Research Engineer (Python) - Hybrid- Tech-Driven Quant Trading Firm

Quality Control Specialist - Pest Control; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading firm in the trading industry is seeking a Research Engineer to utilize advanced technology for developing innovative trading strategies. This role emphasizes collaboration, requiring strong quantitative problem-solving skills, proficiency in programming (Python and C++), and a passion for financial markets. The position offers hybrid working arrangements, competitive salaries, and attractive benefits such as catered meals and health insurance.

Benefits

Competitive base salaries + discretionary performance bonus

Hybrid working opportunities

Catered meals and bountiful snacks

Generous budget for home office set-up

Health & Dental insurance, pension provision

Fitness & wellness benefits

Qualifications

• Strong familiarity with statistics and quantitative problem-solving.
• Self-starter able to implement statistical ideas in code.
• Interest in financial markets or learning more about them.

Responsibilities

• Research, test and deploy new trading strategies.
• Design and build research infrastructure for testing trading ideas.
• Code in Python to express statistical ideas and market relationships.

Skills

Statistical problem-solving

Proficiency in Python

Proficiency in C++

Education

Bachelor's degree in Computer Science, Mathematics, Physics

Job description

Summary

Unique trading firm that uses world-class technology to generate and implement outstanding research ideas, underpinned by a truly collaborative culture. Looking for a talented Research Engineer to research, test and deploy new trading strategies, as well as designing and building research infrastructure to test trading ideas.

You'll work closely with teammates to identify and develop new trading opportunities. You'll code in Python to express statistical ideas and relationships between securities, producing hypotheses about market participants and dynamics. You'll also design & implement new research tools to meet requirements and extend existing tools.

The successful Research Engineer will be a strong quantitative problem-solver, skilled at implementing performant code and in their element when designing user-friendly tools for colleagues. If you do your best work in a highly collaborative working environment where everyone's ideas are valued and knowledge is shared, this role would be perfect for you!

Requirements

• Bachelor's degree in Computer Science, Mathematics, Physics (or related), with strong familiarity with statistics and quantitative problem-solving
• Self-starter, with ability to implement statistical ideas in code
• Strong proficiency in Python and C++ (or equivalent) preferred
• Interest in financial markets or learning more about financial markets
• Previous experience in quantitative finance or trading is a plus, but is not required

Benefits

• Competitive base salaries + discretionary performance bonus
• Hybrid working opportunities
• Catered meals and bountiful snacks
• Generous budget for home office set-up
• Health & Dental insurance, pension provision, plus fitness & wellness benefits

Contact
If you feel you are suitable for this role, or would like more information, drop me an email:

Jack Peck
[e-mail]
linkedin.com/in/jack-peck-448a70131