Quant Researcher — Build Data-Driven Trading Models

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is a prop trading firm focused on applying technology and statistical modeling for price discovery in financial markets. The team collaborates on multiple strategies and assets worldwide, offering opportunities to develop advanced trading systems.

The role requires deep proficiency in C++, strong mathematical background, and experience with large data sets. You will work on data-driven projects, improve risk controls, and mentor junior traders in a dynamic,

Qualifications

• 3+ years of experience in a risk-taking role
• Bachelor, Masters or Ph.D. degree in any scientific field
• Experience in linear algebra, statistics, and interaction with large datasets
• Strong understanding of statistical approaches and predictive modeling techniques
• A calculated risk-taker with demonstrated experience monetizing opportunities in financial markets
• Excellent verbal and written communication skills
• Strong proficiency in C++
• Programming languages R, Python, Lua are a plus

Responsibilities

• Explore trading ideas by analyzing market data with fundamental statistical theories
• Apply programming, quantitative and statistical skills to the research of market trends, reversions, patterns, and complete data-driven projects
• Apply statistical techniques throughout the whole process from data mining to execution
• Be self-sufficient designing, building, maintaining and enhancing a systemic and data-driven approach with tools necessary to test and evaluate trading algorithms and business opportunities
• Conduct research to improve risk management, revenue capture, and market coverage and contribute to libraries of analytic tools for market data analytics and trade strategy optimization
• Adhere to risk and capital usage limits
• Coordinate daily trading activities with operations, trading support, brokers, among others
• Use data analysis tools to identify and respond to unique market opportunities
• Use cutting edge technology to build out effective trading strategies
• Mentor, manage or train junior traders to complete projects and learn all facets of trading

Skills

C++ proficiency

Statistical modeling

Data analysis

Education

Bachelor, Masters or Ph.D. in any scientific field

Tools

C++

R

Python

Lua

Job description

United States Digital Space LLC is a prop trading firm focused on applying technology and statistical modeling for price discovery in financial markets. The team collaborates on multiple strategies and assets worldwide, offering opportunities to develop advanced trading systems.

The role requires deep proficiency in C++, strong mathematical background, and experience with large data sets. You will work on data-driven projects, improve risk controls, and mentor junior traders in a dynamic,