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Point72

Manages alternative investments across global markets

Software Engineer - Data & AI

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in data engineering, software engineering, or a related field.
  • At least 2 years of hands-on Python development experience.
  • Experience in system design and leading development efforts involving multiple contributors.
  • Strong knowledge of distributed data processing frameworks such as Spark.
  • Experience building scalable APIs, backend infrastructure, and software applications.
  • Hands-on experience with cloud platforms and services for data storage and compute, such as Amazon Web Services, Google Cloud Platform, or Azure.
  • Experience with workflow orchestration technologies such as Airflow.
  • Strong interest in staying current with artificial intelligence advancements and applying emerging techniques to real-world use cases.
  • Demonstrated integrity, ownership, commerciality, humility, adaptability, strong work ethic, and domain knowledge.
  • Commitment to the highest ethical standards.

Responsibilities

  • Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of artificial-intelligence-ready data assets.
  • Develop reusable software components, libraries, and application programming interfaces to support experimentation and production deployment.
  • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant.
  • Build scalable, artificial-intelligence-native, cloud-based infrastructure using distributed systems and modern cloud technologies.
  • Optimize system performance, cost, and reliability through benchmarking and continuous improvement.
  • Explore emerging data and artificial intelligence technologies, run proofs of concept, and convert successful ideas into business deliverables.
  • Partner with investment, research, data science, and compliance teams to turn research needs into production-ready data products and analytics.
  • Provide hands-on technical leadership, influence architecture and team processes, and support development efforts across engineers and stakeholders.
  • Deploy large language model-based tools and build agentic workflows for business impact.
  • Apply data science and engineering techniques to alternative datasets to uncover insights about companies, industries, and the broader economy.
  • Work with investment professionals, researchers, data scientists, and engineers to design, build, and launch end-to-end business solutions, including data pipelines, products, and tools that help extract value from data assets.

Desired Qualifications

  • Exposure to LangGraph, LangChain, embedding models, vector databases, or graph databases.

About the Company

Point72

Manages alternative investments across global markets

Point72 manages alternative investment funds for investors seeking actively managed exposure to public and private markets. Its investment teams research companies, analyze market data and trade across equities, currencies, fixed income and other assets through fundamental, systematic and macro strategies. Cubist is its systematic investing business, while separate teams pursue venture capital and private credit opportunities. The firm provides portfolio managers with research, technology, risk management and operational support, and earns advisory fees and performance-based compensation under each fund's terms. Point72 was founded in 2014 and is headquartered in Stamford, Connecticut.

Company size
1,001-5,000
Company stage
Private
Total funding
$10.3B
Headquarters
Stamford, CT
Founded
2014

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