Quantitative Trading Systems Engineer — Remote & Equity

Aleto; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Team outings

Learning opportunities

Remote flexibility

Equity package

Job summary

Aleto is building a bespoke asset management platform for the RIA community. You will develop and maintain live trading systems, collaborating with researchers to design backtesting platforms and scalable data pipelines. The role emphasizes performance, reliability, and handling large financial datasets.

We encourage curiosity and collaboration within a high-performing team, with remote flexibility and opportunities for growth. Equity package offered based on experience and qualifications.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in C++ and Python, with strong system design skills and the ability to balance performance, reliability, and availability.
• Strong interest in financial markets, market microstructure, and quantitative trading.
• Experience in big data processing and database management, working with large-scale datasets using Python, Spark/Hadoop, and SQL.

Responsibilities

• Develop and maintain live trading systems, ensuring high performance, reliability, and scalability.
• Collaborate with quantitative researchers to design, implement, and enhance research platforms, including backtesting systems.
• Design and implement ETL pipelines to process and manage large-scale financial data efficiently.

Skills

C++

Python

System design

Big data processing

SQL

Education

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field

Tools

Spark/Hadoop

AWS

GPU programming

Trading algorithms

Job description

Aleto is building a bespoke asset management platform for the RIA community. You will develop and maintain live trading systems, collaborating with researchers to design backtesting platforms and scalable data pipelines. The role emphasizes performance, reliability, and handling large financial datasets.

We encourage curiosity and collaboration within a high-performing team, with remote flexibility and opportunities for growth. Equity package offered based on experience and qualifications.