Job Req Id:
Location(s): London, England, United Kingdom
Job Type: Hybrid
Posted: May 04, 2026
Discover your future at the company
Working at the company is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At the company, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
Quant Developer – Trading Analytics – Equity Derivatives Tech
Engineer the future of global finance. At the company, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with the company Tech.
Equities Tech
Equities Technology at the company is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at the company.
The Team
The company’s Equities Technology organisation is investing in front‑office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks.
We are hiring a hands‑on Quantitative Developer to build data‑driven, model‑led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real‑time market insight.
Role Overview
You will work directly with traders, quants, and structurers to design and deliver production‑grade tools for the front office.
Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses. Partner with traders and quants to productionise models and analytical workflows.
Build real‑time pricing, risk, and market data analytics to support positions, Greeks, P&L, exposures, and execution monitoring.
Develop backtesting and simulation frameworks for equity derivatives and structured products.
Create data pipelines and services for market data, trade data and derived analytics.
Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.
Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.
Optimise performance, scalability, and reliability of quantitative applications.
Skills required
Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray
Experience with high‑performance data stores and query engines like Trino/Snowflake
Experience with financial concepts such as Equities / Options / Futures
Demonstrable evidence using agentic frameworks for Software development and experience with AI‑native solutions using context engineering techniques.
A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software Engineering
Skills desired
Experience with real‑time streaming analytics tech like Kafka / Flink
Experience with cloud container technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.
What we’ll provide you
By joining the company, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
27 days annual leave (plus
Location(s): London, England, United Kingdom
Job Type: Hybrid
Posted: May 04, 2026
Discover your future at the company
Working at the company is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At the company, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
Quant Developer – Trading Analytics – Equity Derivatives Tech
Engineer the future of global finance. At the company, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with the company Tech.
Equities Tech
Equities Technology at the company is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at the company.
The Team
The company’s Equities Technology organisation is investing in front‑office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks.
We are hiring a hands‑on Quantitative Developer to build data‑driven, model‑led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real‑time market insight.
Role Overview
You will work directly with traders, quants, and structurers to design and deliver production‑grade tools for the front office.
Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses. Partner with traders and quants to productionise models and analytical workflows.
Build real‑time pricing, risk, and market data analytics to support positions, Greeks, P&L, exposures, and execution monitoring.
Develop backtesting and simulation frameworks for equity derivatives and structured products.
Create data pipelines and services for market data, trade data and derived analytics.
Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.
Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.
Optimise performance, scalability, and reliability of quantitative applications.
Skills required
Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray
Experience with high‑performance data stores and query engines like Trino/Snowflake
Experience with financial concepts such as Equities / Options / Futures
Demonstrable evidence using agentic frameworks for Software development and experience with AI‑native solutions using context engineering techniques.
A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software Engineering
Skills desired
Experience with real‑time streaming analytics tech like Kafka / Flink
Experience with cloud container technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.
What we’ll provide you
By joining the company, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
27 days annual leave (plus
Contact Details:
United States Digital Space LLC Recruitment Team
