Point72 Logo

Point72

Data Engineer

Reposted 3 Months Ago
In-Office
New York, NY, USA
Junior
In-Office
New York, NY, USA
Junior
The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.
The summary above was generated by AI

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.

Please send CVs to [email protected] with “2026 KEPL DE 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.

Point72 New York, New York, USA Office

55 Hudson Yards , New York, United States, 10001

Similar Jobs

Yesterday
Hybrid
New York, NY, USA
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and lead scalable cloud data pipelines, platforms, and end-to-end data solutions. The role involves distributed data engineering, data modeling, relational and NoSQL databases, real-time processing, warehousing, architecture decisions, and evaluating platforms such as Snowflake and Databricks. Responsibilities also include mentoring engineers, enforcing engineering standards, collaborating across Agile teams, and delivering transformative data initiatives independently.
Top Skills: AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaLakehouse ArchitectureMicroservicesAzureMongoDBMonte CarloNosql DatabasesPythonRedshiftRelational DatabasesScalaSnowflakeSparkSplunkSQL
3 Days Ago
Remote or Hybrid
United States
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills: DbtGcp Bigquery
7 Days Ago
Hybrid
New York, NY, USA
124K-177K Annually
Senior level
124K-177K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Designs and develops scalable full-stack applications, enterprise integrations, APIs, and data flows across trading, accounting, and data warehouse platforms. Builds reusable software components, conducts technology proofs of concept, and applies Generative AI and LLM technologies to improve investment business processes. Collaborates with product, architecture, engineering, business, and offshore teams while ensuring reliable, secure, maintainable solutions. Requires extensive software development, cloud, data engineering, CI/CD, and financial technology experience.
Top Skills: .Net CoreAngularAWSAws BedrockAzureC#Ci/CdClaudeETLGCPGitHarnessJenkinsJIRAMcpOpenaiPythonSQLTeam Foundation ServerTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account