Quant Trader at d-Matrix

Zug, Zug, Switzerland

d-Matrix Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cryptocurrency, FinanceIndustries

Requirements

  • Master’s degree in Physics, Mathematics, Quantitative Finance, Econometrics, or equivalent
  • Passion for crypto markets, always following developments and loving to watch markets
  • Competitive attitude and eagerness to constantly improve yourself
  • Team player with a competitive and goal-oriented mindset and strong analytical skills
  • Ability to spot opportunities and capitalize on them
  • Capability to make split-second decisions
  • Experience with programming (Python or another language)
  • Pro-active, self-starter, honest, flexible, and stress resistant

Responsibilities

  • Execute trades together with the trading team
  • Manage PnL
  • Handle day-to-day trading operations
  • Develop, maintain, and improve trading strategies
  • Work closely with the trading team, research team, and technology team

Skills

Python
Mathematics
Physics
Quantitative Finance
Econometrics
Trading
Programming
Analytical Skills

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

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.
Complex AI chip design could lead to delays or increased production costs.
Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
The company offers scalable AI solutions through modular, low-power chiplets.
d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.
Partnerships with companies like Microsoft could lead to strategic alliances.
Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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