Job Description

Hunter Bond is recruiting a high-caliber Python Quantitative Developer for a prestigious global hedge fund in London. This is a “Code-to-P&L” role where engineering excellence meets algorithmic trading. You will not be siloed in a back-office tech function; instead, you will sit in the Front Office, working as a strategic partner to Portfolio Managers (PMs) and Quantitative Researchers.

Your primary mandate is to transform sophisticated mathematical research into high-performance, production-ready trading systems. Whether you are optimizing a low-latency signal or building an elastic backtesting framework, your code will be the engine that drives live trading decisions. This environment is intellectually rigorous and demands a developer who views Python not just as a scripting tool, but as a vehicle for financial innovation.

Key Responsibilities

Platform Engineering: Architect and evolve Python-based platforms for quantitative research, risk management, and live trade execution.
Model Productionization: Partner with Quants to implement and optimize complex trading signals, ensuring they are performant and resilient under market stress.
Data Strategy: Build high-throughput data pipelines to ingest, clean, and normalize massive financial datasets (tick data, alternative data, etc.).
Infrastructure Optimization: Develop and refine back-testing engines and analytics tools that allow for rapid iteration on new investment strategies.
Systems Reliability: Ensure the absolute stability and scalability of front-office systems where downtime has immediate financial consequences.

Required Qualifications & Experience

Python Mastery: Expert-level Python skills with a focus on data-intensive or high-performance computing (e.g., Pandas, NumPy, Numba, asyncio).
Sector Background: Prior experience in a quantitative, trading, or data-heavy financial environment (Hedge Fund, Prop Shop, or Investment Bank).
Quantitative Literacy: A solid grasp of time-series analysis, statistics, and risk metrics; you should understand what the model is doing, not just how to code it.
Front-Office Experience: Demonstrated ability to work effectively with PMs and Quants in a fast-paced, high-pressure environment.
Academic Rigor: A strong degree (typically MS or PhD) in Computer Science, Mathematics, or a related field.

Job Data Table

Category	Details
Company Name	Hunter Bond (on behalf of a Global Hedge Fund)
Location	London, United Kingdom (Hybrid)
Locality	City of London / Mayfair
Job Type	Full-time
Base Salary	Up to £180,000 per year
Bonus	Significant Performance-Linked Discretionary Bonus
Experience Level	Senior / Lead
Primary Language	Python
Benefits	Private health, pension, top-tier tech stack, elite culture

Skills & Competency Table

Key Skill	Proficiency Level
Python (Numerical Stack)	Expert
System Architecture	Advanced
Time-Series Analysis	Advanced
Backtesting Frameworks	Expert
Trading Signal Implementation	Advanced
SQL / NoSQL Databases	Advanced

Salaries & Compensation Analysis

Component	Estimated Value	Notes
Base Salary	£150,000 – £180,000	Reflects a senior-to-lead individual contributor level.
Annual Bonus	£50,000 – £150,000+	Highly variable; tied to individual impact and fund P&L.
Total Comp	£200,000 – £330,000+	Top-of-market for elite London quant devs in 2026.

Job Summary

This elite role at a London hedge fund involves building and productionizing Python trading platforms. You will work in the front office alongside PMs and Quants to implement signals, build backtesting tools, and manage data pipelines. Requires expert Python, 5+ years of financial tech experience, and a strong quantitative foundation.

5 FAQs

Is this a “pure” coding role? No. You are expected to understand the underlying financial models and contribute to the “how” and “why” of signal development.
What is the hybrid policy? While specific to the fund, most Hunter Bond clients at this level operate on a 3-day in-office / 2-day remote split.
Who is the end client? Hunter Bond keeps the specific fund confidential until the screening stage, but they represent Tier-1 systematic and multi-manager funds.
Do I need C++? The focus is Python, but many funds use C++ for their core execution engines; knowing it is a significant “nice-to-have” for integration.
What is the “Bonus” potential? In the front office, bonuses are typically a percentage of the alpha generated or a significant portion of the base (30–100%+).

Expert Analysis

In 2026, the barrier between Quant Research and Quant Dev has almost entirely dissolved. Elite funds now prioritize “Full-Stack Quants” who can write production-grade Python that is both mathematically sound and architecturally scalable. This role’s focus on Signal Productionization indicates a move toward CI/CD for Alpha, where new ideas are moved into the market in hours rather than weeks.

Career Path

A Senior Quant Developer in this seat typically moves into a Head of Quant Development role or transitions into a Quantitative Researcher or Sub-PM position. Because of the heavy P&L exposure, this is one of the most lucrative “Engineering” paths in the global workforce.

To apply for this job please visit uk.linkedin.com.