2027 Quantitative C++ Developer Intern

Schonfeld
Hong Kong, Hong Kong SAR China
On-site

Who this role is best for

Aimed at mid-level to advanced C++ developers with competitive programming experience who are interested in finance and AI integration.

Best fit for

  • Candidates with strong C++ skills and a background in competitive programming
    — “Competitive programming achievements or strong contest rankings — ICPC, CCPC, Codeforces (2000+ or equivalent)”
  • Individuals interested in applying agentic AI to quantitative workflows
    — “genuine curiosity about applying agentic AI tools to real-world quantitative workflows”
  • Those with prior experience in quantitative systems or market data processing
    — “Prior experience on quantitative projects such as strategy backtesting, high-frequency trading systems or market data engines”

Things to consider

  • The internship includes the summer and may require long-term commitment
    — “The internship will be 3-6 months, including the summer”

How to stand out

  • Highlight experience with lock-free data structures and Linux development
    — “Comfortable working in a Linux development environment”
  • Showcase projects involving C++ optimization and low-latency systems
    — “Develop and optimize low-latency trading systems”
  • Emphasize contributions to open-source projects or AI tooling
    — “A record of open-source contribution”
  • Demonstrate ability to translate strategy logic into code
    — “Collaborate with quantitative researchers and traders to translate strategy logic into efficient, robust code”
  • Include Python experience for rapid prototyping and integration
    — “Proficiency in Python for rapid prototyping, data analysis and integration with C++ modules”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop and optimize low-latency trading systems
  • Implement high-performance data structures and algorithms
  • Integrate agentic AI and LLM tools
  • Collaborate with quantitative researchers and traders
Typical background
Bachelor's or Master's degree in Computer Science or related fieldStrong C++ fundamentalsExperience with agentic AI and LLM applications

Skills & requirements

Required

C++Linux DevelopmentData Structures And AlgorithmsAgentic AI And LLM Applications

Preferred

PythonCompetitive Programming AchievementsQuantitative Projects ExperienceMultithreading And ConcurrencyNetwork Programming

Stack & domain

C++LinuxAgentic AILLM ApplicationsPythonCompetitive ProgrammingTeamworkLeadershipQuantitative FinanceTrading SystemsMarket Data Processing

About the role

Original posting from Schonfeld via Greenhouse

The Role 

We are seeking a Quantitative C++ Developer Intern to join our team and contribute to the high-performance systems that power our trading strategies, market data processing and research infrastructure. The role will suit someone with strong competitive programming instincts, solid C++ fundamentals, and genuine curiosity about applying agentic AI tools to real-world quantitative workflows. The internship will be 3-6 months, including the summer. 

What You’ll Do 

Develop and optimize low-latency trading systems, market data engines and strategy back testing frameworks. 

Implementing the high-performance data structures and algorithms that underpin core modules. 

Explore and integrate agentic AI and LLM tools to support strategy research, code generation and research workflows. 

Collaborate with quantitative researchers and traders to translate strategy logic into efficient, robust code. 

Write clear technical documentation and help build reusable components and tooling. 

What You’ll Bring  

Pursuing a Bachelor's or Master's degree in Computer Science or a related field. 

A strong foundation in C++ (C++17 or later), including the STL, memory management and template programming. 

A solid grasp of data structures and algorithms and the ability to analyze time and space complexity. 

Comfortable working in a Linux development environment. 

Hands-on experience with agentic AI and LLM applications. 

Strongly Preferred 

Competitive programming achievements or strong contest rankings — ICPC, CCPC, Codeforces (2000+ or equivalent), USACO, NOI/NOIP or similar. 

Prior experience on quantitative projects such as strategy backtesting, high-frequency trading systems or market data engines. 

Familiarity with multithreading and concurrency, lock-free data structures, or network programming (TCP/UDP, multicast market data). 

Proficiency in Python for rapid prototyping, data analysis and integration with C++ modules. 

A record of open-source contribution. 

What We Offer 

One-on-one mentorship from senior quantitative engineers and researchers. 

Exposure to production-grade trading systems and modern AI tooling. 

Competitive compensation and path to a full-time role. 

Our Internship 

Kick-start your career in finance with the Schonfeld Internship! Over the course of 3-6 action-packed months, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.   

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.  

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.  

__PRESENT

Source: Schonfeld careers (Greenhouse)

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