Point72
Join to apply for the
Quantitative Software Developer
role at
Point72 Join to apply for the
Quantitative Software Developer
role at
Point72 Get AI-powered advice on this job and more exclusive features. About Cubist:
Cubist Systematic Strategies is one of the worlds 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.
Please send CVs to kepl-talent@cubistsystematic.com with
2025 KEPL QD Application
in the subject line.
Role:
We are looking for a quantitative software developer 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.
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Engineering and Information Technology Referrals increase your chances of interviewing at Point72 by 2x Get notified about new Software Engineer jobs in
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Quantitative Software Developer
role at
Point72 Join to apply for the
Quantitative Software Developer
role at
Point72 Get AI-powered advice on this job and more exclusive features. About Cubist:
Cubist Systematic Strategies is one of the worlds 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.
Please send CVs to kepl-talent@cubistsystematic.com with
2025 KEPL QD Application
in the subject line.
Role:
We are looking for a quantitative software developer 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.
Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Referrals increase your chances of interviewing at Point72 by 2x Get notified about new Software Engineer jobs in
New York, United States . New York, NY $100,000.00-$200,000.00 1 year ago Software Engineer (L4) - Ads Measurement
New York, United States $100,000.00-$720,000.00 2 weeks ago New York, NY $150,000.00-$200,000.00 4 months ago New York, NY $90,000.00-$140,000.00 1 year ago Software Engineer, Search Infrastructure
New York, NY $220,000.00-$260,000.00 2 weeks ago New York, NY $175,000.00-$250,000.00 2 weeks ago New York, NY $170,000.00-$250,000.00 2 weeks ago Brooklyn, NY $150,000.00-$200,000.00 1 month ago New York, NY $130,000.00-$180,000.00 4 months ago New York, NY $150,000.00-$180,000.00 1 week ago New York, United States $55.00-$60.00 4 days ago New York, NY $150,000.00-$200,000.00 1 month ago New York, NY $90,000.00-$120,000.00 1 month ago New York, NY $140,000.00-$170,000.00 3 weeks ago New York, NY $140,000.00-$200,000.00 3 months ago New York, NY $140,000.00-$185,000.00 2 weeks ago New York, NY $56.25-$173,000.00 6 hours ago New York, United States $142,600.00-$196,200.00 2 weeks ago Brooklyn, NY $100,000.00-$150,000.00 1 week ago New York, United States $155,000.00-$213,200.00 1 week ago New York, NY $120,000.00-$180,000.00 3 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr