Architect and develop risk applications in line with microservices patterns, distributed caching, and stream processing with a view to scale to hundreds of billions of computations daily;
Architect and develop efficient, on-demand pricing solutions;
Deliver large-scale P&L and risk impacting projects for the trading and sales function, in line with business growth opportunities and regulatory initiatives;
Contribute to the technical direction the future versions of the risk platform;
Provide technical leadership to the group and beyond, adopting a scalability and stability-first approach to design and implementation;
Leverage industry standard DevOps practices and tooling for CI/CD, TDD and build tools;
Develop tooling and processes to enhance the efficiency of the team;
Collaborate with technical and non-technical teams to solve business and technology challenges;
Adopt a client-centric approach in support of business growth models;
Develop a deep understanding of securities pricing and risk across different asset classes.

Requirements

Minimum 5 years of experience in Python development;
Experience with cloud migration or cloud-based development environments;
Experience with distributed systems, large-scale computations, or high-volume data processing;
Proficiency in Python, SQL Server, and experience working with Pandas;
Strong understanding of test-driven development (TDD) and Git;
Solid understanding of capital markets and derivatives pricing;
Excellent technical, diagnostic, and troubleshooting skills;
Excellent leadership, organizational and communication skills.
Experience with messaging technologies and streaming platforms (Kafka, Flink, or similar);
Experience with NoSQL databases, distributed caching, or Big Data tools;
Experience with Azure (preferred), AWS, or GCP;
Knowledge of DevOps tooling (CI/CD, Jenkins, build tools);
Understanding of risk, P&L, and exposure metrics across asset classes.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQL ServerPandasTDDGitdistributed systemshigh-volume data processingmessaging technologiesstreaming platformsNoSQL databases

Soft Skills

leadershiporganizational skillscommunication skillsdiagnostic skillstroubleshooting skills