Develop and maintain robust, low-latency trading systems and infrastructure. Collaborate with traders and quantitative researchers to translate strategies into production-ready code. Optimize data pipelines, analytics tools, and backtesting frameworks for maximum efficiency and scalability. Contribute to the design and implementation of automated trading platforms and real-time monitoring systems. Requirements: Strong proficiency in Python, with experience in production More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Radley James
Develop and maintain robust, low-latency trading systems and infrastructure. Collaborate with traders and quantitative researchers to translate strategies into production-ready code. Optimize data pipelines, analytics tools, and backtesting frameworks for maximum efficiency and scalability. Contribute to the design and implementation of automated trading platforms and real-time monitoring systems. Requirements: Strong proficiency in Python, with experience in production More ❯
power our trading strategies. 💼 What You’ll Do Develop and maintain high-performance C# applications used in research, risk, and trading Collaborate with quants to implement pricing models and backtesting frameworks Enhance data processing pipelines and contribute to performance optimization Gain exposure to financial markets, trading systems, and quantitative research 🧠 What We’re Looking For Strong programming skills in C# More ❯
Greater London, England, United Kingdom Hybrid/Remote Options
Hunter Bond
Strong understanding of high level system design Outstanding academic background A curious and tech driven personality! Responsibilities: Develop and Maintain Research Platforms, building Python-based tools and libraries for backtesting strategies, analyzing data, and simulating trading logic to support quant researchers. Implement Quantitative Models and Signals, translating trading ideas or academic models into production-ready Python code, ensuring reproducibility, performance More ❯
engineers with a proven record of shipping at scale. We are running a selective, quality-first process rather than speed hiring. Stream 1. Execution Infrastructure Quant Dev: Own the backtesting engine, data ingest, and the deployment path that pushes research to production. Build scalable backtests, benchmarking, artefact management, and release tooling on AWS. Improve execution quality end to end: slippage More ❯
engineers with a proven record of shipping at scale. We are running a selective, quality-first process rather than speed hiring. Stream 1. Execution Infrastructure Quant Dev: Own the backtesting engine, data ingest, and the deployment path that pushes research to production. Build scalable backtests, benchmarking, artefact management, and release tooling on AWS. Improve execution quality end to end: slippage More ❯
processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Hunter Bond
processing pipelines for market data Ensure data integrity, latency minimization, and fault tolerance in streaming environments using q and kdb+ capabilities. Collaborate with quantitative researchers to develop research tools, backtesting frameworks, and analytics in q. Provide fast-access APIs and utilities to extract and manipulate data for strategy testing and signal generation. Key Requirements: Degree in Computer Science or STEM More ❯
batch execution. Design efficient data pipelines to ingest, clean, and store large volumes of financial and alternative data for use in signal generation. Improve computational efficiency and latency of backtesting, screening, or signal engines to handle high data throughput. Work closely with quant researchers to turn raw trading ideas into actionable, production-ready strategies. Tech: C#, Python, AWS If you More ❯
batch execution. Design efficient data pipelines to ingest, clean, and store large volumes of financial and alternative data for use in signal generation. Improve computational efficiency and latency of backtesting, screening, or signal engines to handle high data throughput. Work closely with quant researchers to turn raw trading ideas into actionable, production-ready strategies. Tech: C#, Python, AWS If you More ❯
in a systematic strategy. Role/Responsibilities: Perform rigorous and innovative research to discover systematic anomalies in equity markets End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization, and production implementation Identify and evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in the production environment Requirements: MS or PhD in physics, engineering More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Batonics AB
builds high-throughput quantitative trading and research platforms and AI agents for leading funds and institutions across Asia, the U.S., and Europe. Our products deliver advanced market-microstructure analytics, backtesting, portfolio and risk tools, and formal verification for low-latency systems merging high-performance computing, AI, and frontier quantitative research. We have been almost doubling revenue every quarter, and need More ❯
builds high-throughput quantitative trading and research platforms and AI agents for leading funds and institutions across Asia, the U.S., and Europe. Our products deliver advanced market-microstructure analytics, backtesting, portfolio and risk tools, and formal verification for low-latency systems merging high-performance computing, AI, and frontier quantitative research. We have been almost doubling revenue every quarter, and need More ❯
Build scalable infrastructure for time-series feature storage, retrieval, and versioning optimised for ML workloads. MLOps Pipelines: Design end-to-end workflows for data ingestion, feature engineering, model training, backtesting, and deployment. Data Ingestion Layer: Connect raw data streams into structured, queryable formats (Parquet/Delta Lake). Production Serving: Deploy feature computation and model inference with appropriate latency characteristics. More ❯
Build scalable infrastructure for time-series feature storage, retrieval, and versioning optimised for ML workloads. MLOps Pipelines: Design end-to-end workflows for data ingestion, feature engineering, model training, backtesting, and deployment. Data Ingestion Layer: Connect raw data streams into structured, queryable formats (Parquet/Delta Lake). Production Serving: Deploy feature computation and model inference with appropriate latency characteristics. More ❯
core systematic strategies team. Role The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models. Build and enhance data pipelines and backtesting frameworks for large-scale market data. Integrate new data sources and ensure data quality and reliability across research environments. Refactor and optimise existing code for performance and maintainability. Contribute to … or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research and technology teams. Exposure to low-latency or real More ❯
Role Title: Junior KDB+ Developer Location: London, UK On-site working Full time employment Start Date: ASAP Overview Our consultant will be sitting within our client's eFX technology department that is responsible for a suite of applications and services More ❯
Role Title: Junior KDB+ Developer Location: London, UK On-site working Full time employment Start Date: ASAP Overview Our consultant will be sitting within our client's eFX technology department that is responsible for a suite of applications and services More ❯
only ATM to work as my images showing Auto trade works like this i.e, please check this website and see if you can create similar ATM based on my Backtesting my mt4 bot 30+ USD Ninja Trader 8 to place and execute the trades but I want to use MT4 for the analysis and trade entry criteria 50 - 70 USD More ❯
Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland More ❯
Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland More ❯
Lead Quant Developer – Prague, Czech Republic - 1 year working with team in Prague, then option to work remotely afterwards. 4–5 years’ experience | High Compensation | Relocation Costs Covered Join a leading systematic trading firm with a strong presence across equities More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Harrington Starr
Lead Quant Developer – Prague, Czech Republic - 1 year working with team in Prague, then option to work remotely afterwards. 4–5 years’ experience | High Compensation | Relocation Costs Covered Join a leading systematic trading firm with a strong presence across equities More ❯
A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the More ❯
As a C# skilled Quant Developer , you'll work closely with portfolio managers, researchers, and data scientists to build and maintain the systems that drive our alpha-generating strategies. You’ll contribute to every part of the investment pipeline—from More ❯