Quantitative Developer (Market Data Focus)

Aleto; Chicago (IL); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and equity package

Remote flexibility

Learning opportunities

Collaborative environment

Job summary

A financial technology firm in Chicago is seeking a skilled professional to own real-time order book reconstruction and develop live trading systems using C++ and Python. The ideal candidate possesses a strong interest in financial markets and has experience in big data processing and database management. This role offers a competitive salary, equity package, and a collaborative environment that values creativity and diversity.

Qualifications

• Strong interest in financial markets and quantitative trading.
• Experience with large-scale datasets.
• Familiarity with GPU programming is a plus.
• 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

• Ownership of real-time order book reconstruction.
• Develop and maintain live trading systems.
• Design and implement ETL pipelines for large-scale financial data.
• Experience operating core market data infra under trading pressure; 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

Database management

Spark/Hadoop

Cloud platforms

GPU programming

Trading algorithms

Quantitative finance interest

Education

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

Tools

Spark

Hadoop

SQL

AWS

GCP

Azure

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

• Ownership of real-time order book reconstruction (L3 / MBO)
• Low-latency streaming systems with correctness guarantees
• Production responsibility for data integrity, recovery, and backfills
• Experience operating core market data infra under trading pressure; 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.