Senior Python Developer - Equity Derivatives (Front Office)

1254 BC Asia Ltd; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Barclays is seeking a Senior Developer in QIS Technology to design, develop, and improve software supporting the QIS trading and structuring teams. You will provide local expertise to accelerate issue resolution, onboarding of new datasets and strategies, and align with business requirements.

Required: expert Python, equity derivatives knowledge, market data proficiency, SRE mindset, and experience with Docker/Kubernetes. Desirable: Java, Airflow, Dagster, KDB, Oracle.

Qualifications

• Expert in Python programming.
• Expertise in Equity Derivatives (Futures, Options, Strategies).
• Experience working with front office users – trading, quants and structuring.
• Market data knowledge and usage in equity front office systems (Reuters/Bloomberg).
• SRE & software quality mindset (ownership, accountability).
• Desirable: Derivatives pricing knowledge – greeks, curves, funding.
• Knowledge of Commodities – Futures/Options.
• Experience with Docker, Cloud env and Kubernetes.
• Desirable: Java, Airflow, Dagster, KDB, Oracle.

Responsibilities

• Design, develop, and improve software for business, platform, and tech capabilities.
• Collaborate with product managers, designers, and engineers; define requirements and strategies.
• Promote code quality, participate in reviews, and stay current with tech trends.

Skills

Python

Equity derivatives

Front Office users

Market data

SRE mindset

Derivatives pricing

Commodities

Docker

Kubernetes

Java

Airflow

Dagster

KDB

Oracle

Tools

Docker

Kubernetes

Java

Airflow

Dagster

KDB

Oracle

Job description

Barclays is seeking a Senior Developer in QIS Technology to design, develop, and improve software supporting the QIS trading and structuring teams. You will provide local expertise to accelerate issue resolution, onboarding of new datasets and strategies, and align with business requirements.

Required: expert Python, equity derivatives knowledge, market data proficiency, SRE mindset, and experience with Docker/Kubernetes. Desirable: Java, Airflow, Dagster, KDB, Oracle.