Junior Quantitative Developer - Selby Jennings : Job Details

Position: Junior Quantitative Developer / Trader

Location: Chicago

Proprietary trading firm specializing in options and derivatives markets.

Role Overview

As a Junior Quantitative Developer / Trader, you will contribute to the research, development, and execution of systematic options trading strategies. Working closely with senior traders, quant researchers, and software engineers, you will gain hands-on exposure to the full lifecycle of quantitative trading—data analysis, strategy design, coding, backtesting, and real-time implementation.

This role is ideal for a driven individual with strong programming skills, a solid understanding of quantitative concepts, and a passion for financial markets.

Responsibilities

• Collaborate with senior traders to develop, test, and optimize systematic trading strategies.
• Write efficient, high-performance code to implement algorithms for real-time trading and analytics.
• Conduct data-driven research on market microstructure, volatility patterns, and trading opportunities.
• Build and maintain tools for pricing, risk management, and portfolio monitoring.
• Assist in analyzing PnL, identifying areas for improvement, and fine-tuning models.
• Monitor live trading systems, troubleshoot issues, and ensure robust execution.
• Stay informed about global market trends, derivatives pricing, and trading technology.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or related field.
• Technical Skills:
• Proficiency in C#, Python and/or C++ (or similar low-latency programming languages).
• Familiarity with SQL and working with large datasets.
• Understanding of algorithms, data structures, and optimization techniques.
• Quantitative Skills:
• Strong analytical and mathematical aptitude, particularly in probability, statistics, and linear algebra.

Additional Attributes:

• A genuine interest in financial markets and trading.
• Detail-oriented mindset with strong problem-solving skills.
• Eagerness to learn and adapt to new tools, technologies, and market challenges.

Preferred Experience

• Prior internship or experience in quantitative research, trading, or financial technology.
• Familiarity with market data feeds, time series analysis, or machine learning techniques is a plus.

If you are a highly motivated, hungry, driven individual with a passion for solving complex problems and working in the fast-moving world of options trading, please apply!