Job Description

Initially, you will receive guidance from a veteran team member while focusing on the execution and refinement of current trading approaches. Your duties involve investigating, designing, and coding advanced data analytics tools and algorithms using C++. Furthermore, you will lead the study, historical performance evaluation, C++ development, and live integration of original trading methodologies.

Requirements:

A Doctorate from a leading academic institution in fields such as Artificial Intelligence, Machine Learning, Computer Science, Statistics, Econometrics, Signal Processing, Operations Research, or Computer Vision.
Highly talented individuals with a Master’s degree will also be reviewed.
The ability to apply your specialized research knowledge towards the creation and improvement of quantitative trading models and strategies.
Practical knowledge of managing extensive or imperfect datasets.
A prominent history in academic research or professional internships at high-profile firms.
Robust coding expertise in C++, along with proficiency in Python or Perl.
A clear and evident passion for algorithmic and systematic trading.
Prior exposure to portfolio management theory, reinforced learning, statistical methods, or time-series evaluation.
Applications are welcome from recent 2026 PhD graduates as well as those finishing their doctoral studies later this year.
The selection process includes sessions with executive partners and rigorous technical assessments with the quantitative and engineering staff.
The workplace offers a premier atmosphere characterized by exceptional employee retention.
Candidates must already possess the right to work as no visa sponsorship is available.

Job Data Table

Category	Details
Company Name	Not Specified (Quant Trading Firm)
Location	Not Specified
Locality	Not Specified
Country	Not Specified
City	Not Specified
Region	Not Specified
Job Type	Full-time
Salaries	Not Specified
Experience Level	Junior / PhD Graduate
Travel	Not Specified
Language	English
Benefits	Mentorship, excellent environment, low turnover

Skills & Competency Table

Key Skill	Level
C++ Programming	Expert
Python / Perl	Advanced
Time Series Analysis	Advanced
Machine Learning / Reinforced Learning	Advanced
Back-testing	Advanced
Statistics & Econometrics	Expert

Salaries Pay Calculator Table

Annual Salary	Bonus	Total Compensation	Notes
Competitive	Performance-based	TBD	Salaries are competitive for top-tier PhD graduates.

Job Summary

This role involves researching and implementing systematic trading strategies under the mentorship of senior partners. Working primarily in C++, you will design data analysis tools, perform back-testing, and deploy new algorithms. Candidates must have a PhD or exceptional Master’s degree and strong skills in Python, statistics, and large-scale data analysis.

5 FAQs

What is the primary programming language? The role focuses heavily on C++ for implementation, with Python or Perl used for research.
Are fresh graduates eligible? Yes, the firm welcomes current PhD graduates and those completing their studies this year.
Is visa sponsorship available? No, candidates must have existing work authorization as no work visa is provided.
What does the interview process look like? It involves meetings with senior partners and technical assessments with quants and developers.
What academic background is preferred? A PhD in Computer Science, AI, Machine Learning, or other highly quantitative fields.

Expert Analysis

This position is an elite entry point for quantitative researchers. The heavy emphasis on C++ implementation alongside research indicates a “full-stack” quant role. The mention of low turnover suggests a highly stable, lucrative environment where intellectual growth is prioritized over short-term churn, common in high-tier systematic trading firms.

Location & Logistics Guide

The specific city is not disclosed in the posting, though the firm operates in an environment with low turnover. Candidates must ensure they have legal residency and work rights in the relevant territory before applying. For general context on global financial hubs, please refer to the following:

https://en.wikipedia.org/wiki/Financial_centre

Career Path

Starting as a mentored researcher, you will move into an independent Quantitative Researcher role, eventually leading strategy development. Given the low turnover and senior partner involvement, the path leads to Senior Quant or Partner levels, focusing on increasingly complex alpha generation and high-performance system architecture in systematic trading.

To apply for this job please visit www.efinancialcareers.co.uk.