DRW

C++ Software Developer

Chicago, Illinois, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, TradingIndustries

Requirements

Candidates must have a degree in Computer Science, Computer Engineering, or a related engineering discipline, graduating between December 2025 and June 2026. Excellent software development skills in modern C++, a strong understanding of object-oriented design, data structures, and algorithms are required. A solid foundation in programming, strong problem-solving and analytical reasoning skills, and excellent communication and collaboration skills are also necessary. Experience in high-performance, multi-threaded, network programming, previous exposure to trading systems or the trading industry, and a low-level understanding of machine learning pipelines are considered additional advantages.

Responsibilities

The C++ Software Developer will learn the inner workings of a low latency automated trading platform and the fundamentals of trading. They will design, develop, and test proprietary software, including low-level optimizations for data processing, automated trading strategies, risk management platforms, exchange protocol adapters, real-time trading simulators, and inter-process communication mechanisms. Responsibilities also include collaborating with experienced teammates to implement custom solutions, working with researchers to implement studies and develop algorithms, designing trading strategy simulation software, developing software for large-scale data acquisition, storage, access, and visualization, creating user interfaces for data exploration, and accelerating the research lifecycle from prototype to production deployment.

Skills

C++
Systems Programming
Low Latency
Data Processing
Automated Trading Strategies
Risk Management
Exchange Protocols
Trading Simulators
Inter-process Communication
Algorithms
Data Acquisition
Data Storage
Data Visualization
User Interface Development
Problem Solving
Software Development

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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