Quantitative Developer (Jr-Mid Real-Time Systematic Trading)

About The Business:

Team & Company: Lesser-known but nonetheless consistently successful (20% gains year on year for past half-decade), group working on exclusively computer-driven strategies. Renowned for their state-of-the-art proprietary trading engine and data platform. Entirely systematic business where technology operates at its core: employees who predominantly focus within investment are nonetheless highly technical e.g. HPC PhD. Mid-High freq. strategies so very much a real-time environment where nanoseconds count- optimisation and efficiency is key.

DNA and Culture: Technical ability and communication skills prioritised over background: current group come from a range of industries (Snapchat, Amazon, OxFORD Asset Management, WorldQuant, Cubist. Laid-back, highly collaborative culture where the ideas taken forward are the most innovative, not those of the most senior in the room. Every engineer reports to the CTO. The fund is committed to furthering professional and technical growth (e.g. CppCon attendance, specialist courses).

Location: London, hybrid. Can sponsor EU visas. Some leeway for a seat in NYC.

Initial Steps: 1) Submit CV via LinkedIn / Email 2) Introduction to the role with me 3) 1hr VC with existing team-member to assess technical skills and answer any of your questions about working there.

About The Roles:

All Roles:

• Comp Sci or Electrical Engineering degree from a top university.
• Technical ability is priority so candidates with experience in e.g. rust or java will still be considered for Python / C++ roles.
• Personable and highly communicative. Enthusiasm is essential: recieving feedback proactively, desire to take ownership and have substantial impact.
• For all roles, 1-4 years of experience in a relevant role is ideal.
• Focus on writing clean code that can easily be manipulated for implementation is key. Vouching for best-practices in engineering.

Quantitative Developer / Research Infra Pathway

Work directly with traders, PMs and quant researchers to build out robust, scalable tools and infrastructure for use in real-time trading environment. Unearthing and exploration of traditional and alternative datasets. Leveraging existing technologies, optimisation of desk-specific tools / systems and greenfield builds.

Python, SQL is a plus. 2+ years in finance or technology.

Data Focused Quant Developer Pathway

Work directly with quant division on all tasks related to the fund’s highly sophisticated data platform. Ownership over investment datasets and libraries (structured / unstructured, traditional / financial) across research, analysis maintenance, scalability and build-out.

Python, SQL, ETL Pipelines. ML experience a plus. 1-4 years in finance or technology.

C++ Software Engineer Pathway

Ownership over build-outs for integrants of the business’s trading engine, across areas including market connectivity, order management, feed handlers etc. Explore new methods for enhancing existing components of the tech set-up and lead-out optimisation of current tools / systems.

C++, Python. Experience with metaprogramming is preferred.

Accepting applications via LinkedIn quick apply, or alternatively please email your CV to pia.robinson@thurnpartners.com.