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Hedge Fund Machine Learning Jobs (NOW HIRING)

IQ-EQ

Manager - Fund Administration (Hedge Fund)

Norwood, MA · Hybrid

$78K - $106K/yr

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

Schonfeld

Head of Fund Accounting

New York, NY · On-site

$220K - $250K/yr

The Role We are looking for a Head of Fund Accounting for a global, multi-strategy hedge fund ... As an organization committed to investing in our people, we provide learning and educational ...

IQ-EQ

Manager - Fund Administration (Hedge Fund)

Norwood, MA · On-site

$78K - $106K/yr

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... Our learning and development programmes and systems (including PowerU and MyCampus) enable us to ...

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Hedge Fund Machine Learning information

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$25.5K

$42.6K

$88K

How much do hedge fund machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for hedge fund machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges a Hedge Fund Machine Learning professional may encounter?

As a Hedge Fund Machine Learning professional, you may work on projects involving the development of predictive models for market movements, portfolio optimization, anomaly detection, or automated trading strategies. Common challenges include sourcing high-quality financial data, managing noisy or incomplete information, and ensuring that models remain robust in dynamic market conditions. Additionally, you will often collaborate with portfolio managers, data engineers, and other quant researchers to translate model insights into actionable investment strategies. Overcoming these challenges requires both technical expertise and adaptability, offering significant opportunities for career growth and impact within the fund.

What are the key skills and qualifications needed to thrive in the Hedge Fund Machine Learning position, and why are they important?

To thrive in a Hedge Fund Machine Learning role, you need a strong background in quantitative analysis, statistics, programming (often in Python or R), and machine learning, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis libraries (like pandas, NumPy), machine learning frameworks (such as TensorFlow or scikit-learn), and experience with financial data sets or platforms is highly valuable. Effective communication, collaboration, and a strong problem-solving mindset are crucial soft skills in this role. These competencies are essential to designing and implementing robust trading models, navigating complex data, and working efficiently in a fast-paced, team-driven environment.

What is a Hedge Fund Machine Learning job?

A Hedge Fund Machine Learning job involves applying data science, artificial intelligence, and quantitative modeling techniques to improve trading strategies, risk management, and portfolio optimization. Professionals in this role develop and implement machine learning algorithms to analyze financial data, identify patterns, and generate predictive models for market behavior. They work closely with portfolio managers, traders, and quantitative researchers to enhance decision-making and generate alpha. Strong programming skills, expertise in statistics, and knowledge of financial markets are essential for success in this field.

More about Hedge Fund Machine Learning jobs
What cities are hiring for Hedge Fund Machine Learning jobs? Cities with the most Hedge Fund Machine Learning job openings:
What states have the most Hedge Fund Machine Learning jobs? States with the most job openings for Hedge Fund Machine Learning jobs include:
What job categories do people searching Hedge Fund Machine Learning jobs look for? The top searched job categories for Hedge Fund Machine Learning jobs are:
Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in the United States as of June 2026, with employment types broken down into 25% As Needed, 13% Full Time, 49% Part Time, and 13% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Full Stack Senior Lead Software Engineer- Hedge Fund Technology

Full Stack Senior Lead Software Engineer- Hedge Fund Technology

JPMorgan Chase & Co

Manhattan, NY

Full-time

Medical, Retirement

Posted 3 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Full Stack Senior Lead Software Engineer- Hedge Fund Technology at JPMorganChase within the Asset and Wealth Management Technology Organization- Highbridge Capital Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Highbridge Capital Management, LLC, a subsidiary of JPMorganChase, is a leading global alternative asset management firm established in 1992. With a focus on credit and volatility, Highbridge operates a diversified investment platform that includes hedge funds, traditional investment management products, and committed, closed-end vehicles designed for longer-term holding periods. Managing $4 billion in capital, we aim to deliver attractive risk-adjusted returns for a prestigious clientele, including institutional investors, public and corporate pension funds, sovereign wealth funds, endowments, foundations, and family offices. Our headquarters are in New York, with an additional office in London.

Job responsibilities

  • Directly engages with business users to gather and refine requirements
  • Designs, implements, and supports critical financial applications using Java and Python
  • Quickly understands and provides support for existing services and codebases
  • Quickly understands and supports the AWS Cloud Infrastructure platform used by the firm
  • Develops a comprehensive understanding of existing data models
  • Collaborates with third-party vendor systems for integration, upgrades, and ongoing issue resolution
  • Operates in a fast-paced, test-driven, agile development environment

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

  • Drives decisions that influence the product design, application functionality, and technical operations and processes

  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle

  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated robust programming experience in Java/Python and React JS
  • Experience with AWS Public Cloud Technologies and Terraform.
  • Proficient in Database technologies such as RDS Oracle and RDS SQL Server, with strong SQL query skills
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Exceptional problem-solving and debugging skills across full-stack applications and a strong passion for coding and technology

  • Ability to work effectively in a high-performance, fast-paced team environment. and curiosity, diligence, attention to detail, and a strong motivation to tackle complex problems

  • Flexibility to handle various roles from technical business analysis and development to DevOps, covering all aspects of the software development lifecycle.
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
 
  • Hedge Fund, Asset Management, and Investment Banking experience
  • Familiarity with Snowflake, Arcesium, Eze, and Bloomberg 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.

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