Quant Analyst 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, Trading, Digital AssetsIndustries

Requirements

Master’s degree or PhD in Physics, Mathematics, Quantitative Finance, Econometrics, or equivalent
Passionate and knowledgeable about mathematical modeling
Experience with programming (Python or another language)
Interested in and curious about trading and digital assets
Take ownership of your projects and can work independently

Responsibilities

Develop predictive models and write mathematical algorithms to improve automated software
Write code and create systems to handle complex data and processes
Design, test, and implement new trading strategies
Tweak existing trading strategies
Perform data analysis to understand the market and trading performance
Build tools to streamline or automate processes
Support traders by identifying improvements for trading strategies

Skills

Key technologies and capabilities for this role

PythonMathematical ModelingPredictive ModelsData AnalysisAlgorithm DevelopmentQuantitative Analysis

Questions & Answers

Common questions about this position

What compensation can I expect for this Quant Analyst role?

The position offers excellent remuneration including a discretionary bonus.

Is this Quant Analyst position remote or office-based?

This information is not specified in the job description.

What qualifications and skills are required for the Quant Analyst role?

Candidates need a Master’s degree or PhD in Physics, Mathematics, Quantitative Finance, Econometrics, or equivalent, experience with programming (Python or another language), and passion for mathematical modeling.

What is the company culture like for this position?

The environment is fun and inspiring with experienced colleagues, regular team dinners, a yearly office trip, and monthly meal allowance; employees have freedom to create their own ideas and take ownership of projects.

What makes a strong candidate for this Quant Analyst position?

Strong candidates have a relevant advanced degree, programming experience, passion for mathematical modeling and trading/digital assets, and the ability to take ownership and work independently on projects.

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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