Junior Software Engineer-Quantitative Research

Quant Blueprint LLC; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Voleon, a leading technology company in the finance sector, seeks a Member of Research Staff to engage in cutting-edge statistical machine learning focused on financial market prediction and portfolio optimization. Your efforts will directly influence trading strategies with substantial financial impact.

Qualified candidates will have a solid academic background and the ability to navigate and apply complex models in real time. The position supports relocation and visa eligibility, underscoring our commitment to attracting top talent.

Qualifications

• Strong background in statistical machine learning.
• Ability to work with complex datasets and predictive models.
• Experience in financial market prediction is a plus.

Responsibilities

• Conduct research and apply findings to real-world financial problems.
• Collaborate with colleagues on machine learning applications.
• Help direct billions of dollars in trades daily.

Job description

Overview

Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Role and Responsibilities

• As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists (see management bios), Voleon supports a culture of curiosity, collegiality, and creativity.
• Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we\'ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous.
• Years of academic training has prepared you for this moment. You won\'t just conduct research, you\'ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field.

Relocation and visa eligibility

Relocation and work visa eligibility for qualified candidates.