Senior Research Engineer (Python)

Asset Management Firm #003


We are looking for an experienced Research Engineer to partner directly with our trading and research teams and play a key role in research, development of investment strategies and other mission critical projects. We construct the foundation upon which cutting-edge analysis is done across our Equity Quantitative Research and Global Trading groups, which meaningfully improves the investment process. Our team’s guiding purpose is to enhance the effectiveness of quants by building an efficient research environment; there are a multitude of in-flight projects and countless opportunities to contribute to the firm in ways that are transparent and highly impactful.

If you aspire to:

1. Creatively solve problems by understanding and prioritizing business values and applying technical solutions

2. Own the end to end engineering process from discussing quantitative models with the QR’s to working with them to implement, research, analyze and productionize the models on to the markets

3. Transform petabytes of data into modern statistical models and/or operate close to hardware to execute the trades

4. Architect and deliver scalable environments for Quantitative Researchers to operate and collaborate in


· Bachelor’s Degree in Computer Science, Mathematics, Statistics, or related field with demonstrated strong CS fundamentals

· At least two years of experience working in a quantitative development role; Experience working with quantitative researchers and large development teams; or four plus years of industry experience

· Strong Python developer and reviewer

· Experience with distributed compute tools in Python preferred

· Practical understanding of SDLC best practices

· Test oriented individual who is used to building/maintaining reusable code

· Fast learner who always enjoys new challenges

· Strong verbal and written communication skills

· C++, R and/or KDB/Q valued but not required

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