KDB / Python Lead Quant Developer - Systematic Equities | London/Dubai- Leading Multi-Strategy [...]

Jobs via eFinancialCareers; London; On-site; GBP 200,000 - 600,000; Full time

Job summary

An esteemed hedge fund is seeking a talented Quant Developer to join their high-frequency systematic equities team. This pivotal role involves creating innovative backtesting and trading platforms that drive global equity strategies. You will work closely with experienced professionals, fostering a collaborative environment where your analytical skills and problem-solving abilities will shine. The position promises not only significant financial rewards but also opportunities for career advancement in a fast-paced, dynamic atmosphere. If you thrive in a challenging setting and are eager to contribute to cutting-edge financial technology, this is the perfect opportunity for you.

Benefits

Significant salary + bonus + benefits

Excellent career growth opportunities

Collaborative culture

Dynamic engineering atmosphere

Qualifications

• 3-5+ years in algorithmic trading systems, especially in systematic equity trading.
• Strong KDB/Q and Python programming experience required.

Responsibilities

• Develop systematic backtesting and trading platforms for global equity strategies.
• Collaborate with senior PM to implement efficient backtester tools.

Skills

KDB/Q

Python

Algorithmic Trading Systems

Data Science Tools

Machine Learning

Analytical Skills

Education

Bachelor's degree in Computer Science

Master's degree in Mathematics

Degree in Statistics

Tools

Jupyter

pandas

numpy

sklearn

Slurm

Job description

KDB / Python Lead Quant Developer - Systematic Equities | London/Dubai - Leading Multi-Strategy IM

Salary: 200-600k GBP TC

Summary:
One of the world's most prestigious hedge funds is looking for a Quant Developer to be a founding member of one of their high-frequency systematic equities pods. This is a high impact role, within a small, entrepreneurial team, where you will develop systematic backtesting, visualization/analyzing, and a trading platform for global equity strategies.

To do this, you'll collaborate with the senior PM and the team, implementing an efficient backtester tool for both simulation and live trading. You'll also design and implement trading systems, ensuring reliability, scalability, and timely execution, as well as sharing knowledge and promoting best practices in mentorship to junior developers.

The successful Quant Developer will be a fantastic problem-solver with strong analytical skills, with the ability to quickly understand and apply complex concepts.

Skills and Experience Required:

• 3-5+ years' experience in developing algorithmic trading systems, preferably in systematic equity trading markets
• Substantial KDB/Q and Python programming experience
• Good knowledge of modern data science tools stacks, e.g. Jupyter, pandas, numpy, sklearn, with ML experience
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-tier university
• Good understanding of using Slurm or similar parallel computing tools

Benefits & Incentives:

• Significant salary + bonus + benefits
• Dynamic, fast-paced environment; excellent career growth opportunities
• Collaborative culture and an energetic, dynamic engineering atmosphere
• Build and share knowledge with the smartest engineers in the industry

Contact:
If you think you are a good fit for the role and would like further information, please contact:
Dominic Copsey
[e-mail]
[phone]
linkedin.com/in/dom-copsey-586478143/