Careers


Dynamic Technology Lab Pte. Ltd. (DTL) aims to attract the best and brightest, and to train them to be the best in the industry. We are looking for smart, creative and detail-oriented individuals, with intellectual curiosity and enthusiasm, to explore principles behind financial markets.

Fundamental Quantitative Researcher

Job description:

The fundamental quantitative researchers develop trading ideas using fundamental and quantitative analysis. A mixed background of finance, programming and statistics is preferred for this position.

Qualification:
  • Recent Master/PhD from a finance, accounting, economics or related field. Bachelors with exceptional performance will also be considered
  • Key interest in financial markets
  • Attention to detail
  • Excellent analytical and financial skills

The following skills are bonus in recruitment and are required before on board

  • Intermediate programming skills
  • Comfortable with Linux/Unix

Quantitative Researcher

Job description:

The quantitative researchers design and backtest trading models, which form the most important elements in the final trading strategies. They work in groups or independently, depending on the projects and/or the researchers' preference. Creativity and innovation are what we are looking for in this position.

Qualification:
  • Recent Master/PhD from a science, engineering, or related field. Bachelors with exceptional performance will also be considered
  • Solid background in mathematics
  • Strong programming skills
  • Strong problem solving and quantitative skills
  • Possess the desire and will to learn complicated topics, to solve difficult problems, and to handle tedious tasks carefully

The following skills are bonus in recruitment and are required before on board:

  • Comfortable with Linux/Unix
  • Familiar with at least one scripting language, e.g. python, awk, etc

Front Desk Quant Developer

Job description:

The front desk quant developers maintain our trading/research capabilities in global markets and innovate how we do them.

Typical responsibilities include:

  • Optimizing the performance of various components of the trading system
  • Maintaining, enhancing backtest simulator
  • Exploring big-data infrastructure for research
  • Execution algorithms research
  • Working with researchers on high-frequency strategies
Qualification:
  • Expert programming skills in some well-known language, along with knowledge on computer system, e.g. networking, threading, etc.
  • Ability to write sizable applications and manage complexity
  • Effective communicator and decision maker
  • Linux experience

The following skills are bonus:

  • Familiar with Linux kernel
  • Experience with hardware development, e.g. NIC, GPU, and FPGA etc.
  • System administration experience

Data Engineer

Job description:

Data Engineers coordinate with researchers to develop and manage data inventories and design framework to facilitate efficient processing of large-scale data. They monitor and maintain data production on a daily basis.

Qualification:
  • Highly detail-oriented
  • Strong problem-solving skills in python and good understanding of data structure/algorithms
  • Ability to prioritize work and multi-task
  • Ability to take responsibility and work well as a team member
  • Comfortable with Linux

The following skills are bonus:

  • Knowledge on database and big data tools like hadoop, spark
  • Web development experience
  • Experience with large data (>100G)

Operation Specialist

Job description:

Operation specialists are responsible for the global trading operation around the clock. They also work with researchers for deployment-related works

Typical responsibilities include:

  • Development and maintenance of data and jobs across cluster
  • Global trading activities monitoring
  • New broker/market onboarding
  • Maintenance of backtesting platform
Qualification:
  • Familiar with Linux commands
  • Good programming skills, especially in bash and python
  • Love to automate the daily work by programming as much as possible
  • Strong problem-solving skills

The following skills are bonus:

  • Interests in stock markets
  • Familiar with popular relation and/or NoSQL databases
  • System administrator experience

Quantitative Researcher (Internship)

Job description:
  • Focus on research topics with the guidance of senior researchers
  • Implement trading signals and quantitative strategies
Duration:
  • Full-time: at least 2 months
  • Part-time: at least 3 days per week for a minimum of 4 months
Location:

Shanghai

Qualification:
  • Master or PhD in Mathematics, Physics, Economics, Finance, Computer Engineering, Engineering, or other related fields from top universities. Applicants with a Bachelor’s degree and exceptional performance will also be considered
  • Strong mathematical and statistical skills
  • Good programming skills
  • Excellent problem-solving skills
  • Detail-oriented with the ability to handle tedious tasks carefully
  • Proactive and eager to learn complicated topics

The following skills are bonus and you will be required to complete learning projects before onboarding:

  • Experience with Linux/Unix
  • Familiar with at least one scripting language, e.g. Python, MATLAB, etc.

Return offer will be given upon exceptional performance during internship.

Data Engineer (Internship)

Job description:

Data Engineers interns maintain our data inventories, collect and clean the data we have gathered from various sources to make sure of the integrity, completeness and usefulness of our data.

Duration:
  • Part-time: at least 16 hours per week for 4 months
  • Full-time: at least 2 months
Location:

Singapore

Status Open to Singaporeans and PR holders. Foreign applicants must currently be a full-time student in Singapore.

Qualification:
  • Year 2 or Year 3 student pursuing a degree in Computer Science, Business Analytics, Engineering, Science.
  • Detail-oriented team player with strong problem-solving skills
  • Good knowledge in python and understanding of data structure & algorithms
  • Comfortable with Linux

The following skills are bonus:

  • Knowledge on database and big data tools like hadoop, spark
  • Web development experience
  • Experience with large data (>100G)