Data Engineer - Quantitative Research & Trading

Acquire Me; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Acquire Me’s client is a prominent New York quantitative hedge fund that runs systematic, computer-driven trading across equities, futures and FX. You will work closely with Quant Researchers to turn data into profitable trading insights and help generate alpha.

The role focuses on building bespoke data infrastructure, onboarding and analyzing large datasets, and deploying robust data checks in a fast-paced, collaborative environment.

Qualifications

• Bachelor’s degree or higher in computer science or other quantitative discipline.
• Proficiency in Python and SQL.
• Experience manipulating large data sets.
• Ability to work in a fast paced environment with a range of stakeholders.

Responsibilities

• Develop bespoke software solutions to design custom data infrastructure.
• Design, develop, and deploy structured software solutions for data analytics.
• Onboard data sets, analyze them, understand them, unearth anomalies and find the source.
• Developing robust data checking and storage procedures.
• Collaborate with Quant Researchers to turn data into insights and support alpha generation.

Skills

Python

SQL

Education

Bachelor’s degree in computer science or quantitative discipline

Job description

Our client is a small but highly successful quantitative driven hedge fund. The business deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including Equities, Futures & Foreign Exchange.

As a valued member of this tight knit, high profile group within the firm you will work hand in hand with Quantitative Researchers to help turn data into profitable trading insights – working directly on signal research and alpha generation.

Job Description

• Developing bespoke software solutions to design custom data infrastructure
• Design, develop, and deploy structured software solutions for data analytics
• Onboard data sets, analyze them, understand them, unearth anomalies and find the source
• Developing robust data checking and storage procedures
• Bachelor’s degree or higher in computer science or other quantitative discipline from a renowned higher education institution
• Expert problem solver with experience manipulating large data sets
• Proficiency in Python, SQL
• Ability to work in a fast paced environment with a range of stakeholders