Quant Data Engineer

NOVA PROSPECT PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A systematic trading firm in Singapore is seeking a skilled Data Engineer to join their team. The role involves architecting and implementing data pipelines for ingesting crypto data. The ideal candidate will have a Master's or Ph.D. in a relevant field, strong Python or Java skills, and 1-2 years of experience with large datasets. This position offers an opportunity to work closely with quants and contribute to impactful trading strategies in a collaborative and meritocratic environment.

Qualifications

• 1 to 2 years of experience in processing and transforming large datasets.
• Strong software design and development skills.
• Detail-oriented and systematic approach to working with data.

Responsibilities

• Architect and implement a data pipeline for ingesting crypto data.
• Deliver high-quality, normalized data to quant researchers.
• Build a scalable platform for data monitoring and quality assurance.

Skills

Data processing

Python

Java

Data science

Machine learning

Collaboration

Education

Master’s degree or Ph.D. in a relevant field

Bachelor’s degree in a relevant field

Tools

Cloud environments

Linux

Job description

Overview

Nova Prospect is a systematic prop trading firm, founded by industry experts who previously built some of the most successful businesses in algorithmic trading and finance. This is a rare opportunity to join a growing A-team with incredible talent density, meritocratic culture, no politics and razor-sharp focus on outcome. The ideal candidate is demonstrably among the best in their field, highly ambitious and a proven problem-solver with excellent judgement. Successful candidates will have the opportunity to learn from the best, grow their role significantly over time and build a highly rewarding, long-term career in systematic trading.

Responsibilities

• Architect, implement and operate a pipeline for ingesting crypto data from a wide range of different sources, covering both market data and alternative datasets
• Deliver high-quality, highly available, normalized data to our quant researchers and developers for research and production applications
• Build a scalable platform for data monitoring, quality assurance, and data cataloguing
• Closely collaborate with our quant researchers to identify opportunities to enhance our datasets and enable new research
• Apply data science and machine learning methods to create derived data and custom datasets, and to analyze our data
• Discover and source new datasets, and have a significant and quantifiable impact on our trading performance

Qualifications

• Master’s degree or Ph.D. in Computer Science, Engineering, Physics, Applied Math, Statistics, or related discipline; strong candidates with a Bachelor’s degree will also be considered
• 1 to 2 years of experience in processing and transforming large datasets, and a passion for exploring and working with data
• Strong software design and development skills in Python, Java or other OOP language
• Familiarity with cloud environments and Linux
• Systematic, detail-oriented and meticulous approach to working with data
• Ability to work closely with quant researchers and quant developers in a highly collaborative environment
• Exposure to data science and machine learning methods is a plus
• Experience working for a financial firm or data vendor in a data engineering role is a strong plus but not required – we will invest in the right candidate