Quant Developer

Hunter Bond; Town of Florida (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity participation

Excellent base plus bonus

Start-up culture with a roadmap to $1 billion AUM

Job summary

Hunter Bond is searching for a Quant Developer to join an ambitious quantitative investment firm. The successful candidate will play a key role in designing and managing high-performance trading systems that influence trading directly from day one.

Ideal applicants should have a strong academic background in Machine Learning or Computer Science and advanced Python skills. This position offers a startup atmosphere with significant equity participation and bonuses.

Qualifications

• Strong experience in trading or latency-sensitive environments.
• Advanced skills in Python and core libraries.
• A focus on iterative problem-solving and system improvement.

Responsibilities

• Build and maintain high-performance trading systems.
• Optimize performance and reliability across execution stack.
• Collaborate with quant and machine learning researchers.

Skills

High-performance code in trading

Machine Learning

Python

Problem-solving mindset

Education

BSc, MSc or PhD in Machine Learning, Computer Science or Engineering

Tools

PyTorch

TensorFlow

NumPy

pandas

scikit-learn

Job description

Role: Quant Developer

Client: Ambitious, early-stage quantitative investment firm

Compensation: Excellent base plus bonus + Equity on offer

Location: Connecticut, United States

Overview

We’re partnering with an ambitious, early-stage quantitative investment firm that’s quietly assembling a world‑class engineering and research team. Backed by experienced founders and operating at the intersection of markets, data, and machine intelligence, this fund is building high-performance trading systems across equities, crypto, and futures. They’re now looking to add a Quant Developer who thrives in a fast‑moving start‑up environment and wants real ownership over mission‑critical trading infrastructure.

The Role

This is not a siloed role. You’ll sit close to the research, trading, and execution stack, helping to design, build, and scale systems that directly impact P&L from day one. You will contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting.

Key responsibilities include

• Build, maintain, and evolve production‑grade trading systems that manage and execute orders across multiple MFT strategies and exchanges in equities, crypto, and futures.
• Optimize performance, reliability, and latency across the execution stack, with a strong focus on robustness in live trading environments.
• Partner closely with quant and machine learning researchers to continuously refine data pipelines, signals, and execution logic.
• Contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting.

Requirements

• Strong experience building high‑performance, production‑quality code in a trading or similarly latency‑sensitive environment.
• Strong BSc, MSc or PhD academic background in Machine Learning, Computer Science or Engineering.
• Advanced Python skills; experience with PyTorch, TensorFlow, NumPy, pandas, scikit‑learn.
• A pragmatic, problem‑solving mindset—someone who enjoys shipping, iterating, and improving real systems.
• The flexibility and ownership mentality required to succeed at an early‑stage fund.
• Nice to Have: C++ or other low‑level language experience; Distributed computing/large‑scale data pipelines; Prior systematic/prop trading or quant fund experience; Equities mid‑frequency.

What’s on Offer

• Start‑up culture with genuine roadmap to $1billion AUM.
• Equity on offer alongside excellent base plus bonus.
• Machine learning is core to the investment process, not an overlay.
• Exposure to multiple asset classes within a unified research framework.
• Opportunity to influence model design, data architecture and research standards.

If you are interested in this Quant Developer position and meet the above requirements please apply immediately.