Quantitative Developer

• 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.

• 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.

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

Equal Opportunity:

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.

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.