Quant Developer at d-Matrix

Zug, Zug, Switzerland

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative Finance, TradingIndustries

Requirements

Master’s degree in Physics, Mathematics or Computer Science, or equivalent, with exceptional grades (attending a top 200 university and top tier grades such as CH: 5.5, UK: >70%, NL: 8.0, DE: <1.6, FR: A, IT: 110L or equivalent; exceptional skills, experience, or achievements may complement slightly lower grades)
Highly proficient in various programming languages
Comfortable in a Linux/Unix environment (commandline, SSH, etc.)
Experience with version control (git)
Accurate coder who works with strict coding practices to minimize the risk of errors
Teamplayer with easy and clear communication
Pro-active, flexible and stress-resistant

Responsibilities

Develop software and models that are crucial components in automated trading strategies
Write code and create systems that can handle complex data and complex processes
Combine technical and practical aspects to find the best solutions for trading strategies
Ask the right questions, analyse projects, do research, backtest and implement solutions

Skills

Git

Linux

Unix

SSH

Command Line

Backtesting

Quantitative Modeling

Automated Trading

Data Processing

Coding Standards

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees