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Jain Global

Global multi-strategy investment firm

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A BSc, MSc, or PhD in Computer Science, Physics, Engineering, or a similar field, and at least 4 years of financial industry experience in Front Office, Quant organizations, or on a PM desk; hedge fund experience is preferred.
  • Advanced data analysis skills in Python and familiarity with Pandas, Polars, and/or Snowpark data frames.
  • Advanced SQL skills and experience with modern data storage and querying technologies such as Snowflake, Redshift, and BigQuery, and file formats such as Parquet and Iceberg.
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and related data storage and processing services such as AWS RDS (Postgres), S3, and MSK (Kafka).
  • Familiarity with Linux environments, Git, and modern DevOps practices.
  • Demonstrated experience in test automation, preferably including DBT.
  • Familiarity with monitoring production systems using observability and alerting solutions such as Grafana/Prometheus, Datadog, or ELK.
  • Hands-on experience with data pipeline orchestration tools such as Airflow, and data download mechanisms such as SFTP and vendor APIs.
  • Familiarity with live market data and reference data, ideally across a broad range of asset classes; hedge fund data workflows, real-time data needs, and financial compliance considerations such as licensing and access control.
  • A clear understanding of how data adds value to a hedge fund's business and how that value can be increased.
  • Effective communication with Front Office stakeholders and technology colleagues, a curious and scientific and collaborative mindset, the ability to produce in an agile environment, and the ability to drive projects independently.

Responsibilities

  • Implement customer-centric data products by collaborating with customers to understand their needs and translating them into robust, scalable data solutions for hedge fund operations; source, analyze, clean, and enrich data; iterate with customers to increase its value; and work with the Data Platform team to maximize platform effects and firm-wide utility.
  • Build automated data quality checks throughout the development and data lifecycle to ensure data accuracy, reliability, quality, and robustness; automate monitoring and alerting so issues are addressed immediately with minimal business impact.
  • Manage data feed integration with external vendors for fast onboarding and rigorous data validation, and integrate with internal third-party trade, position-keeping, and risk systems and the firm's central Data Platform.
  • Identify recurring customer needs and propose and implement configurable frameworks; ensure sufficient process telemetry to detect bottlenecks and issues and support high availability, robustness, and performance.
  • Maintain high standards of technical and analytical excellence, ownership, and customer care; mentor junior analysts, support hiring, and streamline workflows to improve data quality, efficiency, and decision-making.

Desired Qualifications

  • Experience with high-throughput, low-latency programming in C#, F#, C++, or Java.
  • Proficiency in integrating with third-party data providers and live-streaming vendor APIs commonly used in hedge funds.

About the Company

Jain Global

Global multi-strategy investment firm

Jain Global is a global multi-strategy investment firm with seven active strategies: fundamental equities, rates and macro, equity arbitrage, credit, commodities, systematic trading, and Asia-Pacific, operating from offices around the world. Its approach uses a centralized technology platform and disciplined risk controls to run each strategy as a core business unit. The firm differentiates itself through its scale, integrated structure, and tech-enabled collaboration across global teams. Its goal is to deliver steady, diversified capital growth for investors by combining multiple investment approaches under one umbrella with rigorous risk management.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2024

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