Salary: Open
Employment Type: Permanent
Sub-industry: Investment Banking
Function: Technology

Company Overview

Global investment management firm built at the intersection of financial theory and practical application. They strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology powering their insights and analysis.

Job Description

• Global asset signal, data and risk estimation infrastructure incorporating millions of data points
• Intuitive research APIs leveraging cloud computing and cutting-edge visualizations
• High-performance historical simulation/back testing engine for vetting new alpha strategies
• Bespoke technology solutions that satisfy the needs of specific asset classes and research needs
• Partner with not only local but also global team of research engineers for successful product
delivery

Requirements

BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline
• 5+ years of experience as a programmer with expertise in at least one programming language out
of Python/Java/C++
• Work experience as Python programmer is desirable
• Ability to design elegant solutions and the ability to translate design into high quality code
• Good analytical and problem-solving skills• Good communication skills
• An interest in quantitative finance (no finance / trading experience required)
• Experience with NumPy / pandas or similar quantitative stack is a plus
• Demonstrated contributions to open-source software is also a plus
• An aptitude for mathematics, finance and econometrics is desired

Job reference: JO-210331-252397

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