Quantitative Developer

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

About the company

At Aleto, we’re building a bespoke asset management platform designed specifically for the RIA community-and we’re just getting started. Our team is grounded in humility, fueled by determination, and driven by a deep sense of curiosity. We value self-starters who are optimistic, intellectually hungry, and excited to solve complex problems alongside a collaborative, high-performing team. If you’re looking to grow with a firm and passionate about what you do, we’d love to meet you.

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.

Required Qualifications & Skills

• 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.

Preferred Skills

• Experience with cloud computing platforms such as AWS, GCP, or Azure.
• Familiarity with GPU programming is a plus.
• Knowledge of trading algorithms and quantitative strategy development.

At Aleto, we foster a culture of exceptionalism, positivity, and diversity of thought. We value collaboration, creativity, and having fun while doing meaningful work. Team outings, learning opportunities, remote flexibility, and a supportive environment are just a few things you can expect.

We offer a competitive salary and equity package, based on experience and qualifications.

Aleto is proud to be an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not tolerate discrimination of any kind and hire based on skills, experience, and potential.