Data Engineer

Canvas Fundamental Research Group; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Cubist Systematic Strategies in New York is seeking a data engineer to join KEPL and contribute to multiple initiatives expanding our data and trading infrastructure.

You will enhance ETL pipelines, work with Python, SQL and Pandas, and help scale research across assets. A Master/PhD in a quantitative field and 1–3 years of relevant experience are required.

Qualifications

• Master/PhD in a quantitative field such as math, CS, or engineering.
• 1–3 years of professional software or data analytics experience.
• Strong quantitative and programming abilities with Python.
• Familiarity with SQL, Pandas and Linux environments.

Responsibilities

• Improve data ETL pipelines and build tools to analyze new data efficiently.
• Build technologies to bolster research and trading efficiency.
• Expand to new markets and asset classes.
• Manage day-to-day operations in a fast-paced environment.

Skills

Python programming

Quantitative analysis

Data analysis

Strong programming skills

Communication skills

Education

Master/PhD in math, CS, engineering, or related field

Tools

SQL

Pandas

Linux

Job description

Experience Early Career

Location

New York

Focus

Systematic Investing

Business

Cubist

About Cubist

Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role

We are looking for a data engineer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities

• Improve data ETL pipeline and build tools to analyze new data efficiently.
• Build technologies to bolster research & trading efficiency.
• Expand to new markets and asset classes.
• Manage day-to-day operations in a fast-paced environment.

Requirements

• Master/PhD degree in math, computer science, engineering, or other related fields.
• 1-3 years of professional experience in software development or data science/analytics.
• Strong combination of quantitative skills and programming skills.
• Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
• Familiarity with the Linux environment.
• Excellent written and verbal communication skills.
• Willing to work in a fast-paced start-up environment.
• Commitment to the highest ethical standards.

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.