

Overview:

Join a systematic trading desk that trades a broad range of financial products across global markets using proprietary algorithms and internally developed technology. In this role, you'll combine trading support, market analysis, and technical problem solving, with a focus on monitoring and improving trading strategies, debugging issues, and building automation tools. No prior trading experience required. We're looking for sharp, curious problem solvers who want to learn the business from the ground up.

Job Responsibilities:

Support the day to day operation of systematic and algorithmic trading strategies across multiple exchanges and asset classes

Monitor live trading activity, positions, and system behavior to quickly identify issues and anomalies

Assist in the design, testing, and refinement of trading algorithms and execution logic

Investigate trading and system issues through data analysis and debugging

Build and improve automation tools, scripts, and workflows that drive desk efficiency and reliability

Partner closely with traders and developers to enhance models, tools, and internal processes

Help monitor risk, positions, and trading activity in real time

Execute operational and support tasks with accuracy and accountability

Requirements:

0 to 3 years of experience in a similar role

Bachelor's degree in a quantitative or analytical discipline (e.g., math, statistics, computer science, engineering, economics, finance)

Strong numerical, analytical, and problem solving skills

Genuine interest in financial markets and systematic trading

Python strongly preferred; experience with any programming language is highly valued

Meticulous, responsible, and detail oriented

Independent, proactive, and a fast learner

Comfortable working under pressure in a fast paced environment

Strong written and verbal communication skills in English