Quant Data Engineer

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

Job summary

A systematic prop trading firm is seeking a Quant Data Engineer in Singapore. This role involves ingesting crypto data from various sources, delivering high-quality data to support research, and building scalable solutions for data management. Candidates should possess at least a Master's or relevant Bachelor's degree and have strong skills in Python, data processing, and a detail-oriented mindset. This position offers a unique opportunity to grow in a meritocratic and outcome-focused culture.

Qualifications

• 1 to 2 years of experience in processing and transforming large datasets.
• Strong software design and development skills in Python, Java or other OOP language.
• Familiarity with cloud environments and Linux.

Responsibilities

• Architect, implement and operate a pipeline for ingesting crypto data.
• Deliver high-quality, highly available, normalized data for research applications.
• Build a scalable platform for data monitoring and quality assurance.

Skills

Machine Learning

Algorithmic Trading

Big Data

Quality Assurance

Pipelines

Data Engineering

Python

Cloud

Linux

Education

Master’s degree or Ph.D. in Computer Science, Engineering, Physics, or related discipline

Bachelor’s degree in a relevant field

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

Skills

• Machine Learning
• Algorithmic Trading
• Big Data
• Quality Assurance
• Pipelines
• Architect
• Physics
• ETL
• Data Engineering
• Python
• Cataloguing
• Software Design
• Statistics
• Data Science
• Cloud
• OOP
• Linux

Location

Quant Data Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG