Quantitative Developer

Barlowe LLP; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An innovative firm is seeking talented Quantitative Developers to drive success in finance through cutting-edge technology. In this dynamic role, you will collaborate with researchers to develop high-quality software solutions that operate in global financial markets. With a focus on performance and scalability, your contributions will help shape the future of finance. Enjoy a stimulating work environment that values creativity and collaboration, along with competitive compensation and generous benefits, including 35 days of annual leave and a comprehensive healthcare plan. Join a team that is passionate about technology and its impact on finance.

Benefits

Highly competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Informal dress code

Comprehensive healthcare

Monthly company events

Qualifications

• Proven ability to engineer high-quality software with end-to-end ownership.
• Good understanding of algorithms and data structures, with a proactive learning approach.

Responsibilities

• Develop high-performance trading systems and research tools for quant researchers.
• Optimize trading and research systems to enhance capabilities and performance.

Skills

C#

Python

Software Engineering

Algorithms

Data Structures

Quantitative Finance

Problem-Solving

Communication Skills

Collaboration

Job description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers.

Our Quantitative Developers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future.

The core tech stack is C# and Python, productionised in our own datacentres.

Areas of focus for these teams include:

1. Trading systems – reliable and performant systems able to trade 24/6 for our customers, with real money at stake
2. Modelling – building core capabilities and assisting quant researchers in our cutting edge prediction capabilities
3. Simulation – back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance
4. Research tooling – front-end UX and workflow for our quant researchers
5. Performance and scalability – optimising our trading and research systems to unlock new capabilities

To give a flavour of the work we do, here are some of our recent projects:

1. Low level performance optimisations in our core simulation engine, unlocking the next advances in quant research
2. Experimenting with alternative solvers in a core trade planning system
3. Integrating our high and low frequency systems for more optimal trading
4. Re-architecting systems to provide a seamless path from research to production for machine learning models
5. Enabling large-scale distributed training of machine learning models
6. Contributing back to open source projects

Who are we looking for?

The ideal candidate will have the following skills and experience:

1. A genuine interest in technology
2. Proven ability to engineer high-quality software
3. Appreciation of architecture and engineering best practices
4. Experience of end-to-end ownership of solutions, from articulation through to delivery
5. Good understanding of fundamental algorithms and data structures
6. An interest in quantitative finance and an understanding of the role engineering plays within the space
7. The ability to prioritise, plan and deliver to demonstrably drive business results
8. The ability to proactively identify where we can improve and implement long term, scalable solutions to drive business outcomes.
9. A proactive approach to learning, staying ahead of the technology curve and identifying how we can adopt new technologies in the ways we work
10. Balanced judgement, with the ability to evaluate different approaches and identify solutions for the benefit of the overall business
11. Adaptable communication styles and approaches tailored to their audience in order to convey compelling messages
12. The ability to understand the needs and challenges of others and present mutually beneficial solutions
13. A collaborative approach with the ability to build effective relationships across the business

Why should you apply?

1. Highly competitive compensation plus annual discretionary bonus
2. Lunch provided (via Just Eat for Business) and dedicated barista bar
3. 35 days’ annual leave
4. 9% company pension contributions
5. Informal dress code and excellent work/life balance
6. Comprehensive healthcare and life assurance
7. Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

At G-Research, we are passionate about the intersection of finance, technology, and the future.

We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.