Quantitative Analyst II
AffirmSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantitative Finance, TradingIndustries
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 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
Python
Mathematical Modeling
Predictive Models
Data Analysis
Algorithms
Trading Strategies
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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