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How much do investment technology group jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for investment technology group in the United States is $27.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $35.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Investment Technology Group professional, and why are they important?

To thrive in an Investment Technology Group role, you typically need a strong background in finance, quantitative analysis, and computer science, often supported by degrees in these fields. Proficiency with programming languages (such as Python, Java, or C++), financial modeling tools, and trading platforms is highly valued, along with certifications like CFA or FRM. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate across technology and investment teams. These skills are crucial for developing and maintaining innovative trading solutions, ensuring accuracy, and facilitating seamless integration of technology with investment strategies.

How does the Investment Technology Group role typically collaborate with portfolio managers and analysts?

Professionals in Investment Technology Group roles frequently work closely with portfolio managers and analysts to develop and maintain trading platforms, data analytics tools, and custom reporting solutions. This collaboration ensures that investment teams have seamless access to real-time data, robust analytics, and efficient order management. Regular communication and iterative feedback are common, as technology group members adapt systems to evolving investment strategies and regulatory requirements. Building strong relationships with stakeholders is essential for understanding their needs and delivering solutions that directly impact investment performance.

What is an Investment Technology Group?

An Investment Technology Group typically refers to a team or company that develops and provides technological solutions for investment management, trading, and financial analytics. These groups work at the intersection of finance and technology, creating tools like trading platforms, risk management systems, and data analytics software for institutional investors and asset managers. Their goal is to improve efficiency, transparency, and performance in the investment process. Investment Technology Group can also refer to the specific company, ITG, which is known for its electronic trading platforms and financial technology services.

What is the difference between Investment Technology Group vs Quantitative Analyst?

AspectInvestment Technology GroupQuantitative Analyst
Required CredentialsBachelor's degree in finance, computer science, or related field; often certifications like CFA or FRMDegree in mathematics, statistics, finance, or related; often CFA or CQF certifications
Work EnvironmentFinancial firms, trading floors, technology teams within investment firmsQuantitative research teams, hedge funds, investment banks
Employer & Industry UsageUsed by investment firms focusing on trading technology and infrastructureCommon in quantitative trading, risk management, and financial modeling

While both roles require strong analytical skills and finance knowledge, Investment Technology Group focuses on developing and maintaining trading platforms and technology infrastructure, whereas Quantitative Analysts primarily develop mathematical models to inform trading strategies. The roles often overlap in skills but differ in daily focus and responsibilities.

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Investment Technology Group jobs near you
Infographic showing various Investment Technology Group job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $56,785 per year, or $27.3 per hour.

Software Engineer - Investment Systems

Careers at KKR

New York, NY

$189K - $224K/yr

Other

Posted yesterday

Job description

TEAM OVERVIEW

The Investment Technology group at KKR builds and operates the systems that power the entire investment lifecycle-from deal sourcing and portfolio construction to risk management and monetization. We design platforms that connect data, people, and insights across Private Equity, Credit, Real Estate, Infrastructure, and Capital Markets, enabling investment teams to make faster, smarter decisions at scale. Our mandate is to transform how KKR invests by engineering shared, data-driven platforms that replace fragmented legacy tools with integrated solutions that drive efficiency, transparency, and alpha generation.

POSITION SUMMARY

As a Lead Engineer, you will serve as a senior hands-on technical leader responsible for coordinating cross-functional execution and delivering larger, more complex initiatives. You'll combine strong architectural understanding with delivery leadership, ensuring teams execute effectively through ambiguity.

RESPONSIBILITIES

  • Lead planning and execution of larger technical initiatives.
  • Drive technical design for complex features and systems.
  • Coordinate work across engineers, product partners, and stakeholders.
  • Identify and remove execution blockers to improve delivery efficiency.
  • Mentor engineers and strengthen technical depth across the team.
  • Ensure systems are reliable, scalable, and aligned with platform strategy.

QUALIFICATIONS

  • 8+ years of experience building enterprise-grade software solutions.
  • Bachelor's degree in computer science, engineering, or a related field preferred; or equivalent practical experience.
  • Extensive experience delivering complex, multi-component systems.
  • Strong architectural intuition and execution discipline.
  • Ability to lead technical delivery through ambiguity.
  • Proven track record of mentorship and technical influence.
  • Strong sense of ownership for outcomes and system health.

TECH STACK

AWS (EKS, RDS, Aurora), Python (FastAPI), React, PostgreSQL, Redis, Kestra (job scheduling), PySpark (ETL / Medallion model), with AI-assisted development tools used across the SDLC.

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