Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereNo government sponsor record covers this employer in this country.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
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Confirmed live todayWhen a source last listed this job as open.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
As a Quantitative Developer, you will work on a core team of technologists that build and improve the platforms that drive the trading team. You will work closely with the quantitative researchers to create and improve research, trading infrastructure, improve the scalability of the production systems, maintaining the production trading environment, troubleshooting problems, and developing software to automate and improve deployment, configuration, validation.
The team is looking for someone who will be passionate about development and demonstrates intellectual curiosity and an ability to solve difficult technical problems in a fast-paced and energetic environment.
What You'll Do:
• Full cycle development including researching and prod system, writing, testing & debugging code, deployment of finished code into the production environment and ensuring that all code is checked into the source code control system.
• Direct support of end users, trouble-shooting problems and upgrading applications
• Monitoring, troubleshooting, break/fix of production trading system
• Other duties as assigned or needed
Skills You’ll Need:
• Efficient in python, C++ and able to develop/maintain code for prod applications
• Strong analytical and problem solving skills
• Must be extremely detail-oriented
• Proven success working with large data sets
• Self-directed and comfortable taking ownership of projects and responsibilities.
• Reliable and predictable availability
Apply on employer site ↗