Quantitative Developer

Delmar Nord; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Delmar Nord in New York is seeking Quantitative Developers to join our Research team. This role blends research and development, allowing you to contribute to both ideas and their implementation, with a collaborative, data-driven culture.

You’ll help build high-performance C++ libraries, simulation engines, and APIs for a next-generation research platform built on modern C++, distributed computing, and cloud tech.

Qualifications

• A degree in computer science with a quantitative focus.
• 2+ years of relevant work experience.
• Strong academic or professional performance.
• Hands-on experience writing production-quality C++ for data-driven or performance-sensitive business.
• Experience with multithreading, concurrency, and performance profiling on Linux.
• Familiarity with Python is a plus, particularly for prototyping and integrating with research tooling.
• Interest in financial markets (no prior experience required).
• Strong communication skills, including the ability to explain technical tradeoffs to researchers.
• High energy and a strong sense of ownership.

Responsibilities

• Designing, writing, and maintaining modern C++ (17/20) code that powers research and production workflows.
• Building and optimizing core components of the research stack, including back-testing and simulation engines, signal libraries, and numerical toolkits.
• Profiling and tuning performance-critical code for latency, throughput, and memory efficiency.
• Exposing C++ libraries to researchers through clean APIs and Python bindings (e.g., pybind11).
• Running exploratory statistical analysis on large, complex datasets from structured and unstructured sources.
• Evaluating new libraries, compilers, and tooling through proof-of-concept work.
• Partnering with engineers to design high-volume data feeds from third-party vendors.

Skills

Advanced C++

Multithreading

Performance profiling

Python knowledge

Problem solving

Education

CS degree / quantitative

Tools

pybind11

Linux

CMake

GCC/Clang

Job description

About the Role

We’re hiring Quantitative Developers to join our Research team. This role blurs the lines between research and development and lets you contribute on both fronts. The team is collaborative and data-focused: it generates investment ideas, translates them into trading signals, back-tests those signals, and builds return, risk, and cost forecasts that inform trading decisions. The team values a supportive, professional culture built on initiative and strong work ethic.

The quantitative development function within Research builds the high-performance C++ libraries, simulation engines, and APIs that let the broader team generate, test, and deploy investment ideas faster.

In this role, you’ll contribute to a next-generation research platform built on modern C++, distributed computing, and cloud technologies, working on core components where performance directly shapes how quickly the team can iterate.

What You’ll Do

Scope will expand as your skills and experience grow. Depending on your strengths, your day-to-day may include:

• Designing, writing, and maintaining modern C++ (17/20) code that powers research and production workflows
• Building and optimizing core components of the research stack, including back-testing and simulation engines, signal libraries, and numerical toolkits
• Profiling and tuning performance-critical code for latency, throughput, and memory efficiency (cache behavior, vectorization, multithreading)
• Exposing C++ libraries to researchers through clean APIs and Python bindings (e.g. pybind11)
• Running exploratory statistical analysis on large, complex datasets from structured and unstructured sources
• Evaluating new libraries, compilers, and tooling through proof-of-concept work
• Partnering with engineers to design high-volume data feeds from third-party vendors

What We’re Looking For

• A degree in computer science with a quantitative focus (math, finance, etc.), or a quantitative degree with a strong computer science component
• 2+ years of relevant work experience
• A track record of strong academic or professional performance
• Solid analytical and problem-solving abilities
• Hands‑on experience writing production-quality C++ for a data‑driven or performance‑sensitive business, ideally in trading or investment management
• Advanced C++ skills, including templates, the STL, move semantics, and memory management
• Experience with multithreading, concurrency, and performance profiling on Linux
• Strong grasp of object-oriented and generic programming, data structures, and numerical algorithms
• Working knowledge of probability and statistics, including regression and time-series methods
• Familiarity with Python is a plus, particularly for prototyping and integrating with research tooling
• A curious mindset and openness to learning new tools
• Interest in financial markets (no prior experience required)
• Strong communication skills, including the ability to explain technical tradeoffs to researchers
• High energy and a strong sense of ownership

Keywords

C++, C++17, C++20, Modern C++, STL, Templates, Generic Programming, Multithreading, Concurrency, Low Latency, High-Performance Computing, Performance Optimization, Profiling, SIMD, Vectorization, Memory Management, Linux, Unix, CMake, GCC, Clang, pybind11, Python, Quantitative Development, Research, Investment Research, Trading Signals, Back-Testing, Simulation Engines, Risk Forecasting, Statistical Analysis, Numerical Algorithms, Probability, Statistics, Linear Regression, Time-Series Analysis, Object-Oriented Programming, Data Structures, Distributed Computing, Kafka, SQL, Unit Testing, Google Test, Continuous Integration, Containerization, Cloud Computing, API Development, Software Engineering, Financial Markets, Investment Management, Big Data