1

Contractual Hedge Fund Python Jobs (NOW HIRING)

Data Engineer - New York

New York, NY ยท On-site

$125K - $150K/yr

... hedge fund. * Advanced data analysis skills in Python, with familiarity with Pandas, Polars, and/or Snowpark data frames. Experience with high-throughput, low-latency programming in C#, F#, C++, or ...

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... The ideal candidate will have a strong analytical mindset, foundational technical skills in Python ...

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... Python and the broader scientific computing ecosystem, including libraries such as Pandas, NumPy ...

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... The ideal candidate will have a strong analytical mindset, foundational technical skills in Python ...

General Counsel

New York, NY ยท On-site

$250K - $300K/yr

Pharo Management is a leading global macro hedge fund with a focus on emerging markets. Founded in ... Understanding of third-party due diligence requirements including required contractual terms when ...

Data Engineer

New York, NY ยท On-site

$200K - $250K/yr

... hedge fund in NYC looking for a talented Data Engineer to join their team. Qualified candidates will have 5-10+ years of professional experience. Specific hands-on experience with Python, SQL, AWS ...

Showing results 41-60

Contractual Hedge Fund Python information

See salary details

$13

$58

$86

How much do contractual hedge fund python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for contractual hedge fund python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
What cities are hiring for Contractual Hedge Fund Python jobs? Cities with the most Contractual Hedge Fund Python job openings:
What are the most commonly searched types of Hedge Fund Python jobs? The most popular types of Hedge Fund Python jobs are:
What states have the most Contractual Hedge Fund Python jobs? States with the most job openings for Contractual Hedge Fund Python jobs include:
Infographic showing various Contractual Hedge Fund Python job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Engineer - New York

Jain Global

New York, NY โ€ข On-site

$125K - $150K/yr

Full-time

Re-posted 16 days ago


Job description

Job Description:

Data Engineer

Location: New York

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong, we are looking to add to our growing teams.

Responsibilities

  • Implement customer-centric data products: Collaborate with customers to understand their specific needs, then translate them into robust, scalable data solutions suited to the pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with customers to increase its value; and work with the Data Platform team to maximize platform effects and firm-wide utility.

  • Implement automated Data Quality checks: Build automated data quality checks across the development and data lifecycle to ensure data accuracy, reliability, quality, and robustness with high confidence. Automate monitoring and alerting so issues are addressed immediately with minimal business impact.

  • Integrate with vendor & platform systems: Manage data feed integration with external vendors, focusing on fast onboarding and rigorous data validation, as well as integration with internal third-party trade, position-keeping, risk systems, and the firm's central Data Platform.

  • Contribute to platform development: 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.

  • Role-model continuous improvement: 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.

Qualifications & Experience

  • BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 4+ years financial industry experience in Front Office / Quant / organizations or on a PM desk, preferably with some time spent in a hedge fund.

  • Advanced data analysis skills in Python, with familiarity with Pandas, Polars, and/or Snowpark data frames. Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus.

  • Advanced SQL skills and experience with modern data storage and querying technologies such as Snowflake, Redshift, and BigQuery, as well as 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 to maintain high standards and support rapid change with confidence, preferably including DBT.

  • Familiarity with monitoring production systems using modern observability and alerting solutions such as Grafana/Prometheus, Datadog, or ELK is essential.

  • Hands-on experience with data pipeline orchestration tools such as Airflow, and data download mechanisms such as SFTP and vendor APIs.

  • Proficiency in integrating with third-party data providers and live-streaming vendor APIs commonly used in hedge funds would be ideal.

  • Familiarity with live market data, and reference data, ideally across a broad range of asset classes, hedge fund data workflows (sourcing, processing, analysis), real-time data needs, and financial compliance considerations (e.g. licensing, access control). Clear understanding of how data adds value to a hedge fund's business, and how that value can be increased

  • Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a scientific and collaborative mindset, ability to produce in an agile environment, and drive to complete projects independently.

We are an Equal Opportunity Employer

As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions.