채용직군

포지션

담당업무

자격요건

Quant

Quant

Developer

ㆍ 사내 트레이딩 시스템 개발 및 개선

ㆍ Algorithmic Trading을 위한 Microservices 개발 및 유지보수
ㆍ 트레이딩 시스템의 backoffice / admin 개발 및 유지보수

ㆍ Java 언어 및 관련 framework에 대한 깊은 이해가 있으신 분

ㆍ Linux 환경에서 개발 및 운영 경험이 있으신 분

ㆍ AWS, GCP 등 Cloud 환경 경험

ㆍ 관계형 데이터베이스 시스템(RDBMS)과 SQL에 대한 이해를 가진 분

ㆍ 형상관리툴 사용경험이 있으신 분(GIt 등)

ㆍ 문서화에 적극적이신 분

Quant

Researcher

ㆍ Research new market features for predictive properties and
    generate novel ideas.

ㆍ Evaluate new datasets for alpha potential.

ㆍ Predict price movements using statistical models.

ㆍ Plan and manage research process from methodology selection,
    data collection and analysis, backtesting to performance monitoring

ㆍ Work collaboratively with a portfolio manager, technologists, traders

 and other researchers to build robust systematic trading strategies.

ㆍ Degree in finance, computer science, mathematics, statistics, physics or other quantitative discipline.

ㆍ Professional proficiency in English.

ㆍ experience performing an in-depth research project, examining real-world data 

ㆍ Deftness to translate data into its mathematical core and further into Python code in a Unix environment.

ㆍ Willingness to take ownership of his/her work, working both independently and collaboratively within a small team.

ㆍ Eagerness to be an expert in fast-paced and complex digital asset industry.

ㆍ Strong verbal and written communication skills.

Data

Scientist

• Identify relevant data sources for predictive features. 
• Process, cleanse, and verify the integrity of data. 
• Mine and analyse data for trends and patterns. 
• Develop statistical models and algorithms to predict future
  market movement. 
•  Plan and manage research process from methodology

selection, data collection and analysis, backtesting, to

performance monitoring. 
• Work collaboratively with other researchers in a small team. 
• Analyse the challenges and opportunities of blockchain-
  enabled digital assets in a quantitative manner.

• experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics,
  Computer Science or another quantitative field, and is familiar with the following software/tools: