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Hedge Fund Data Engineer Jobs (NOW HIRING)

Hedge Fund Risk Manager

Chicago, IL · On-site

$80K - $133K/yr

Conduct quantitative-focused due diligence on hedge fund managers * Assess manager performance ... Ability to interpret limited transparency data * Excellent communication and stakeholder management

Fund Lifecycle Specialist

Manhattan, NY · On-site

$140K - $185K/yr

Actual openings may vary based on employer type (asset manager, hedge fund, private equity firm ... Ensure accurate setup and ongoing maintenance of fund data across accounting, trading, reporting ...

New

Hedge Fund Risk Manager

Chicago, IL · On-site

$80K - $133K/yr

Conduct quantitative-focused due diligence on hedge fund managers * Assess manager performance ... Ability to interpret limited transparency data * Excellent communication and stakeholder management

Hedge Fund Risk Manager

Chicago, IL · On-site

$80K - $133K/yr

Conduct quantitative-focused due diligence on hedge fund managers * Assess manager performance ... Ability to interpret limited transparency data * Excellent communication and stakeholder management

Showing results 41-60

Hedge Fund Data Engineer information

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$46K

$165K

$243.5K

How much do hedge fund data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for hedge fund data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a hedge fund data engineer?

A Hedge Fund Data Engineer is responsible for designing, building, and maintaining data pipelines that support quantitative research, trading, and risk management. They work with large financial datasets, optimize data storage and retrieval, and ensure data quality and integrity. This role requires expertise in programming languages like Python or SQL, cloud technologies, and big data frameworks. Data Engineers in hedge funds collaborate with portfolio managers, quantitative researchers, and IT teams to deliver timely and accurate data for investment decisions. Their work is crucial for enabling data-driven strategies and maintaining a competitive edge in the financial markets.

What are the typical daily responsibilities of a hedge fund data engineer?

As a Hedge Fund Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that ingest, process, and deliver market and alternative data critical for trading strategies. You’ll spend time collaborating with quantitative analysts, data scientists, and portfolio managers to understand their data requirements and optimize data workflows. Regular tasks also involve troubleshooting data issues, improving data quality, and ensuring systems meet performance and compliance standards. Working in an often fast-paced environment, you will need to balance immediate project demands with long-term system improvements to support the fund’s evolving needs.

What are the key skills and qualifications needed to thrive in the hedge fund data engineer position, and why are they important?

To thrive as a Hedge Fund Data Engineer, you need strong software engineering skills, deep knowledge of data architecture, and experience with quantitative or financial data, typically supported by a degree in computer science, engineering, or a related field. Expertise in Python, SQL, cloud platforms (like AWS or Azure), and ETL tools, along with knowledge of specialized financial data sources and industry certifications, are highly valued. Attention to detail, problem-solving ability, and effective communication are key soft skills for collaborating with portfolio managers, analysts, and IT teams. These capabilities are crucial for building robust data pipelines, ensuring data integrity, and enabling rapid, data-driven decision-making in high-stakes financial environments.

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Infographic showing various Hedge Fund Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Prime Financial Services - Hedge Fund Distribution - Associate

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 11 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

Job Summary

As an Associate on the Hedge Fund Distribution team, you will provide equity financing and securities lending coverage to hedge fund clients across cash and swap. The role is primarily focused on International markets and requires coordination with regional desks in Sydney, Tokyo, Hong Kong, Singapore, London, Paris, Sao Paulo to ensure an integrated global client experience. You should possess a strong work ethic, market knowledge and the ability to initiate and cultivate internal and external relationships across key stakeholders.

Job Responsibilities:

  • Develop and deepen strategic relationships with hedge fund clients from onboarding to product/market expansion
  • Identify and implement cash prime brokerage and swap financing solutions across NA, EMEA, and APAC regions
  • Provide securities lending expertise, including locate approvals, short interest estimates, and rate management
  • Monitor short interest and borrow trends at the security, sector, and market levels
  • Promote cash prime brokerage and swap capabilities across regions, leveraging product knowledge in over 50 markets
  • Advise on market access, documentation, financing efficiencies, and trading across cash and swap
  • Collaborate with Sales teams and other functional partners to deliver full-service coverage and identify new business opportunities

Required qualifications, capabilities and skills:

  • Minimum of 3 years experience in a client-facing role
  • Excellent verbal and written communication, negotiation and presentation skills
  • Proficient in extracting data from MIS reporting and using AI tools to produce insightful commentary
  • Capable of processing large volumes of information and managing flows in a fast-paced environment
  • FINRA Series 7 & 63 certifications required

Preferred qualifications, capabilities, and skills

  • International market experience and derivatives product knowledge
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