Software Engineer - Investment Technology

Software Engineer – Investment Technology | New York

An established investment management firm is adding an experienced software engineer to a central technology group that works closely with the firm's research and investment teams.

This is a hands-on development role at the intersection of software, data and quantitative investing . The work ranges from building systems that organize and deliver large financial datasets to developing applications and infrastructure used by researchers and investment professionals throughout the firm.

Rather than supporting a single strategy or team, the group builds technology intended to solve problems across the investment platform.

The opportunity

• Build software and data systems used in quantitative research and investment workflows.
• Design efficient ways to ingest, transform, store and retrieve large financial datasets.
• Develop internal applications, research tools and shared technology used across investment teams.
• Work directly with quantitative researchers to turn data and research requirements into production-quality systems.
• Automate workflows involving data, trading operations and investment processes.
• Improve the scalability, reliability and performance of existing platforms.
• Help shape the firm's evolving data and research technology architecture.

The background

We're looking for a strong software engineer with substantial Python experience and a track record of building data-intensive applications or platforms.

Experience with SQL/relational databases, cloud technologies and modern data infrastructure is important, along with strong fundamentals in software design and engineering.

A strong Computer Science or related technical education is preferred; an advanced degree is a plus.

Previous experience in investment management or trading is useful but not required . Strong engineers from technology, financial data, fintech or other technically demanding environments are very relevant—particularly those interested in working directly with quantitative researchers and investment professionals.

The environment is collaborative, technically sophisticated and close to the investment process, with considerable opportunity to see the direct impact of the technology being built.