Quant Trader at d-Matrix

Singapore

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

Requirements

  • Master’s degree in Physics, Mathematics, Quantitative Finance, Econometrics, or equivalent
  • Always want to follow market developments
  • Teamplayer 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, a self-starter, honest, flexible and stress resistant
  • Passionate about the job, excited to follow developments in the crypto space, love watching the markets, competitive attitude, eagerness to constantly improve yourself

Responsibilities

  • Execution of trades
  • Responsible for PnL
  • Working on day-to-day trading operations
  • Developing, maintaining and improving trading strategies
  • Work closely with the trading team, research team, and technology teams

Skills

Key technologies and capabilities for this role

PythonMathematicsPhysicsQuantitative FinanceEconometricsTrading

Questions & Answers

Common questions about this position

What compensation and benefits are offered for this Quant Trader role?

The position offers excellent remuneration including a discretionary bonus, 20 vacation days, and additional benefits like regular dinners out, Friday afternoon drinks, yearly office trips, weekly massages, gym subscription, and monthly meal allowance.

Is this Quant Trader position remote or office-based?

This information is not specified in the job description.

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

Candidates need a Master’s degree in Physics, Mathematics, Quantitative Finance, Econometrics or equivalent, experience with programming (Python or another language), strong analytical skills, ability to spot and capitalize on opportunities, and capability to make split-second decisions.

What is the work environment and culture like at d-Matrix for Quant Traders?

It offers a fun and inspiring work environment with experienced and knowledgeable colleagues, close collaboration with trading, research, and technology teams, and team activities like Friday drinks and office trips.

What makes a strong candidate for this Quant Trader position?

Strong candidates are passionate about crypto markets, team players with a competitive and goal-oriented mindset, proactive self-starters who are honest, flexible, stress-resistant, and eager to constantly improve 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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