Junior Quant Developer: AI-Driven Trading & Backtesting

DeepFin Research; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

DeepFin Research in London is seeking a Junior Quant Developer to productionise research into robust, high-performance trading systems. You will translate Python research into production C++, build backtesting/simulation infrastructure, and support strategy development using L3 market data across venues.

The role is hands-on, engineering-heavy, with end-to-end ownership of components and direct impact on research velocity and trading PnL in a fast-moving environment.

Qualifications

• Degree in Computer Science, Engineering, Math, or Physics.
• 0–3 years in quantitative finance or data-intensive roles with C++.
• Strong knowledge of C++ memory management, STL and performance.

Responsibilities

• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics.
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and fixes with tests.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements end-to-end.

Skills

C++

Python

System design

Education

Bachelor's or Master's in CS/Engineering/Math/Physics

Tools

STL

Pandas

Job description

DeepFin Research in London is seeking a Junior Quant Developer to productionise research into robust, high-performance trading systems. You will translate Python research into production C++, build backtesting/simulation infrastructure, and support strategy development using L3 market data across venues.

The role is hands-on, engineering-heavy, with end-to-end ownership of components and direct impact on research velocity and trading PnL in a fast-moving environment.