Job Description
High-impact leadership role within a core platform team delivering infrastructure and services that support financial modelling and risk analytics. The platform underpins high-performance Python applications and distributed systems used by quants and analysts, with strong business backing and a clear mandate to scale.
This is a strategic opportunity to lead near the ground floor of a modern alternative to Legacy financial platforms, with full ownership of technical direction, team structure, and delivery discipline.
Key Responsibilities:
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Lead two teams: one focused on DevOps/infrastructure, the other on quant-facing analytical tooling.
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Oversee delivery of Python-based distributed systems and REST APIs for financial risk and analytics.
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Drive cloud-native architecture (Kubernetes, GCP/AWS) and CI/CD pipelines.
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Instil engineering discipline to ensure scalability and prevent platform sprawl.
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Align platform strategy with quant and business needs through close stakeholder engagement.
Essential Skills:
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Strong Python development background.
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Experience building distributed systems and RESTful APIs.
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Cloud-native engineering (GCP or AWS), Kubernetes, DevOps tooling.
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Background in financial systems or risk platforms.
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Proven leadership in finance or analytics tooling environments.
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Ability to translate complex business requirements into technical strategy.
Desirable:
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Front End experience (TypeScript/ReactJS).
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Knowledge of options pricing or financial risk modelling.
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Exposure to large-scale compute or analytical platforms.
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Experience interfacing with quants or leading early-stage platform strategy.
Why This Role:
This is a rare opportunity to lead a platform function with significant influence. You'll guide a team building cutting-edge tooling used by top-tier finance professionals. With strong support from the business and a vision to scale, this role puts you at the heart of innovation in financial risk technology.