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Hedge Fund Python Jobs in New York (NOW HIRING)

Data Engineer - New York

New York, NY · 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 ...

Senior Risk Strategist

New York, NY · On-site

$150K - $200K/yr

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... Python, R, or similar) and comfort dealing with financial data • Strong communication and ...

Data Engineer - New York

New York, NY

$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 ...

Data Engineer

New York, NY · 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 21-40

Hedge Fund Python information

What are typical projects or responsibilities for a hedge fund Python?

Hedge Fund Python developers are often tasked with designing and implementing quantitative models, automating trading strategies, analyzing large financial data sets, and optimizing performance of trading systems. They collaborate closely with portfolio managers, researchers, and other technologists to translate complex investment ideas into robust, scalable code. A typical workday may involve troubleshooting data pipelines, enhancing risk analytics tools, or integrating new data sources. This role provides opportunities to have a direct impact on investment outcomes and gain exposure to innovative financial technologies.

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

To excel as a Hedge Fund Python developer, you need strong proficiency in Python programming, quantitative analysis, and a degree in computer science, mathematics, or a related field. Familiarity with libraries like NumPy, pandas, and financial systems such as Bloomberg, along with experience in version control systems like Git, is highly valued. Exceptional problem-solving skills, attention to detail, and effective communication are key soft skills for this role. These qualifications are essential for building robust financial models, collaborating with investment teams, and ensuring innovative, accurate solutions in a high-stakes environment.

What is a hedge fund Python?

A Hedge Fund Python job involves developing and maintaining financial models, trading algorithms, and data analysis tools using Python. Professionals in this role work with large datasets, optimize trading strategies, and collaborate with portfolio managers and quantitative researchers. Strong knowledge of Python, financial markets, and quantitative analysis is essential.

What are the most commonly searched types of Hedge Fund Python jobs in New York? The most popular types of Hedge Fund Python jobs in New York are:
What cities in New York are hiring for Hedge Fund Python jobs? Cities in New York with the most Hedge Fund Python job openings:
Infographic showing various Hedge Fund Python job openings in New York 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.

Hedge Fund Investment Risk Manager - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Posted 17 days ago


Job description

Senior Investment Risk Manager – Multi-Strategy

New York | Global Alternative Investment Manager

An established global investment manager is looking to appoint a senior risk professional to support the expansion of several sophisticated relative-value and arbitrage strategies.

This is an investment-facing role within a highly regarded risk function. The successful candidate will work closely with portfolio managers and senior investment professionals, providing independent analysis and helping teams understand how portfolios may behave across different market environments.

The position requires someone who can combine quantitative rigor with strong market judgement. It would suit an experienced practitioner who enjoys engaging with investment teams, investigating complex exposures and developing practical solutions—not someone seeking a predominantly governance or reporting-focused role.

Responsibilities

  1. Analyse portfolio exposures across equities, derivatives and credit markets.
  2. Identify concentrations, correlations, liquidity constraints and nonlinear risks.
  3. Evaluate how portfolios could perform during stressed or rapidly changing market conditions.
  4. Develop a detailed understanding of the investment rationale behind individual positions and broader portfolio themes.
  5. Work directly with portfolio managers to communicate findings and constructively challenge risk-taking.
  6. Improve the analytical methods used to assess relative-value and arbitrage portfolios.
  7. Design clear monitoring tools that help investment teams make better-informed decisions.
  8. Assess the implications of new instruments, strategies and portfolio structures.
  9. Present analysis to senior risk and investment stakeholders.
  10. Contribute to wider analytical and risk-development projects across the organisation.

Candidate profile

  1. Significant experience in an investment, trading, quantitative or risk position within a hedge fund, investment bank or similarly sophisticated markets environment.
  2. Strong knowledge of several relevant areas, which may include:
  3. Equity derivatives and volatility
  4. Relative-value trading
  5. Corporate and structured credit
  6. Convertible securities
  7. Event-driven investing
  8. Capital-structure or cross-asset arbitrage
  9. The ability to interpret complex portfolios and identify relationships that may not be apparent from conventional risk measures.
  10. Strong quantitative training, supported by a degree in a numerate subject or equivalent professional experience.
  11. Working programming ability in a mainstream analytical language, ideally Python or a comparable technology.
  12. Excellent financial-markets intuition and an understanding of how liquidity, positioning and market structure can affect portfolio behavior.
  13. The confidence and credibility to engage directly with experienced portfolio managers.
  14. Strong written and verbal communication skills, with an ability to explain complicated risks clearly.
  15. A practical approach to problem-solving and a record of taking ownership of analytical projects.
  16. High standards of accuracy, data integrity and presentation.

The opportunity

This is a genuinely influential appointment rather than a conventional control-function position. The successful candidate will be expected to enhance the investment process, develop new ways of analysing risk and contribute informed judgement to portfolio-level decisions.

The role provides exposure to a broad range of sophisticated strategies, regular interaction with senior decision-makers and the opportunity to join a well-resourced platform continuing to invest in its risk capabilities.

The position is based inNew York and offers a highly competitive, individually structured compensation package.

All inquiries and applications will be handled in strict confidence.